Types of Virtual Care: Understanding Different Forms of Digital Healthcare Virtual care has been a game changer by allowing the public and healthcare practitioners to meet via the internet. Rather than having to visit a healthcare institution many times, people can be given advice, carried out consultations, and even have their health monitored and supported from the comfort of their homes using video calls, phone calls, and even healthcare apps and websites. Virtual care offers ease of access to healthcare services especially for people residing in hard to reach places. This type of care is also very beneficial for people with chronic illnesses. There are many variations of virtual care. What Is Virtual Care? This type of care is healthcare service that is given remotely, beyond the four walls of a healthcare institution. Virtual care is made possible when healthcare practitioners are able to assess conditions, give advice and monitor health, without the patient being physically present. Virtual care employs many forms of technology, some of them are: Video calls Telephone calls Health apps Monitoring device Message systems Health platforms Virtual care cannot meet the demand for all type of healthcare services, however, it is an excellent alternative for many services, such as consultations, health teaching, follow-up visits, and management of health conditions. Types of Virtual Care Telemedicine Of all the forms of virtual care, this is the most popular. This service is the remote provision of healthcare via the internet. Telemedicine is most frequently adopted for accessibility and convenience drives the popularity of these services. Video Consultations Video Consultations are secure, video-based, virtual communication that connects patients and healthcare providers. Routine checkups, specialist appointments, and follow up visits are examples of healthcare services that are made easier and more personal when video communication is used, compared to voice only phone calls. Telephone Based Care Telephone Based Care is the most traditional and basic form of virtual care. It simply involves the healthcare provider and patient communicating via voice call. Discussions about symptoms, advice and next steps for treatment, and questions about prescriptions are all examples of phone based healthcare services. Telephone based care is the most accessible and least sophisticated form of virtual care. Remote Patient Monitoring Remote Patient Monitoring involves the use of virtual care technology that allows healthcare providers to track and monitor the patient’s health from a distance. This technology is used to monitor and collect healthcare data such as, but not limited to, blood pressure, heart rate, blood sugar levels, and weight. Virtual care is particularly useful for patients with chronic illnesses that require constant monitoring. Mobile Health Applications Mobile health applications are software that can be downloaded to a user’s smartphone or tablet and provide features that assist users in managing their health. These applications may allow users to do the following: Log Symptoms Document Health Records Book Appointments Get Reminders for Medications Read Health Literature Set and Monitor Health and Wellness Goals Mobile health applications empower health management. Store-and-Forward Care Store-and-forward care is the process of digitally sending health information to a health care professional to be reviewed at a future time. This may include: Digital Images Laboratory Results Health Records Health care professionals may view, analyze, and make recommendations based on the information, all without the need for a scheduled appointment. This method of virtual care describes the absence of a need for real time communicative interaction. Online Patient Portals Online patient portals are secure websites that house patient health care information and allow for health care communication. These portals may allow patients to do the following: Check Health Records Check Laboratory Results Schedule Appointments Message Health Care Team Members Read Descriptions of Treatments Patient portals increase the ease of health care communication and access to health care information. Virtual Mental Health Care Virtual mental health care is the provision of mental health care via a digital platform. This may include, but is not limited to, the following: Therapy Video Calls Therapy Text Messages Therapy Phone Calls Virtual mental health care is an effective way to reach mental health care for people who cannot access traditional mental health care. Digital Health Coaching Digital health coaching is the provision of health coaching in a digital format. Health coaches may guide clients with regard to: Nutrition Exercise Stress management Sleep Wellness Digital coaching tools can help individuals remain inspired and keep track of their progress. Virtual Second Opinions A Virtual Second Opinion service gives patients the option to receive more medical counsel without an in-person visit. This service is often used by patients who want to: Confirm a diagnosis Learn about other treatment options Obtain an expert opinion before a healthcare decision Virtual Second Opinions gives patients more medical options to consider without an extensive travel requirement. Book Your Free Marketing Consultation Benefits of Virtual Care There are several benefits of Virtual Care that impact patients as well as the healthcare system. Greater Access Virtual Care allows people to receive healthcare support regardless of their location, and is extremely beneficial to people who live in areas that lack adequate healthcare. More Convenience Patients can attend a consultation from their own home, which eliminates travel and wait time. Better Management of Chronic Conditions Remote care, as well as Virtual Care, allows patients to manage their chronic conditions better. Fewer Healthcare Barriers Virtual Care may improve access for people who have difficulty with transportation, mobility, or time. Ongoing Health Support Virtual Care allows communication and monitoring between support sessions. Limitations of Virtual Care Some Virtual Care benefits come at a cost. Some of the cost may be: The inability perform a physical exam Technology Issues Concerns regarding the Internet Health Privacy Concerns Situations that require an immediate or emergency response Some conditions require a physical examination, and/or laboratory testing. The Future of Virtual Care Given the right circumstances, alongside facilitating supportive policies, the development of telemedicine, eHealth, mHealth, virtual care, and integrated health systems will continue to change the healthcare system as we know
Healthcare Wearables: How Smart Devices Are Transforming Modern Healthcare An important innovation in healthcare is the development of health tech wearables. These devices have the potential to transform how the public coordinates with healthcare providers. They can track, manage, and analyze health data in real-time and provide useful information on the data collected. Traditional healthcare devices are used during clinical testing and are not designed for real-time monitoring; health tech wearables allow the user to monitor data continuously. Wearable health tech is revolutionary in the management of wellness and chronic conditions. Tracking sleep patterns, physical activity, heart rate, and blood oxygen levels are subsets of data that transform how care is accessed and administered. The advancement of personalized care and proactive health management is the future focus of the healthcare industry, and wearable technology is at the forefront of this evolution. What’s a Healthcare Wearable? Similar to other consumer electronics, healthcare wearables are designed with the capability to gather and transmit health data. They contain sensors that capture health data in the form of physical or biological signals. Healthcare wearables can be smart watches, fitness trackers, smart textiles, medical patches, or other monitoring devices. They contain sensors and assistive technologies that aid the consumer in the management of their health. Healthcare wearables are designed to transform the monitoring of health from a reactive measure to a proactive one. They allow the user to monitor their health continuously even before symptoms or data concerning their health is alarming. Mechanism of Healthcare Wearables Wearables in healthcare incorporate sensors and frameworks for data storage and