Events Calendar

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12:00 AM - NextGen UGM 2025
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10:00 AM - MEDICA 2025
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NextGen UGM 2025
2025-11-02 - 2025-11-05    
12:00 am
NextGen UGM 2025 is set to take place in Nashville, TN, from November 2 to 5 at the Gaylord Opryland Resort & Convention Center. This [...]
Preparing Healthcare Systems for Cyber Threats
2025-11-05    
2:00 pm
Healthcare is facing an unprecedented level of cyber risk. With cyberattacks on the rise, health systems must prepare for the reality of potential breaches. In [...]
MEDICA 2025
2025-11-17 - 2025-11-20    
10:00 am - 5:00 pm
Expert Exchange in Medicine at MEDICA – Shaping the Future of Healthcare MEDICA unites the key players driving innovation in medicine. Whether you're involved in [...]
Events on 2025-11-02
NextGen UGM 2025
2 Nov 25
TN
Events on 2025-11-05
Events on 2025-11-17
MEDICA 2025
17 Nov 25
40474 Düsseldorf
Latest News

OIG flags issues with VA’s medication list

NIH’s Clinical Research Information System, built two decades ago for the nation’s largest research hospital, is due for replacement, according to Jon McKeeby, NIH Clinical Center’s CIO in Bethesda, Maryland.

The retirement of 40 of 120 IT employees, many possessing critical knowledge of the legacy EHR system, poses challenges, McKeeby explained at the AFCEA Bethesda Health IT Summit. He emphasized the complexity and dependency on specific individuals and skills, making maintenance difficult.

Collaborating with the Mitre Corporation, NIH has developed over 1,000 requirements for the new EHR, which aims to expedite the agency’s utilization of artificial intelligence. McKeeby highlighted the potential for a new EHR to facilitate AI implementation, aiding in data interpretation and supporting clinical decision-making.

In the broader context, healthcare seeks AI advancements to alleviate administrative burdens and enhance the clinician experience within EHRs, as noted by Paul Brient, athenahealth’s chief product officer. Peter Shen, Siemens Healthineers’ digital and automation business head, emphasized the importance of safety, transparency, and ethics in utilizing AI for personalized clinical decisions.