Virtual healthcare has proven its value – now, it’s time to expand and improve upon that foundation. Credit: Getty Images Telehealth is a virtual healthcare delivery system, and it has become a permanent fixture in healthcare delivery accelerated by the pandemic. Now, healthcare leaders are looking to expand and improve their telehealth products. More than just telehealth The growth of telehealth has revolutionized the healthcare industry, allowing hospitals across the United States to take advantage of its benefits while also adopting it as their Hospital at Home technology. Hospital at Home is not a new concept, and it is the combination of in-home and virtual visits with remote monitoring replicating the inpatient hospital-level care in their homes. Many factors have aided in the shift in attitude and adoption of Hospital at Home, including: Technological advances of the telehealth solutionChanges in how patients consume healthcareCOVID-19 pandemic and CMS waivers Challenges remain with telehealth systems, but numerous opportunities exist. The solution you choose to buy or build will have a long-lasting impact. Here are things to consider for healthcare decision-makers. Standalone or EMR-centric system Telehealth works best when it replicates an in-clinic visit, and that can only happen when all of the patient’s clinical data is in one place and linked to the electronic medical record (EMR). This completes the picture of the patient and gives insight into a possible health trend by examining historical information. The historical data improves physicians’ ability to assess the patient’s condition over time, which is crucial for preventative and long-term care. The marketplace has a few standalone products that integrate well with the EMR, allowing the solution to act as the central platform. Standalone solutions that work well in the industry must include the following: Consistent application design on all devices (smartphone, tablet, desktop, web tv).System usability in a low-bandwidth environment.Multiple integration points with the EMR to have EMR-like functions in the system. The critical component for the success of standalone solutions is to integrate well and avoid any duplication of effort, such as entering the same information in multiple systems. The EMR-centric solution only has to focus on integrating with the video solution, which is most likely the same vendor as the company’s existing videoconferencing system. This tight integration allows a swift experience for physicians by conducting the remote visit while working in the patient record system. Examples of the integrated features include: Joining a video session embedded in the patient portal app.Clinician notification of the patient’s arrival in the virtual waiting room.Easily invite a clinical specialist to the virtual consult. All eyes on security Healthcare companies must be vigilant about how patient data is utilized and shared during telehealth sessions. The telehealth service Doxy.me, for example, has recently been exposed to a privacy issue that enables third-party businesses to see the names of some patients’ providers. The provider’s name was revealed when patients utilized the platform’s “virtual waiting room” service, which linked them with medical experts. Because the provider picks the name of their waiting area, which is frequently their own, or the name of their medical practice, this reveals their identity. There was no information about the patient’s health leaked in this incident. These events will continue to happen, providing an opportunity for healthcare providers to re-evaluate their vendors and risk appetite. Historically, telehealth solutions have been regarded as a standalone product vs. as a key strategic solution. Telehealth must be integrated into existing healthcare operations for it to work effectively. If you don’t incorporate it, your business will suffer. Related content opinion Generative AI in enterprises: LLM orchestration holds the key to success In the dynamic landscape of AI, LLMs represent a pivotal breakthrough. Unlike traditional AI, which demands frequent data updates, LLMs possess the ability to learn and adapt in real-time. 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