digital connectivity. Sensors collect data on a user’s physiology or their movements. This data is processed in the device and is frequently transferred to user connected apps. A wearable may capture the rate of an individual’s heart after a workout or capture patterns in the individual’s movements in a day. This data allows individuals to gain an understanding of their activity levels, behavioral patterns, and health. Incorporating advanced data analytics and artificial intelligence, healthcare wearables can identify patterns and offer tailored suggestions. Implications of these technologies make devices easier to manage and more effective for health in the long run. The Advantage of Healthcare Wearables Ongoing Health Assessment An advantage of healthcare wearables is the continuous health tracking. Traditional healthcare often requires scheduled appointments that occur at intervals; health data can be collected continuously with wearables. This continuous health assessment can signal the user of issues that can be harmful to their health in a timely manner. This is especially beneficial for individuals with healthcare concerns that require constant monitoring of specific health parameters. In healthcare, prevention is more effective than treatment. Monitoring specific body parameters can signal users to healthcare concerns sooner. Irregular heart activity, and even abnormal movement patterns, can indicate that a user should seek further assistance and be evaluated. This can prevent larger health concerns from occurring. Improved Management of Chronic Illnesses For people managing long-term health issues, healthcare technology that is wearable has the potential to bring significant improvement. These devices have the ability to collect important data and provide feedback that supports every day management of the condition. People managing a long-term health condition that is chronic can have a much better understanding of the implications of their health condition when they have access to the data in a timely manner. This data has the potential to impact their condition and provide great insight into the implications of their medication, daily activities, and the choices they make. Promoting Positive Health Behavior Changes Healthcare wearables can support the adoption of positive health behaviors by providing the ability to track physical activity, movement, sleep, and other factors that comprise one’s lifestyle. In addition, health technology wearables can have a significant impact by providing constant reminders that will maintain a health behavior and track progress. Wearable technology can enhance health goals by offering feedback on stress management, sleep health, and physical fitness. Book Your Free Marketing Consultation Most Common Healthcare Technology Wearables Fitness and Activity Trackers Healthcare technology wearables that have the ability to track activity, exercise, and movement are the most common devices that are wearable. They can track steps. These devices promote an active lifestyle and make the user aware of their daily habits and the effect on wellness. Smart Health Monitoring Devices Wearable technology that is smart and focuses on the monitoring of health has the ability to track a number of health indicators. These technology devices can monitor heart activity and body functions. These technology devices are great for people who need to have health monitoring frequently conducted. Smart Clothing and Medical Sensors Smart clothing is clothing that has woven sensors that can monitor movement, posture, and other health-related measurements. Medical sensors can be placed on the skin to gather a constant data set of health measures. These innovations are great for personalized healthcare and monitoring on the spot and at a distance. Importance of Health Wearables in Remote Patient Care The need for remote care services is continually growing, and health wearables are offering solutions by eliminating the need for health professionals to travel to their patients and increasing the value of the service. Remote monitoring of patients is particularly useful for senior citizens, patients recovering from a procedure, or patients with a chronic illness. The data is available in real time, allowing the provider to make informed clinical decisions. Ultimately, the patient is more comfortable, and the health care system is more productive. Challenges of Healthcare Wearables The services of health care wearables come with a price. Data Protection and Security The protection of data is crucial because the devices are collecting sensitive medical data. Security and protection of personal health data warrant the use of elaborate security measures. Accuracy of Data The measurement of data is only as good as the quality of the device and its sensors. Care should be taken to not rely solely on data collected by wearables, and a medical professional should
Healthcare Disaster Recovery: Importance, Strategies, and Best Practices To deliver patient care safely and effectively, healthcare organizations need various resources, such as technology, data, medical supplies, and communication systems. Natural disasters, cyber threats, equipment malfunctions, power outages, and system disruptions can pose threats to healthcare operations and to the safety of patients. Healthcare disaster recovery encompasses the mechanisms, systems, and protocols that are used to restore healthcare services and safeguard vital data in order to uphold the integrity of healthcare service delivery and to mitigate the impact of disruptions in the healthcare environment. Unlike standard business recovery plans, healthcare disaster recovery plans prioritize the safety of patients, the availability of medical data, and the uninterrupted delivery of healthcare services during critical situations. What Is Healthcare Disaster Recovery? Healthcare disaster recovery is a formal framework that enables healthcare providers to plan for, respond to, and recover from unanticipated incidents that disrupt normal day-to-day operations in a healthcare environment. Disaster recovery plans are especially important to: Protect patient safety Recover and preserve healthcare operational systems Restore medical data Facilitate healthcare emergency operations Ensure uninterrupted healthcare services Mitigate downtime by allowing healthcare providers to resume normal operations. Why Is Disaster Recovery Important in Healthcare? Healthcare systems operate and manage vital services and data where delays can have dire consequences. Recovery from a disaster protects patient safety because: Healthcare professionals have access to critical patient data, such as history, previous medical tests, treatments, and current and past medications, which enables them to make timely and informed decisions about patient care. Maintain Healthcare Operations It is not an option for hospitals and other healthcare facilities to completely cease operations during a disaster. This includes not just emergency departments and their operations, but also patient monitoring systems, communication systems and medical operations. Disaster recovery strategies are designed to reduce service disruptions and implement the strategy for the most critical services. Protect Sensitive Healthcare Data Healthcare providers keep a lot of confidential data. Patient records, medical reports and personal data need to be protected from loss and damage and protected from prying hands. Recovery plans ensure data is safeguarded and is able to be brought back if it is lost. Reduce Downtime System downtime, even for a minute, negatively impacts the efficiency of the healthcare system. Disaster recovery enables the system to be recovered and the negative consequences of the disruption to be minimized. Common Healthcare Disasters and Threats There are a number of disasters that could be experienced by a healthcare provider that could adversely affect their operations. Cybersecurity Incidents One of the biggest threats to a digital service is cyberattacks. In a digital healthcare system they are a service disruption and a data breach. The best recovery plan provides the system to be recovered and the data to be protected. Natural Disasters There are numerous natural disasters that could damage a healthcare provider’s infrastructure and adversely impact the delivery of their services. Disaster delivery of healthcare services and the protection of healthcare equipment must be planned. Power Failures Healthcare