Welcome to the Health Information Technology Weekly News Round Up from RosettaHealth. Each week, we will provide you with a summary of all the actionable news that hospitals, HIT vendors, ACOs, and population health providers need to be smart and effective when it comes to HIT and health information exchange.

Medical Data Sharing: Are We There Yet?

The move toward ubiquitous electronic health record sharing across the U.S. is accelerating, but obstacles remain for providers, payers, patients, and other stakeholders, according to this Computerworld feature.

HIMSSCast: Interoperability -- HIEs and Other Frameworks Beyond TEFCA

In this recent HIMSSCast, the CEO of CRISP discusses how health information exchanges, regional health networks and others are collaborating to build out the interoperability ecosystem and enable more effective sharing of critical clinical and public health data.

USCDI Version 4 Adds New Data Standards for Health Equity

Published last week, the fourth version of the U.S. Core Data for Interoperability (USCDI) standard includes a new iteration of more health classes and elements that are improving exchange of electronic health information for better equity across the health care ecosystem.

A New Initiative Plans to Evaluate Digital Health Tools

A novel $50 million nonprofit initiative, dubbed the Peterson Health Technology Institute (PHTI), launched last week to evaluate digital health technologies and help cut through the hype to identify innovations that actually benefit patients.

As Fear Rises Over AI, Google and Epic Fight Stronger Regulation of the Technology In Healthcare

Big businesses poised to profit from the advance of AI in healthcare are pushing back against newly proposed federal rules meant to increase oversight and fairness of AI tools used to help make decisions about patient care.

Scientists Urge Caution Before Using AI Models in Healthcare for Ethnic Minority Populations

Scientists are urging caution before AI models such as ChatGPT are used in healthcare for ethnic minority populations, saying that existing inequalities for ethnic minorities may become more entrenched due to systemic biases in the data used by healthcare AI tools.

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