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By Mike Miliard | 12:06 pm | September 13, 2023
Electronic health records that deliver suboptimal user experience are more likely to lead to alert fatigue and less likely to catch errors that could impact hospital safety, University of Utah Health research shows.
By Andrea Fox | 12:19 pm | August 07, 2023
Brigham and Women’s Hospital notified patients that a publicly accessible link to some personal and health information was inadvertently posted to the public version of the data analytics tool.
By Mike Miliard | 11:40 am | June 22, 2023
The newest batch of health systems to receive funding to examine their clinicians' patterns of electronic health record use include Brigham and Women’s, MedStar, UCSF and Yale School of Medicine.
By Kat Jercich | 09:15 am | November 17, 2020
But at the AMIA virtual symposium this week, health IT professionals said they still see the potential of app-based ecosystems.
Workforce
By Bill Siwicki | 01:33 pm | November 05, 2020
The Boston health system’s Digital Innovation Hub has spearheaded a new way to get all staff to contribute ideas. Many of those ideas are already in play and proving successful.
By Kat Jercich | 03:03 pm | August 19, 2020
The cloud-based platform allows hospital users to create cases from scanned whole slide images and it's cross-compatible with most other WSIs, the company says.
By Mike Miliard | 05:14 pm | August 17, 2020
The initiative will use a mental health monitoring tool,= developed by Johns Hopkins tech startup Rose to track stress levels among staff and identify triggers.
By Kat Jercich | 04:25 pm | June 02, 2020
A decade-long study just published in JAMA finds a wide variance in the safety performance of operational EHR systems, especially when it comes to reducing adverse drug events.
By Bill Siwicki | 12:38 pm | May 06, 2020
Now more than ever, healthcare IT leaders can use a comprehensive listing of companies that make technologies that help keep tabs on patients from afar.
By Nathan Eddy | 12:18 pm | January 10, 2020
The findings suggest AI systems can be trained to detect and grade cancer in prostate needle biopsy samples with an accuracy rate equal to that of prostate pathology experts.

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