DiMe Releases Toolkits to Improve Sensor Data Integration

The Digital Medicine Society (DiMe) released the Sensor Data Integrations Toolkits, four comprehensive toolkits to guide data producers, processors, and consumers to use the influx of data from the increased use of wearables and digital sensing products at scale.

These resources are based on the Sensor Data Integrations project, comprised of healthcare leaders from Amazon Web Services (AWS), Oracle, the Moffitt Cancer Center, Takeda, the US Department of Veterans Affairs (VA), and more.

These toolkits will help realize the promise of sensor generated data to drive better decisions, faster, to improve healthcare delivery and research.

The surge of data from sensor technologies is far outpacing the industry's ability to collect, store, analyze, protect, and use this data effectively for patient care and research. The number of US patients using remote patient monitoring devices is expected to surpass 70 million by 2025.

Between 2022 and 2028, the global market for wearable technology is expected to grow around 18.5 percent, reaching $380.5 billion. The number of unique digital endpoints being used in industry sponsored trials of new medical products increased by over 950% between October 2019 and May 2022. The number of sponsors using these products in medical product development increased from 12 to 96 in the same timespan. And while the ability to discern high-quality sensor data suitable for clinical decision making is increasing rapidly, the ability to access these data is constrained by a current dependence on individual point solutions.