Top hospitals ranked for AI innovation

The new Hospital AI Readiness Index from CB Insights assessed 25 health systems for how they're innovating and executing on their artificial intelligence projects.
By Mike Miliard
10:13 AM

Credit: sankai/Getty Images

Everyone in healthcare is talking about artificial intelligence, and most health organizations are doing something with it, even in pilots or small-scale use cases. But some hospitals and health systems are truly leading the pack.

WHY IT MATTERS
CB Insights this week launched the Hospital AI Readiness Index. The scorecard is billed as a data-driven ranking that tracks leading-edge health systems on how creative they're being with their AI projects – and how well they're doing in putting them to work for better clinical and operational processes and outcomes.

The index uses CB Insights data to assess hospitals on two factors: innovation and execution.

For the former, authors explored what they're doing to develop or acquire new AI and automation tools and whether, for instance, they have specialized AI research departments. For the latter, they looked at AI deployments – where they're happening and what sort of real-world successes they're enabling.

Perhaps unsurprisingly, three heavy-hitting health systems top the list. Mayo Clinic is tops, according to CB Insights, followed by Intermountain and Cleveland Clinic.

Mayo was cited, for example, for having filed more than 50 patents for AI-enabled tools in cardiology, oncology and elsewhere, and for having invested in AI startups tackling an array of clinical and operational use cases.

Intermountain and Cleveland Clinic, meanwhile were recognized, respectively, for the former's homegrown development of an automated clinical decision support system, and the latter's many productive AI-centric business relationships, such as a "partnership with PathAI focused on leveraging pathology algorithms to enhance translational research and clinical care."

Here's the full list of 25 health systems, according to CB Insights (note a tie at #17), linking to just some of our coverage of their AI work.

1. Mayo Clinic

2. Intermountain Health

3. Cleveland Clinic 

4. Kaiser Permanente

5. Mount Sinai

6. Providence

7. HCA Healthcare

8. Mass General Brigham

9. Community Health Systems

10. Johns Hopkins

11. CommonSpirit Health

12. Ascension 

13. UPMC 

14. Banner Health

15. AdventHealth 

16. Stanford Health Care

17. Baylor Scott & White Health

17. UCLA Health 

18. Tenet Health

19. CHI Memorial 

20. Endeavor Health 

21. Trinity Health

22. Lifepoint Health 

23. Houston Methodist 

24. Scripps Health

THE LARGER TREND
Healthcare IT News has been reporting for years with interviews and in-depth case studies about how leading-edge health systems have been innovating their care delivery with artificial intelligence and machine learning.

Recent collection pages feature articles showing how blue-chip provider organizations are pioneering their AI efforts, and success stories where IT and innovation investments are paying off with clinical and financial ROI.

Interviewees have included Mayo Clinic Platform President Dr. John Halamka on the potential of generative AI; Cleveland Clinic Chief Analytics Officer Albert Marinez, who offered advice on democratizing AI innovation and upskilling talent; and Intermountain Chief Digital and Information Officer Craig Richardville with tips for evaluating and selecting vendors.

ON THE RECORD
"We looked at the top private-sector health systems in the US (by hospital count) and ranked them based on how prepared they are to adapt to a rapidly evolving AI landscape across two key pillars: innovation and execution," said CB Insights researchers in announcing the new Hospital AI Readiness Index.

"The innovation score measures a health system’s track record of developing or acquiring novel AI capabilities," they explained. "This score is based on CB Insights data including patents, acquisitions, and deal-making activity. It also considers the presence of an AI-dedicated research center."

The execution score, meanwhile, "measures a health system’s ability to bring AI-powered products and services into clinical practice as well as deploy AI internally across business and back-office functions. This score is based on CB Insights data including business relationships, product launch media mentions, and earnings transcripts."

Mike Miliard is executive editor of Healthcare IT News
Email the writer: mike.miliard@himssmedia.com
Healthcare IT News is a HIMSS publication.

The HIMSS AI in Healthcare Forum is scheduled to take place Sept. 5-6 in Boston. Learn more and register.

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