Press Release

AI in Remote Patient Monitoring: Implementing a wider telehealth approach for healthcare of tomorrow
October 2020

AI in Remote Patient Monitoring: Implementing a wider telehealth approach for healthcare of tomorrow

The unprecedented COVID-19 crisis has shaken almost every industry and country globally, with healthcare and life sciences industries overwhelmed with the unforeseen situation of panic, concern and urgency from the larger populations. The rapid spread of the virus and high infection rate has compelled healthcare systems to adopt protocols including minimal staff exposure to patients, gear personal protective equipment (PPE), limit patients visit frequency to clinical care and ease the burden on frontline warriors to manage the situation effectively.

The pandemic in short time has exposed the shortcomings and limitations of our current health system and has sent an alarming signal to transform the way we practice healthcare and manage patient care. The industry that sparsely used technology, software system and complex computer frameworks and programming, was quick enough to appreciate the potential and value associated with the shift to remote patient engagement and monitoring (RPM). The data from CDC report shows a whooping 154% increase in telehealth visits during the last week of March 2020, as compared to the same period a year ago. Certainly, the credit to these rising numbers goes to the emergence and wild spread of COVID-19 in 2020, the development is also fueled by health systems rapidly embracing digital health solutions to triage, manage and uplift the patient experience.

What is Remote Patient Monitoring (RPM)?

According to CCHP, remote patient monitoring leverages digital technologies to collect medical and other forms of health data from patients at disparate locations and electronically transmit that information securely to healthcare providers for assessment and recommendations.

The data collected includes a wide range of health information such as vital signs, weight, blood oxygen levels, blood sugar, heart rates and is gathered through regulatory approved remote or wearable patient monitoring devices such as glucometer, vital signs monitor, blood pressure monitor and weighing scales. RPM technology is driven by regulatory compliant software solutions that enable doctors to collect, monitor and visualize patient health report and make recommendations.

How Remote Patient Monitoring is getting smarter? Outlook for the RPM future.

A couple of years back, when the use of technology to collect and exchange healthcare data offsite sounded like a reverie, the pandemic has exposed the escapes in traditional approach and the need to rapidly accept the change and go digital.

With recent technology eruptions in Artificial Intelligence (AI) technology, the RPM solutions are up versioning themselves to newer AI-based models and further accelerate the efforts to use this valuable patient data to understand and treat the disease in wider populations. For instance, in April 2020, Current Health and Mayo Clinic launched a technology collaboration to develop remote patient monitoring solutions that can detect coronavirus and predict disease severity in the patients. Similarly, in January 2021, Biobeat, a company involved in providing remote patient monitoring solutions, launched a home-based remote patient monitoring kit providing healthcare staff to have continuous access to patient health. Integrated with AI-powered cloud-based management system for analysis and an intuitive mobile app to share patient’s vital information, the kit includes user-friendly manual, chest monitors and compatible adhesive units.

iCognition Insights latest insights project the AI in remote patient monitoring market to reach USD 1700.2 million by 2025. Perhaps, the RPM technology today is in its most exciting phase of next-gen versioning. Pure-play RPM companies are outplaying each other by bringing in new technologies, testing new concepts and applications, providing exceptional training and guidance support to the health systems, exploring new partnership opportunities (VitalTech partnership with AT&T) and expanding their service portfolio to stay ahead in the race.

Click here for more information about the market size, growth drivers, latest trends and forecast of global AI in remote patient monitoring market.

Authored by: Shailesh G

Shailesh leads client success and strategy at iCognition Insights and holds a blend of life sciences domain and business expertise. Currently he oversees our North America business and is always on the chase of crunching disparate data to derive meaning out of it and simplify our client’s decision intelligence journey.

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