relies on electricity for all equipment, systems, communications and even lighting. To continue vital operations, backup plans and emergency procedures must be in place. Hardware and System Failures Healthcare services are interrupted by system and equipment communication failures. The impact of equipment failures is minimized by backup and recovery plans and maintenance plans. The Impact of Human Error Information can be lost, and systems and operations can be disrupted through human error. Although it is impossible to eliminate human error, the impact can be minimized through proper training and standard operating procedures. Essential Elements of Healthcare Disaster Recovery The successful execution of a healthcare disaster recovery plan consists of several key components outlined below. Risk Assessment This step centers around the identification of the potential threats and the disruption to the operations of healthcare that may be caused by each potential threat. Conducting risk assessment provides the following information to the organization: Critical systems and data Key recovery requirements Potential gaps Risk exposure Risk assessment helps the organization determine what issues the organization is willing to accept and what issues the organization is not willing to accept. Data Backup and Recovery Backup of data is one of the key components of effective recovery from a disaster. Data security on a backup results in data being available for recovery after a disaster. Backup of data can be accomplished through a: Data backup plan Data backup security plan Data backup recovery and restoration plan Data backup and restoration plans ensure that data, especially critical and sensitive data, is not lost. Emergency Response Plan An emergency response plan outlines the procedures to be followed in the event an emergency occurs. An emergency response plan contains the following: Emergency procedures Responsibilities of personnel Emergency contacts Recovery steps Emergency communication and information procedures System Recovery Procedures Restoration of critical systems requires the procedures to be documented. System recovery procedures may include the following: Recovery of communications systems Recovery and restoration of digital records Restoration and recovery of applications Recovery and restoration of the functionality of systems Recovery and restoration of systems and services minimizes disruptions caused by emergencies. Communication Planning A disaster recovery plan must have a backup plan for communication because effective communication is necessary to provide healthcare to staff and to inform patients and provide vital accurate information to emergency response personnel. Staff Training and Preparedness The right technology is essential, but it isn’t the only thing needed for a successful recovery. Employees in the healthcare profession must also be trained in what their roles are in the case of an emergency. Consistent training: Enables employees to act in an appropriate time frame Allows employees to carry out the recovery process Ensures employees uphold the integrity of the patient’s information Assists employees in carrying out the necessary functions of the emergency Book Your Free Marketing Consultation Healthcare Disaster Recovery Best Practices There are a few best practices that can increase disaster preparedness in healthcare. Recovery Plans are
What Is Connected Care? A Complete Guide to the Future of Integrated Healthcare The evolution of technology is pushing the boundaries of healthcare by making it more convenient, individualized, and digitized. One of the distinct features of this paradigm shift is connected care, a method that integrates patients, healthcare providers, medical apparatus, and health information systems. Connected care promotes the active, safe, and unbounded sharing of health information and the provision of support beyond the traditional hälsocentralen or hospital visit. Connected care provides patients the support, guidance, and supervision they need no matter where they are. The combination of remote monitoring, data sharing, integrated digital technologies, and patient-centered care allows connected care to build a system that is more efficient, individualized, and proactive. Understanding Connected Care Connected care is the digitization of the different, previously disparate components of the healthcare system. It enables the secure digital exchange and coordination of care for patients, doctors, nurses, and caregivers via healthcare systems. Connected care resolves all the problems and enables the system and healthcare providers to be truly proactive by facilitating the constant, real time sharing of health information. The connected care system of healthcare providers is able to assess the health of patients, analyze medical data, and offer recommendations without the need for a face to face consultation. For example, a patient with a chronic illness may use a measuring device that is part of a connected health system. The data is accessible to the patient’s doctor, who can monitor the doctor and offer help when the doctor notices a change. How Does Connected Care Work? Combining multiple components of digital health care and telecommunications systems makes connected care possible. The steps are typically: Data Collection Health data can be obtained from: Health devices that are worn Smart medical devices Mobile health apps Electronic health records Remote monitoring systems These various tools can capture data such as levels of activity, vital signs, medication schedules, and trending health data. Data Sharing Health care data can only be shared with authorized personnel within a secure environment. This helps doctors and care teams gain a more complete picture of the current state of a patient. In addition to the data obtained during health care encounters, health care teams can now access a patient’s real-time health data. Analysis and Decision-Making Data can be assessed to identify trends, and define the best course of treatment. Sophisticated digital systems can even identify evolving threats to a patient’s health and signal the need for critical intervention. Continuous Support Connected care makes it possible to maintain an open line of communication with a patient, and, as necessary, reinforce health care management through ongoing coaching and supportive check-ins that don’t require a trip to a health care facility. Key Technologies Behind Connected Care Connected care builds a networked health care system on a variety of foundational technologies. Internet of Things (IoT) in Healthcare In health care, the Internet of Things refers to the use of digital telecommunications to connect medical devices and health care tools. Examples include: Smart monitoring devices Connected medical equipment Wearable health trackers Remote patient monitoring tools Healthcare professionals understand patient conditions better through tools that collect information in real time. Electronic Health Records Electronic health records are a modern and organized way to keep and look up patient information. They may include: Medical history Previous treatments Test results Medication details Allergies Health Reports Healthcare professionals have faster means to coordinate care and close communications gaps through connected health systems. Telehealth and Virtual Care Telehealth is a way for patients to conduct remote communications with healthcare professionals, and it may include: Remote visits Follow up appointments Health check ins Health and medical advice Virtual care is especially useful to those who have challenges with making the visit to a healthcare facility, or to those who need regular health check ins. Artificial Intelligence and Data Analytics Health information systems enhanced with artificial intelligence and data analytics help to sift through the large volumes of health information to identify information that may be of value. These systems may be used for: Identifying risk earlier Planning interventions Monitoring patients Making health care decisions These systems act as information management aids. Benefits of Connected Care There are many benefits to connected care for patients, healthcare professionals, and the healthcare system. Improved Patient Experience Connected care leads to more patient centered and accessible health care. Patients are empowered to communicate with health care professionals, receive reminders, and manage their health