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EHR built-in Telemedicine Platform health

When using EHR software, doctors expect ease of use and efficiency. This is where the need for data interoperability arises. If doctors cannot automatically access and store patient information in one system, the number of manual tasks will increase enormously. Every time they have to add patient data manually, they waste a lot of time and risk losing important information.

To solve this problem, software providers are creating solutions that combine the capabilities of remote healthcare services with electronic health management. They can migrate existing telehealth platforms or offer additional versions of the EHR. This optimizes the work of healthcare professionals and allows patients to avoid repeating their medical history when they contact a doctor remotely.

Telehealth IoMT and portable devices
IoT solutions and portable devices are some of the most prominent trends in the field of telemedicine. Healthcare providers are investing in software that connects for patients and doctors through physical devices. The global Internet of Things (IoMT) market is expected to cross the mark of 285.5 US billion in the year 2029.

IoMT tools allow doctors to monitor patients as they talk or do something else at home. Ultra-modern beds, ECGs, and ECG monitors have been enabled to exchange information with telemedicine applications via the Internet. It increases patient mobility, reduces the burden on offline healthcare facilities, and allows doctors to monitor people’s health. IoMT telemedicine and portable devices can also remind patients to take medications, measure vital signs, set alerts, and perform a variety of other activities.

Big data and artificial intelligence
Although remote health solutions are quite effective in themselves, big data and artificial intelligence can add to them. Software that automatically collects, processes, and analyzes large amounts of data can make recommendations for the most appropriate treatment plans based on thousands of cases. The more data you collect and analyze with machine learning, the more specific the software’s recommendations will be. In addition to the patient’s personal information, physicians can take demographic and geographic data into account to ensure the best possible treatment. This technology also successfully addresses data privacy under data protection laws.

The big data collected from telehealth solutions are also valuable for global research. Researchers can use it to find out how age, social status, symptoms, and other characteristics affect the outcome of treatment. Later, these studies will help doctors around the world prescribe the most effective drugs and make informed treatment decisions.

Augmented reality for quality care
Combining telemedicine with augmented reality takes healthcare technology to the next level. Such solutions enable untrained people to provide quality care to patients and more accurate procedures for medical staff.

For example, when caregivers transport patients in transport, they may need medical equipment that requires special training. In this instance, AR can be life-saving and a trendsetter. Custom applications analyze patient data and provide real-time guidance on how to assist and use the device.

Tighter data security
Personal health cards are protected by HIPAA. Thus, each organization processing PHI must ensure limited access to data, encrypt information, pass cyber security checks, and implement a variety of other security measures.

Given that remote health solutions collect a lot of personal data, security will remain one of the leading trends in remote health in the current and coming year. Last year and the growing load of telemedicine software showed that many software providers were not ready to handle large amounts of personal data. They lacked proper security and were the victims of targeted cyber attacks.