With the Covid-19 pandemic enforcing social distancing, innovation in remote patient care has become more critical than ever. Not surprisingly, major tech groups are investing in digital healthcare, focusing on remote patient monitoring.
The innovation in remote patient monitoring is good news for patients diagnosed with chronic diseases like heart disease and diabetes.
Enhanced monitoring with the help of artificial intelligence-backed data can help professionals control the extent of damage with timely medical intervention.
Additionally, cloud computing technologies and accurate electronic health records systems help build a robust network for remote patient monitoring.
Most hospitals rely on manual checks to check the patient’s condition every four to six hours. There are prolonged periods in which the deterioration of the patient’s condition may go unnoticed.
Health professionals do not always get the latest information about patients. Things get even more complicated when nursing staff shift schedules change.
All of the above issues require widespread adoption of RPM with AI-powered real-time data analytics. Clinicians can make informed decisions and prioritize care effectively with RPM systems.
AI-powered analytics organizes data from remote patient monitoring devices into organized layers. Hospital resources and the opinion of the appropriate medical expert can be applied. Data analytics can be performed simultaneously and in real-time for thousands of patients.
Let us look at some applications of the RPM system. Personal monitoring devices capture all relevant patient data and are generally equipped with a Bluetooth module. Skin-mounted sensors or wearable devices track all kinds of health factors, from blood pressure to heart rate.
All portable devices must be able to transfer patient measurements to the healthcare provider. The most popular option for this transfer is Bluetooth Low Energy communication.
A mobile app collects patient data from wearable devices and sends it to doctors. These applications must be compatible with BLE data exchange networks and have caching mechanisms to protect them from communication problems.
A secure API must be integrated with the healthcare provider’s system. The application is usually built with informative images and advanced UX design to make it interesting for patients. These apps include medication reminders, video calls, and educational materials.
Cloud storage can store raw data from a patient’s wearable device. AI-enabled analytics break this data into manageable, labeled clusters. Many systems offer direct connectivity to the cloud for RPM devices, in which all the information obtained is stored in the cloud.
The Hospital Side web app is similar to the Patient Side app. It uses APIs to communicate with the hospital administration’s electronic medical records system.
According to a survey conducted by IHS Markit, over 4 million patients will be monitored globally by the end of 2022. Due to ongoing innovations in technology, RPM usage will increase year on year.
The RPM system helps physicians treat large numbers of patients and enables patients to participate more actively in managing their health. These technologies will continue to evolve for years to come when unexpected access issues are expected to arise.
Medical professionals will also be able to take advantage of the AI-enabled data analytics and cloud computing included in the RPM for better diagnosis and treatment accuracy.
If you need customized patient monitoring system solutions or help with custom software development for any healthcare needs, visit https://exoft.net/healthcare-software-development/ to have experts work on your applications and avail of the benefits of advanced technologies in your healthcare systems.