information. Healthcare professionals are in a better position to guide and support patients, which enables patients to avoid reaching a point of a health crisis and needing more intensive care. Better Disease Management Connected care is very effective for the management of health conditions that are chronic in nature. Healthcare professionals can adjust care as needed based on the information readily available through regular monitoring. This can help: Achieve better outcomes after treatments Minimize health complications Help people make positive health choices Improve engagement Accelerate Healthcare Choices Healthcare providers can make better choices more quickly when they have the most current information about the patient. Real-time data helps find critical problems and helps support the most important response. Less Healthcare Strain Connected care helps prevent hospital visits and helps make the best use of available resources. Using remote care and virtual visits helps reach and care for more people and helps relieve some of the burden on healthcare facilities. Focused Healthcare Every person has different healthcare needs, and connected care helps create different pathways to care. More focused choices of treatment can be made by considering a patient’s specific condition and their lifestyle and health habits. Book Your Free Marketing Consultation How is Connected Care Used in Healthcare? There are many uses of connected care in different areas of healthcare. Remote Care People are able to use connected devices to monitor their health at home. Healthcare teams are able to view the data and offer support. Smart Systems for Medications
Chain Reaction in Healthcare: How Connected Events Influence Patient Care and Health Systems Chain reactions in healthcare signify that interconnectedness is part of the system’s design. These reactions can consist of a single change event or decision that mobilizes a multitude of effects. These effects can be felt systemically across spaces like the patient, the healthcare professional, the institution, and the healthcare environment. Some chain reactions can even be felt economically like the complication of a patient’s condition and the subsequent increase in a patient’s care. Knowledge about these chain reactions makes working in healthcare much safer and more efficient. Understanding Chain Reactions in Healthcare Chain reactions can be in the form of single connected events that stimulate or change a healthcare condition, clinical decision, administrative process, and even a public health event. An example of a chain reaction in healthcare can be the detection of a condition during a preventative health screening. In this instance, the chain of events is positive, because the condition is in a less severe stage prompting less advanced and, consequently, resource intensive interventions. The opposite can also be true. If a patient’s condition worsens during the process, more severe interventions and a longer recovery will be required. These patterns, reactions, and connections are studied by healthcare professionals to identify risks and generate systems which promote beneficial and positive outcomes. Examples of Positive Chain Reactions in Healthcare One of the most salient examples of beneficial chain reactions in the healthcare system is the early identification of a condition. Benefits of Early Detection of Health Issues Some of the benefits of early detection of health issues are: Faster treatment Lower chances of complications Faster recovery Less treatment expense Better health The benefit of having easier access to health care really goes beyond the visit. Improved Patient Education When people become educated about their personal health care, and how to take their medicine, and about healthy living and preventive care, the likelihood that they will make healthier choices will all be increased. Increased awareness of health care leads to: Better medicine adherence Fewer health issues Reduced need for emergency health care Improved health care management Patient participation in the management of their injury or illness is the goal of health education. Health Care Technology One positive thing that modern technology has aided health care with is improved access to health care information and improved communication. For instance, digital health records allow health care providers to access updated records of patients. Quickly able to access information aids the health care provider in making accurate assessments and helps in the coordination of the health care team. Changing health care technology for the better aids with early detection of patient health care needs in the timely provision of health care. Negative Sequences of Health Care Delayed Medical Attention Improvements of health care systems are needed to break the negative sequences in health care. For instance, the delayed need for health care has a negative sequence of complicated health issues for the patient. A common example of this sequence and its effects is: having a minor health issue, delaying treatment, resulting in having a major health issue that requires complicated treatment with an extended recovery period. This negative sequence affects the patient physically and financially. Medication Errors Medication-related issues can have adverse effects. Reduction in the effectiveness of treatment, unwanted effects, and the need for additional visits and prolonged recovery are potential consequences of: Incorrect dosage Missed instructions Communication errors These effects can be avoided through proper monitoring and effective communication. Healthcare Staff Workload Exceeding workload among healthcare professionals can disrupt the order of the entire healthcare environment. An unmanageable workload can result in: More stress Less focus leading to more errors Lower quality interactions with patients The impact of unmanageable workload can be avoided through balancing staff and an effective workflow. Chain Reaction Between Patient and Healthcare System Interconnectedness of the patient and the healthcare system reveals the reliance of each on the other. For example: A patient follows preventive health advice leading to fewer severe health problems which results in fewer emergency visits and allows the healthcare system to focus on other critical cases. Poor health awareness leads to a higher risk of disease, higher demands of healthcare services, and overburdened healthcare facilities. The interconnectedness of the patient and healthcare system reveals that prevention, education, and early intervention are needed in the current healthcare systems. Book Your Free Marketing Consultation The Role of Data in Healthcare Chain Reactions Data assist understanding healthcare chain reactions. The healthcare system collects a variety of data and information for the purpose of identifying trends and predicting risk. Even more, the earlier the warning sign can be predicted, the greater the potential for the health issue to be avoided. Benefits of Data-Driven Healthcare Healthcare data offers enhanced: Speed of analysis Precision of treatments Maximized resource allocation Preventative care initiatives Chain Reaction in Public Health Negative chains can affect public health. One concern can simultaneously affect various regions or an entire system. Consider the scenario of a contagious disease breaking out: Somebody is infected → many become infected → overwhelming demand on healthcare → a shortage of supplies → the establishment of a quarantine. Public health is then concerned with breaking negative chains and stimulating the demand for behavior in a protective fashion. Protective behavior such as vaccination, the establishment of hygiene standards, the promotion of early diagnosis and testing, and health education, can provide a protective framework for a community. How Smart Healthcare Creates Positive Chain Reactions? Chain reaction design is based on positive feedback. Fast, accurate, and effective communication in healthcare enables and facilitates positive feedback. Smart healthcare encompasses: Ongoing observation of patients Alerting of staff for problematic changes Improved communication and decreased bureaucracy Facilitation of planning and implementation of individualized care Connected monitoring systems can identify problematic changes in a timely manner and staff can avoid the change while meeting and exceeding the standard of care for recovery. Importance of
