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AMA Launches Data Management Model for Blood Pressure Devices

The new data model will manage information from devices that remotely monitor blood pressure.

AMA launches data management model for blood pressure devices

Source: Thinkstock

By Jessica Kent

- The Integrated Health Model Initiative (IHMI), an effort funded by the American Medical Association (AMA), has launched a new data management model that will be able to produce an uninterrupted stream of data from remote blood pressure monitoring devices.

The Self-Measured Blood Pressure Data Model was developed by IHMI to harness critical data that has often gone uncollected, unanalyzed, or unshared. The organization expects that this previously untapped data will present new opportunities to improve health outcomes.

The new model standardizes clinically relevant information for advanced blood pressure monitoring devices and improves the capture of clinically valid blood pressure data. It will serve as a portability standard used by devices to define what data to collect, how to represent collected data, and how to encode the data for easy transmission and exchange.

IHMI reviewed the clinical validity of the Self-Measured Blood Pressure Data Model with physicians as well as technology leaders in the field. Following the completion of a clinical validation process, the new model has moved into product integration with three medical technology companies.

The first, higi, is a consumer health technology company with over 10,000 health stations location across the country and was a key contributor to the IHMI clinical validation process.  

“higi is proud to collaborate with IHMI on this important endeavor which enables health care providers the ability to expand their current network and reach, know, engage with and manage their patients and consumers in real-time,” said higi Founder and Chief Medical Officer & Chief Technology Officer Khan Siddiqui, MD.

“With this real-time remote patient data now accessible to providers, they are able to connect patients to the right care they need, providing next health actions based on the reliable higi station blood pressure and biometric information to add real-time intelligence to patient treatment plans.”

Cloud DX, a Canadian leader in digital healthcare, has also agreed to move into product integration with the new model.

“The IHMI data model for gathering self-measured blood pressure will assist in establishing a baseline of trust in the BP readings of remotely monitored patients,” said Cloud DX Co-Founder & Chief Operations Officer Anthony Kaul.

“As digital medicine builds momentum and the care continuum continues to expand past the four walls of the clinic, it will be imperative that the precision of data gathered outside the clinic is a known entity as an input to diagnostic and prescriptive decisions by the clinician.”

HealthSteps is the third organization to integrate content from the new model into its data platform.

“The development of a common data structure with the AMA's IHMI data models is a giant leap forward for healthcare,” said HealthSteps CEO Benjamin King.

“We are excited to work with the AMA Integrated Health Model Initiative and its community of collaborators to advance this first release, and further the deployment of this technology to improve care for millions of patients.”

AMA’s IMHI aims to lead solutions for improving, organizing, and exchanging health data. The launch of the Self-Measured Blood Pressure Data Model will add to the initiative’s efforts to expand health data sharing and improve care.

“For too long, clinicians have struggled to navigate a landscape with oceans of data but puddles of information. The ability to harness patient-generated health data from a multitude of sources has come of age, and will empower patients and physicians to find and leverage meaningful data to improve health,” said IHMI Chief Medical Information Officer Tom Giannulli, MD, MS.

“With the increase in healthcare consumerism, there is a critical need to enable data models that manage the collection and exchange of health data so patients and clinicians can make sense of it and rely on its clinical validity.”


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