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Electronic Medical Records Boot Camp
2025-06-30 - 2025-07-01    
10:30 am - 5:30 pm
The Electronic Medical Records Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of electronic health [...]
AI in Healthcare Forum
2025-07-10 - 2025-07-11    
10:00 am - 5:00 pm
Jeff Thomas, Senior Vice President and Chief Technology Officer, shares how the migration not only saved the organization millions of dollars but also led to [...]
28th World Congress on  Nursing, Pharmacology and Healthcare
2025-07-21 - 2025-07-22    
10:00 am - 5:00 pm
To Collaborate Scientific Professionals around the World Conference Date:  July 21-22, 2025
5th World Congress on  Cardiovascular Medicine Pharmacology
2025-07-24 - 2025-07-25    
10:00 am - 5:00 pm
About Conference The 5th World Congress on Cardiovascular Medicine Pharmacology, scheduled for July 24-25, 2025 in Paris, France, invites experts, researchers, and clinicians to explore [...]
Events on 2025-06-30
Events on 2025-07-10
AI in Healthcare Forum
10 Jul 25
New York
Events on 2025-07-21
Events on 2025-07-24
Press Releases

First EHR Integration of Tempus AI Co-Pilot Achieved by Northwestern Medicine

northwestrn-medicine-EMR industry

Chicago-based Northwestern Medicine has become the first health system to integrate David—a generative AI clinical co-pilot developed by Tempus—into its electronic health record (EHR) platform.

Clinical, operational, and technical teams from both organizations are working together to tailor the co-pilot to Northwestern Medicine’s specific needs, according to a Sept. 4 press release shared with Becker’s.

David is built to support clinicians with functions such as natural language queries, pre-appointment summaries, intelligent note-taking, and post-visit documentation and care planning. The integration will also leverage core elements of Tempus’ AI infrastructure, enabling multimodal patient record support and the introduction of new AI agents.

Northwestern Medicine stated that the initiative is aimed at reducing administrative burdens while improving clinical decision-making and patient outcomes.