What Is a Smart Hospital? Smart hospitals enhance the patient experience by employing different technologies. They incorporate the Internet of Things, Artificial Intelligence, electronic medical records, smart sensors, robotics, and more. They utilize integrated technologies, automated systems, and real-time data to streamline hospital operations. The technology in a smart hospital is not meant to satisfy the need for an updated version of the traditional tools that existed before. Smart hospitals exchange the tools of healthcare in the traditional sense for those of a connected one. Their purpose is to enable the seamless exchange of information among patients, healthcare employees, and even the different devices and divisions of a hospital. An example of the technology that a smart hospital uses is a smart patient monitoring system. A smart patient monitoring system tracks vital signs in real-time and conveys the information to the medical team so they can respond. In addition to more optimal utilization of healthcare resources, smart hospitals also help accelerate the administration process, enhance the safety of patients, and elevate the overall quality of the healthcare experience. How Does a Smart Hospital Work? Within a smart hospital, all the different medical devices and the different divisions and systems of healthcare are all digitally interconnected to a safe network. Information and data from patient care and the different services and divisions of a hospital can be easily accessed and stored by authenticated healthcare employees. When a patient arrives at a smart hospital, they need to be digitally registered. After they are registered, healthcare employees can access the patient’s information and even the patient’s medical history, prescribed medications and orders, and even the patient’s scheduled services and interventions. In some instances, patient data is gathered on a constant basis by connected devices. If an anomaly is detected, and for example, a patient’s oxygen takes a sharp decline, an alert can be sent to the corresponding medical staff. Inappropriate uses of automation may include, but are not limited to, scheduling appointments, managing inventory, tracking medication, assigning rooms, managing billing, and facilitating communication among staff. The integration of the aforementioned processes allows smart hospitals to eliminate bottlenecks and give healthcare staff an opportunity to focus on the actual care of the patient. Main Technologies Used in Smart Hospitals There are a myriad of technologies that ensure the reliable operation of smart hospitals. Internet of Things The Internet of Things (IoT) encompasses devices that can gather data and transmit and/or receive data over a network. In a hospital setting, these devices can range from patient monitors to sensors, smart beds, infusion pumps, and all medical devices. Being connected enables these devices to furnish data in real-time and relieve the medical team of the tedious task of monitoring patients by checking every reading. Artificial Intelligence AI has the power to analyze copious amounts of medical and operational data. As a result, AI has the potential to assist the medical team in multiple tasks such as finding patterns in data, organizing patient data, determining the level of urgency for cases, and recognizing possible threats. AI is neither a replacement nor a substitute for a doctor or a nurse. AI is a value-adding tool for the medical team and an aid to ensure precise and timely decisions are made. The shift from paper to electronic files has an impact on how people access information. It has advantages when considering lost documents, illegible writing, and paperwork redundancy. Smart Patient Monitoring Smart monitoring systems keep track of critical health metrics. These can include heart rate, blood pressure, blood glucose, breathing rate, and levels of oxygen and body temperature. This data can either be displayed on a monitoring screen or be sent directly to health professionals. Readings that are deemed unsafe can trigger alerts. Robotics and Automation There are multiple types of robotic and automated systems that can facilitate various functions throughout a hospital or medical facility. These can assist with transporting supplies, disinfecting a room, sorting and organizing medications, delivering items between various departments, and even help with certain medical procedures. Robots and automation can significantly ease the burden of multiple redundant administrative functions, and as a result, allow hospital staff to spend more time dedicated to interacting with patients. Telemedicine Telemedicine utilizes a secure digital platform to facilitate communication between patients and healthcare professionals at a remote distance. This can be implemented for typical routine consultations, treatment reviews, and other non-emergency procedures and monitoring. Remote healthcare can be especially advantageous for patients who live a great distance away from medical care facilities or have traveling difficulties to access them. The Unique Characteristics of a Smart Hospital A smart hospital integrates multiple digital systems and advanced technologies to improve both patient care and hospital operations. Smart beds can monitor patient movement, pressure, and sleeping position. They can also be equipped with alert systems that notify healthcare staff if a patient attempts to leave the bed without assistance, helping prevent falls. Digital check-in systems reduce waiting times and simplify the patient registration process. Automated systems can also send appointment reminders, provide navigation within the hospital, share test instructions, and notify patients about their discharge. Indoor tracking systems enable healthcare staff to quickly locate essential medical equipment, supplies, and personnel. This significantly reduces the time spent searching for devices and improves operational efficiency. Advanced energy management systems use intelligent controls for lighting, HVAC, and electrical systems. These systems maintain a comfortable hospital environment while minimizing energy consumption and operating costs. Digital pharmacy systems enhance medication inventory management, reduce medication errors, monitor expiration dates, and streamline prescription dispensing and refill scheduling. Advantages of Smart Hospitals One of the greatest benefits of smart hospitals is enhanced patient safety. Continuous monitoring allows healthcare providers to detect changes in a patient’s condition earlier, enabling faster intervention. Smart hospital networks provide healthcare professionals with instant access to clinically relevant patient data across departments. This is far more efficient than simply retrieving medical records, allowing for faster and better-informed clinical decisions. Smart hospital technologies also reduce
EMR Cloud Migration: Benefits, Process, Challenges, and Best Practices Electronic medical record systems keep track of patient histories, diagnoses, prescriptions, test results, and billing. Traditionally, healthcare organisations have kept electronic medical records on local servers. Many concerns, including cybersecurity, have prompted further interest in EMR cloud migration. EMR cloud migration is the transfer of cloud-based electronic medical record applications, databases, and associated services from local infrastructures to the cloud. This process involves much more than the technical transfer of data. Some of the main areas that need to be considered and monitored after the migration process include data protection during the migration process, thorough testing and analysis of the workflows and staff training on the system, and the migration should be done in phases. What Is EMR Cloud Migration? EMR cloud Migration refers to the transfer of hosted electronic medical records from local servers to cloud infrastructures.The migration process may include the transfer of a number of electronic medical records, including but not limited to: patient demographics, histories and progress notes, lab reports and images, medications and allergies, appointments and logs, insurances and billing records, users and their permissions, clinical templates and forms, and clinical workflows and integrations with other external systems in health care, as well as all other archived records and documents. Electronic medical record systems can be locally or cloud hosted. Cloud hosted systems are those that are hosted over the internet. Why Are