Data Analytics

Hospitals and health systems use current and past data from its informatics systems to find trends, draw conclusions and identify the potential for improvement outcomes in patients and populations, and to support business decision-making. In patient care, data analytics can show areas  that need improvement, and bottlenecks to faster and more accurate diagnoses. On the business side, health system data can be leveraged to lower costs, maximize revenue, streamline and improve operations. Data is increasingly being used to look at the larger picture of population health to identify traits that can flag patients that may need additional resources to prevent readmissions. It can also help identify patients at high risk for some diseases that can be contacted about additional screenings for improved preventative care.

Emit Trivedi, Healthcare Information Management Systems Society (HIMSS) director of informatics and health IT standards, discussed these challenges of next-level interoperability with Health Exec at the HIMSS 2023 annual meeting. #HIMSS #HIMSS23 #HIMS2023 #interoperability

What missing pieces remain in health IT interoperability?

Amit Trivedi, HIMSS director of informatics and health IT standards, explains the remaining gaps in interoperability and how it remains a moving target.

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Interoperability among hospitals is improving

Overall, hospital engagement in three domains of interoperability––receiving data, finding data and integrating data––have significantly increased since 2017.