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Healthcare AI 2024
Use Cases Expanding to Meet New Market Needs
Author
Benjamin Cassity
Author
Jennifer Hickenlooper
The use of artificial intelligence (AI) in healthcare is rapidly evolving. More healthcare organizations are adopting data science platforms and other AI solutions to help alleviate the challenges of today’s environment, with a particular focus on increasing operational efficiency. Based on the feedback of both payer and provider organizations, this report examines the clinical, financial, and operational use cases for which AI is being adopted as well as the outcomes being achieved.
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Key Findings:
- Partnership & Expertise from ClosedLoop Drive Consistent Outcomes for Health Plans, ACOs; N1 Health’s* Collaboration & SDOH Algorithms Achieve Results for Health Plans
- Epic Customers Expanding beyond Clinical Use Cases; Outcomes Lagging from Oracle Health* Due to Decline in Support
- Outcomes with Health Catalyst* Not What They Could Be Due to Gaps in Usability & Training
*Limited data
Writer
Elizabeth Pew
Designer
Jess Wallace-Simpson
Project Manager
Andrew Wright
This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2024 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.