Healthcare Organisations Moving EMRs to the Cloud? Healthcare organisations need systems that provide secure access, support growing data and seamless interoperability, and ensure active business continuity. Self-hosted systems can require a large capital investment into servers and storage, as well as security and maintenance staff, and ongoing software and security updates. Cloud migration offers a solution to old hardware by flexibly enabling clinical operations. Easily Scalable Healthcare data storage needs grow with each new patient and each new report, image, prescription, and clinical note. Cloud infrastructure is easily expandable, allowing storage and processing needs to grow without the need to purchase new physical servers. Remote and Secure Cloud-based EMR systems allow secure access of authorized personnel from selected locations and devices. It supports clinical personnel that work in multiple locations, remote personnel, and authorized access during a critical situation. Remote access is only useful when supported by strong character authentication, access controls, data encryption, and a constant evaluation of systems. Improved Business Continuity Local systems can be damaged by degraded or failing hardware, fire, flooding, power loss, cyber systems attack, and damage by personnel and still become unavailable. A properly built cloud environment provides less risk for system backup and business continuity. Even though the risk is mitigated, the organization is still responsible for ensuring that backup systems function, and data is available and uncorrupted. Book Your Free Marketing Consultation Key Steps to EMR Cloud Migration A planned and structured migration process improves the likelihood of uninterrupted and secured records with minimal downtime and disruption of your normal workflow. Assess the Existing Environment Establishing a baseline inventory for the systems, data, and accounts, as well as the infrastructure and user access and service storage, is the first step. These details help assess: The nature and quantity of data What records are incomplete or duplicated Security vulnerabilities What laboratory and billing systems are in use Requirements for Internet and other networks What records are required by retention schedules What current backup processes are in place What important clinical workflows are in place This assessment helps the initial planning for migration. Define Migration Goals Healthcare entities have a variety of migration goals. Improved remote access, reduced hardware expenditures, improved resiliency and speed of the system, and the ability to accommodate the growth of the organization are a few of the migration goals. Migration goals also help assess the migration’s success. Develop a Data Migration Plan Not all files should be moved. This may include files that are old, duplicated, corrupted, or not useful, as these may strain the storage and the manageability of the new system.Data should be scrubs, reorganized, and categorized and data should be placed in a structure prior to the migration. During all of these activities, the quality of clinical data must be preserved. Plan Security and Compliance Given that medical records contain sensitive data that must remain private, the protection of data must be incorporated in each of the phases of migration. Cloud security planning must consider these aspects: Encryption during transfer and storage Multi-factor authentication Role-based access control Audit logs Secure backup systems Continuous threat monitoring Incident response procedures Data retention and deletion rules Employee security training Regular vulnerability assessments Cloud services must still address the threats and vulnerabilities to the security of electronic health information in health care organizations. Test Before Full Migration All records should not be migrated before one small pilot migration is done. This migration helps flag errors for inconsistent formats, slow integration, missing fields, access issues, and workflow interference. Testing should confirm the following: Completeness of patient records Correct dates and codes Validating that attachments open User permissions Accuracy of reports Integrated systems Restoration of backups Integrated systems Migration meets the operational performance All errors should be rectified before proceeding to the full migration. Train Employees A technically correct migration can still “fail” if employees are not versed in the new system. Different employees from the clinics, nursing, and administration may require different training. Training should include access to system logs, privacy and security procedures, and how to report issues during system downtime. Training employees using a “live” system with clear guides will reduce “surprises” after the system launch. Complete the Migration The full migration should be done when it will have the least impact. A phased approach is to migrate one department at a time or one data set at a time. An alternative is to set the migration date and time, after which all systems are switched over. There should be procedures for managing temporary service disruptions to ensure that staff
EPR Software (Electronic Patient Record): Features, Benefits, and Importance in Modern Healthcare EPR software, or Electronic Patient Records software, is a health record management system that allows healthcare workers to keep track of patients’ health records digitally. Unlike conventional patient health records that are stored on paper and are dispersed, EPR software creates a centralized system on which healthcare workers can capture and access patient health records at any time. EPR systems can document a multitude of patient information from identification to health evaluation and diagnosis, treatment and medication history, to laboratory records. With EPR software, health workers are able to provide comprehensive care to their patients in a timely manner. What is EPR Software? EPR software is a health records management system that allows the creation of a digital patient record system. The patient record system can be created and updated by healthcare workers (e.g. doctors, pharmacists, nurses, and administrative staff) at any time during the patient’s treatment. In comparison to patient health records that are stored on paper, electronic patient records can be updated and searched for in an authorized health care setting. This also mitigates the amount of time a health care worker spends searching for a document and minimizes the risk of patient information being misplaced or incorrectly recorded. The most important function of an EPR system is to make certain that healthcare workers can access patient information when it is needed to make a clinical decision. A comprehensive electronic patient record can also provide medical staff with health evaluation histories and health risk assessments. Key Features of EPR Software Patient Information Management EPR software provides the capability to capture and store patient personal information. When patient information changes, such as their contact information or emergency contact/s, staff are able to update electronic patient records. Medical History Documentation Healthcare workers record patient’s past illnesses, operations, hospital visits, chronic illnesses, and current problems. It also includes family history of illnesses. This helps clinicians assess the patient’s health status. Clinical Notes Consultation notes, symptoms, and observations with their respective diagnosis, orders, and treatment can be directly documented in the patient record by doctors and nurses. The use of structured templates improves the clinical documentation consistency. Medication and Prescription Management An EPR system documents all the past and present medications in the system. It can also show documented allergies, indicated dosages, prescribed dates, and flagged drug interactions. Having proper documented medication helps decrease prescribing errors, and proves safer treatment options. Laboratory and Diagnostic Results Diagnostic tests and their results, and lab and imaging records can be part of the electronic patient record. Unlike the previous system, the clinician can now find all the test results, both past and present, in one place. Appointment and Scheduling Support Most EPR systems come with scheduling modules. This allows the administrative team to manage patient appointments, cancellations, follow-ups, and the availability of