AMA’s new platform to revolutionize healthcare analytics market

The American Medical Association has reportedly been working to come up with an integrated clinical informatics and big data analytics platform that would plausibly stir up the healthcare analytics market. The platform has been conceived in a bid to deliver a common data model, that would help organizations aiming to offer the highest quality healthcare. In order to achieve its high-flying mission, the American Medical Association has joined forces with nearly 10 medical care and tech associations, inclusive of big shots such as IBM, PCORI, Cerner Corporation, AMIA, SNOMED, and Intermountain Healthcare. Tentatively titled the ‘Integrated Health Model Initiative (IHMI), the healthcare platform is expected to brainstorm a collaborative approach aiming at population health management and better chronic disease care, vividly disrupting the dynamics of healthcare analytics industry.

As per reports, the Integrated Health Model Initiative (IHMI) is focused on a platform designed to bring together numerous companies that would ideally be pioneering a big data framework for patient information. In essence, the platform would exploit predictive analytics to accomplish better outcomes, and would eventually help in transforming data collection, sharing, and deployment in the medical care fraternity. Furthermore, sources also cite that the platform would leverage current data standards such as, SNOMED, ICD-10, LOINC, and CPT, while simultaneously enabling healthcare providers to efficiently capture and access patient-centric data in ways that would not work with traditional standalone models.

Laurie McGraw, senior Vice President of Health Solutions at the AMA, was quoted stating that presently, big data notwithstanding, there are still some loopholes such as patient goals, function, wellness, outcomes in the medical care system, that are rather crucial from the patient’s perspective.

AMA’s massive multi-firm collaboration will reportedly attempt to address these potential gaps, by enumerating the deployment of a joint model for the purpose of accurately encoding information. Additionally, the joint model is anticipated to validate relationships between data elements contributing to clinical care suggestions, which would, in effect, impact the commercialization scope of healthcare analytics market.