Punish the Machine: Using Data to Improve Patient Outcomes & Reduce Clinician Decision Fatigue - Interview with Dr. Uli Chetipally

2021-06-10

Dr. Uli Chettipally is the founder and president of InnovatorMD, and was a co-founder and former CTO of the CREST Network at Kaiser Permanente. He is passionate about technology-enabled care that can improve clinical outcomes, and authored a book on the topic called “Punish the Machine! The Promise of Artificial Intelligence in Health Care.” Through his work with the CREST Network, the team layered AI technology over Electronic Health Records to provide real-time data to physicians, allowing doctors to more easily...

Dr. Uli Chettipally is the founder and president of InnovatorMD, and was a co-founder and former CTO of the CREST Network at Kaiser Permanente.

He is passionate about technology-enabled care that can improve clinical outcomes, and authored a book on the topic called “Punish the Machine! The Promise of Artificial Intelligence in Health Care.”

Through his work with the CREST Network, the team layered AI technology over Electronic Health Records to provide real-time data to physicians, allowing doctors to more easily assess patient risk. More than one-million patients per year go through the system.

Dr. Chettipally says the system is scaleable and is a very effective way to support both patients and physicians.

Check out the interview to hear more about how the system works, and how it helps in both emergency and routine situations, and learn more about InnovatorMD.

Book: www.PunishTheMachine.com

LinkedIn: www.linkedin.com/in/ulichettipally

Topical time codes:

1:04 - CREST Network

2:37 - Reducing cognitive burden on physicians

4:03 - Success of the system

7:07 - Scaleability of the system

8:16 - Looking for solutions that benefit patients and physicians

10:50 - Example about treating pulmonary embolisms

13:28 - How data helps with common issues like blood pressure management

16:06 - Improving outcomes by expediting real-world data

18:36 - Punish the Machine - let the computers do the work

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