clinicians. Automation of some tasks can help minimize no shows. Billing and Administrative Records EPR software may deal with services billing and invoicing, insurance documentation and tracking, payment processing, and clinical service coding. Having all clinical and administrative services connected in one system will help improve operational efficiency by reducing tasks requiring repeated data entry. Access Control and Security EPR systems use role-based access control to decide which users are permitted to view or edit specific data. For instance, clinical doctors have access to clinical data, whereas employees in admin have access to data on appointments and billing. Audit logs can record who viewed a given patient record, what data they modified, and the timestamps of all recorded actions. Book Your Free Marketing Consultation Benefits of EPR Software Improved Access to Patient Data EPR systems provide the ability to rapidly access patient data by authorized members of the health care team. Ready access to patient data is critical in the case of emergencies, follow up visits, or when making complex treatment decisions. Better Coordination Among Healthcare Staff A patient may be treated by a number of different health care providers. EPR systems facilitate the development of a shared database to aid the coordination of treatment by doctors, nurses, and even clinical pharmacists. When a staff member views the most currently updated record, the likelihood of communication errors and unnecessary repeats of a procedure is greatly reduced. Less Paperwork Compared to a paper-based system, EPR systems greatly decrease the amount of space necessary to store records and decrease the time necessary to complete and manage documentation. Challenges of Implementing EPR Software Implementing EPR software is a long, difficult, and complex process, despite the advantages of EPRs. Healthcare services need to select an EPR system that aligns with their patient volumes, clinical services, security requirements, and workflow. Important barriers to implementing an EPR system include training staff to properly input data, maintaining their privacy, controlling access, and resolving issues. Additionally, converting data from older or paper based systems can be a challenge. Data is often painstakingly reviewed to ensure there are no missing records, multiple copies, or inaccurate entries. Cybersecurity has become more important with the digitization of patient health information. Protecting patient information from loss or unauthorized access is imperative. Malicious software also leads to data loss and damage to infrastructure. Patient health data can be better protected through the use of complex passwords, encryption, access control, data backups, system updates, and training of staff. Choosing the Right EPR System An appropriate EPR System should be user friendly, protect data, and be adaptable to the needs of the organization. Healthcare providers should evaluate the EPR systems based on their clinical documentation, their reporting and appointment scheduling, data access and control, integration, and the support they will need. The EPR system should be infrastructure expandable. The healthcare organization may need additional users, sites, departments, and/or services. Organizations should assess the EPR system based on actual work flow. This includes the staff and healthcare professionals who will be the actual users of the system. The Future of EPR Systems EPR technology will
MLOps in Healthcare: Benefits, Challenges, and Best Practices The application of machine learning in healthcare has gained traction for its benefits in diagnosing and managing risk, organizing clinical data, improving the efficiency of the hospital, and tailoring treatment options. However, building the right model is just the first step. Healthcare institutions are also responsible for the implementation, monitoring, maintenance, protection, and control of the model for the duration of its operational life. Machine Learning Operations (MLOps) are the frameworks and methods used to manage the model lifecycle. It integrates and builds upon clinical knowledge, data science, and several disciplines of IT, to keep healthcare machine learning systems safe and reliable. What Are MLOps in Healthcare? The term MLOps describes the application of a set of software and engineering operations to the machine learning workflow. In the case of healthcare, MLOps also includes the fairness of the model, the validation of the clinical process, justification of the model, and the regulations of the healthcare industry. A model may be correct at the development stage, but may fail to be correct with a different set of patients, different equipment, different clinical procedures, and different data. Therefore, healthcare MLOps is concerned with the complete lifecycle of the model, whereas other industries may consider the deployment of the model as the final step. This is especially important for machine learning systems embedded in medical devices, or clinical decision support systems, because of the inherent risks involved with the model and the need to control model performance and the risks of frequent updates. Why Is MLOps Important in Healthcare? Healthcare systems are especially dynamic. Changes in patients, diseases, and clinical systems are common. Likewise, the tools used in healthcare and the methods of data collection and recording may undergo frequent and radical changes. MLOps prevents multiple issues by ensuring models can be monitored after deployment. Without MLOps, models can provide healthcare predictions without considering the performance of the model. This can lead to missed risks as the model fails to identify them and alerts that do not provide useful information. Using MLOps provides healthcare teams the ability to: Ensure models are consistent Recognize changes in the data and predictions Control updates to the models Safeguard the privacy of patients Keep track of the development and the deployment of the models Enhance teamwork between the technical staff and the healthcare staff Improve response time when a system has malfunctioned Ease the burden of audits and compliance MLOps and responsible AI have one critical concern in common: the continuous evaluation and monitoring of a system. The risks of using a system can be identified at any time. The Healthcare MLOps Lifecycle Data Collection and Preparation Healthcare model data can be sourced in a multitude of ways, from electronic health records to administrative data. There are multiple ways data can be collected to be used to develop a model. Data must be evaluated for a number of reasons before model construction can be initiated. At a minimum, the data must be evaluated for accuracy, completeness, consistency, and relevancy. Poor data can lead to unreliable results from the model. Data must also be evaluated to ensure that it accurately reflects the population being targeted. If the data used to construct a healthcare model is limited due to the population, then the results from the model will likely be limited as well. Model Development and Validation During the development of a model, multiple things must be considered, such as the selection of the appropriate algorithm and the evaluation of the model. In healthcare, simply accuracy is not going to be enough. Validation should encompass the following: Tests should incorporate: Sensitivity and specificity Rate of false-positive and false-negative Performance across the broad patient population Functionality Consistency across varying conditions Interpretability Patient safety risk Clinical specialists should determine whether the outputs generated by the model are meaningful and appropriate for the specified healthcare workflow. The performance of the integrated human AI System should also be considered. Controlled Model Deployment Once the model has been validated, it is incorporated into healthcare software and/or clinical workflows. This may also include integration with electronic patient record systems, clinical decision support systems, diagnostic and monitoring systems, and/or clinical dashboards. A stepwise approach to deployment is preferable to an instantaneous full-scale deployment across the organization. It is common practice for the model to be used in an initial deployment to an ‘isolated’ environment where the outputs are generated and assessed, but are not used to impact clinical care directly. Deployment should