Interoperability
10:25 am
April 30, 2019
Top takeaways from a month of reporting on today's current state and the future of health data sharing.
02:14 pm
April 26, 2019
As health systems merge, the need to reconcile data sets from disparate EHR systems for population health and quality improvement is critical, and artificial intelligence can help, the company says.
12:17 pm
April 26, 2019
The hospital has been able to use the Amazon Web Services-based interface engine to send hundreds of millions of messages both internally and externally.
08:40 am
April 26, 2019
HIMSS Insights speaks to Mikel Hernaez, director of computational genomics at the Carl R. Woese Institute for Genomic Biology at the University of Illinois.
01:10 pm
April 25, 2019
Experts from across health IT, including members of the HL7 board and advisory council, say the new standard can do big things for data exchange, but it's not a cure-all.
11:52 am
April 22, 2019
The HIMSS Insights eBook on connected care and interoperability looked at the impact and potential of the Patient Unified Lookup System for Emergencies (PULSE).
National Coordinator for Health IT Dr. Donald Rucker
12:12 pm
April 19, 2019
The Office of the National Coordinator for Health IT made interoperability news on several fronts Friday: granting a much-requested 30-day extension for public comments on its proposed data exchange, information blocking and patient access rules and publishing the second draft of its Trus
11:34 am
April 16, 2019
Bridge Connector says its “no-code” iPaaS platform can be used to integrate a variety of data sources.
04:26 pm
April 15, 2019
A new survey from the American Telemedicine Association assesses the current state of data exchange standards for remote care and offers best practices for health systems looking to capitalize on its potential.
12:41 pm
April 11, 2019
Three experts discuss how application programming interfaces help enable system interoperability, and describe what the role of APIs will be in the future.
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Above: A side-by-side comparison of multiple sclerosis lesion segmentation. Left image shows manual lesion segmentation, while right shows fully automated lesion segmentation. Image courtesy of SNAC.
