The news: The Digital Medical Society (DiMe) released four toolkits that help healthcare and life science organizations scale wearables and remote patient monitoring (RPM) devices, per MobiHealthNews.
Here’s how it works: The toolkits include a blueprint for healthcare organizations to construct digital tools, a database of standards for different regions, resources for capacity and staffing planning, and an implementation toolkit that comes with a quick-start guide and priorities calculator.
Companies such as Amazon Web Services, Moffitt Cancer Center, and Oracle use the society’s Sensor Data Integrations project to generate data into platforms for clinical research. The project helps healthcare organizations integrate sensor data and algorithms to help medical professionals manage research data and aid clinical care.
Sensor data from connected devices track patients’ blood pressure, heart rate, respiratory function, and sleeping patterns. Devices range from wearables, smart speakers, and ingestible capsules to clinical RPM devices like glucometers, blood pressure cuffs, and pulse oximeters.
The problem: Data integration challenges are holding back healthcare organizations from aggregating key data from connected medical devices to access a single view of data.
Zooming out: Collecting data from RPM devices can help healthcare organizations reduce costs amid the value-based care models.
As RPM adoption climbs in the US, physicians can also gain vital data on chronic conditions.
Large hospitals are clearly ahead when it comes to ramping up RPM adoption.