incorporate standard approval processes for deployment, the ability to retract the deployment, controlled access with accountability, documented procedures and instructions, and clearly defined roles and responsibilities. Ongoing Performance Evaluation Once a model has been deployed in a healthcare setting, the model should be routinely assessed. This may involve: Changes in the data being used Deterioration in prediction quality Unpredictable outputs Increased error outputs Differences in performance of the model based on the patient population Prediction delays System malfunction Attempts to breach the system Technical performance of the model should be evaluated alongside clinical outcomes. It is possible a model continues to function from a technical standpoint, but outputs are no longer clinically valuable. Model Update and Retraining A model may need an update and retraining if data are added and/or its performance no longer matches the required standard. It should be noted, however, that retraining a model too readily and/or without appropriate controls may increase potential risks of the model. Before any updated model version can completely replace the existing version, it must go through the validation, fairness testing, security checks, and clinical reviews. Older Version models must remain so that teams can analyze incidents and restore the model if needed. Update policies must define what type of changes can be made, how those changes will be validated, and how the effects of those changes will be monitored. Data Privacy and Security Healthcare data is extremely sensitive. MLOps systems can work with data that contains
AI Lifecycle in Healthcare: From Planning to Continuous Monitoring AI application spans many areas including medical imaging, patient monitoring, clinical documentation, risk assessment, treatment, and administrative tasks. Developing an AI application for healthcare goes beyond training an algorithm and deploying it in the hospitals. Healthcare decisions have implications on patient safety, privacy, and accessibility, as well as care-related outcomes. Thus, every AI application must be governed from conception to its decommissioning. The AI lifecycle in healthcare outlines the governance process for the responsible design, development, validation, deployment, oversight, maintenance, and discontinuation of AI systems in healthcare. What Is the AI Lifecycle in Healthcare? The AI lifecycle refers to the entire governance process of the design, development, and deployment of AI systems, as well as their ongoing maintenance and eventual discontinuation. The AI systems lifecycle differs from conventional software systems because AI systems learn from data. Therefore, the systems will function in unpredictable ways as the population of the patients served, the data, the medical practice, or the equipment used in the hospital changes. A system that frequently delivers optimal results during its development phase may, in the course of time, perform sub-optimally in another hospital. Lifecycle management makes it possible for an organization to identify risks early, evaluate the system’s performance prior to deployment, and monitor the system in practice to assess and manage any changes. Identifying the Healthcare Problem The governance lifecycle commences with the precise identification of the clinical or operational problem to be solved. The development teams should answer the following questions: what healthcare problem are they intending to solve; what will the AI system users’ roles be; which patients stand to be impacted by the system; and what are the key performance indicators that will define the success of the system. Use cases may be leveling the risk of health deterioration amongst patients, decreasing the prevalence of missed patient appointments, prioritization of time-sensitive x-ray scans, or making clinical documentation less tedious. Health-related problems should be clear, focused, and meaningful in the clinical setting. As a rule, AI should be considered only if there are no other simpler, more efficient, and effective clinical solutions. Establishing Governance Governance involves assigning responsibilities and making decisions regarding control mechanisms for safety throughout the lifecycle. The organization must include the system’s purpose and acceptable use, the role of human oversight, privacy, and performance and reporting requirements, along with the procedures for reporting and approving updates. Good governance removes ambiguity regarding responsibility and aligns the development of AI with clinical safety and quality, along with cybersecurity and data protection. Collecting and Preparing Data AI in healthcare relies on managed data that is relevant and accurate. When data is to be used, the team must consider consent, confidentiality, and ownership, as well as access control and data protection retention and transfer. Preparation may include duplication removal, format and information centrality correction, standardization of terminology and unnecessary identifiers, and labeling of clinical events. Data of poor quality produces poor results. In addition, the team must confirm that the data sets represent the intended population with regard to age, gender, ethnicity, condition, where data was collected, and the equipment and the care environment. Developing the AI Model The AI Model is developed by a specialized team. Suggested algorithms and methods are used to train the model to recognize patterns and predictions. Data is taught to the model through training. Validation and test data evaluate adjustments and the final performance, respectively. Leakage of data must be avoided. The model is a programmed construct of elements, such as data sources and descriptions of the criteria for inclusion, as well as the design and type of the model, along with the assumptions, limitations, and potential for failure. Trade-offs between reliability and safety, speed, cost, and compatibility with legacy systems must also be made. Book Your Free Marketing Consultation Validating Performance The model must be able to generalize beyond the training data. Technical validation of a model may assess, among other things, the time taken to process a request, along with accuracy, sensitivity, specificity, precision, and the rates for false positives and false negatives. Clinical validation determines if a system has realistic value. Testing must consider various patient demographics, the impact of the system on the clinical workflows, comprehension of the system among clinical staff, system reliability, and the potential harm caused by erroneous results. External validation is important because it tests the model on data from a different hospital, population, location, or device. Ethics and Regulation AI in healthcare may fall under medical devices, privacy, cybersecurity, data protection, and healthcare regulations. Appointment scheduling software typically falls under fewer regulations than AI that prescribes treatments or identifies severe medical conditions. From an ethical viewpoint, the most relevant would be the assessment of autonomy, justice, beneficence, and non-maleficience. Patients and care providers should know what the system does, how its outputs are to be interpreted, and the circumstances where human judgement will override the system. Workflow Integration of AI A precise AI system can still fail if it is not usable within a clinical workflow. Controlled pilots should be used to reveal issues within workflows and the system, along with new and unanticipated risks. AI systems should be used within clearly defined boundaries. There should be unambiguous human responsibility for the implications of AI on clinical decisions and patient care. Real-World Performance Evaluation Evaluation of AI in healthcare should look at accuracy, missed cases, false alarms, response times, failures, overrides, user feedback and complaints, and impact on patients differentiated by groups. AI performance should be continually monitored because of the impact of new data, changed clinical practices, new or updated equipment, altered patient populations, and changed data-entry methods on original performance. System Updates AI systems might need updates if the system is found to work incorrectly, if the system needs to become more accurate, to reduce security threats, or to support additional patient types. If changes are made to the data, code, thresholds, interfaces, or model behavior, those
