Interoperability

Portrait of Steven Posnack

Top Six Changes in the ISA 2020 Reference Edition

Steven Posnack | January 9, 2020

Can you believe it’s already 2020? We may still be a few years away from flying cars, but we’ve made a lot of progress since 2010. The Interoperability Standards Advisory (ISA), too, has changed a lot since the first publication in 2015 – from a static, 13 page document, to an interactive website covering close to 200 “interoperability needs” spanning clinical care, public health, administrative transactions, research, consumer access, and more.

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Portrait of Seth Pazinski

Measuring Interoperability: Listening and Learning

Seth Pazinski | July 1, 2016

In April we asked for your input and comments on ways for us to measure how well our nation’s health care system is doing in achieving “widespread interoperability,” as required by the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA). Separate from the provisions that the Department of Health and Human Services (HHS) has proposed to implement through the Quality Payment Program for payment of office-based Medicare physicians, MACRA specifically calls on HHS to establish metrics for the exchange and use of clinical information to facilitate coordinated care and improve patient outcomes between participants in the Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs and others nationwide.

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Portrait of Dr. Karen B. DeSalvo

A Foundation for Discovering Clinical Health IT Applications

Dr. Karen B. DeSalvo | June 1, 2016

Every day across America, health information technology (health IT) professionals and development teams are creating interoperability solutions using application programming interfaces (APIs). As this surge of innovation grows with each passing year, the likelihood that teams across the nation are creating similar or duplicative health IT applications is also increasing. Unfortunately, our capability to search for, discover, compare, and test existing applications has been limited and this lack of available information may contribute to a lag in the diffusion of innovation across the health IT application ecosystem.

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