Health systems have spent heavily on AI, automation and EHR tools on the expectation that the investments would pay off. A growing number are now attaching dollar figures to what came back.
Those figures don’t all measure the same thing. Some are hard savings, some are new revenue, some are labor hours redeployed to other work, and some are still estimates. Becker’s asked two health systems how their previously reported returns have held up since they first shared them.
Here’s what 14 health systems have reported:
1. Mount Sinai Health System (New York City). In May, Robbie Freeman, DNP, RN, then the health system’s chief digital transformation officer, told Becker’s that Mount Sinai expected a $50 million bottom-line impact from its AI portfolio in 2026, a more than 3-to-1 return on investment.
Lisa Stump, executive vice president and chief digital information officer, addressed where that figure stands.
“We remain on track for roughly $50 million in estimated AI-related benefits in 2026. I would describe this as a combination of increased revenue, costs avoided and clinical productivity — not a direct bottom-line impact,” she told Becker’s. “The largest estimated contributors are malnutrition diagnosis coding, pressure injury prevention, and ambient documentation.”
“We have not stopped any AI projects in 2026 because they failed to deliver,” she said. “We take a programmatic approach to assessment and scale what works. For example, we evaluated a few different AI scribe solutions and based on user feedback and total cost of ownership, selected the optimal solution for deployment at scale.”
2. St. Joseph’s Health (Paterson, N.J.). A blood management program built into the health system’s Oracle Health EHR generated $2.7 million in direct savings on blood and platelets and $7.2 million in total savings once transfusion-related costs were counted, according to an Oracle case study covering May 2020 to January 2026. The health system administered 7,690 fewer red blood cell transfusions and 1,365 fewer platelet transfusions.
Beth Kushner, DO, chief medical information officer of St. Joseph’s, compared that result with the program’s original projection.
“While there were projected savings, at this point I can’t remember specifics; however, it was far less than what we ended with, which is excellent,” Dr. Kushner told Becker’s.
The health system calculated the savings “based on supplies, time of RNs,” she said.
Dr. Kushner pointed to a second Oracle Health tool.
“Other products have such as the Clinical AI agent for ambient listening, our PCPs can now see on average 3-plus people per day and spend 50% less time charting,” she said.
3. Tampa (Fla.) General Hospital. The academic medical center credited its CareComm AI command center, built with GE HealthCare software, with $40 million in savings in the 14 months after its August 2019 launch, according to an October 2020 news release. Tampa General spent $13 million to develop the center, the Business Observer reported. The hospital said the center had eliminated about 20,000 excess hospitalization days and cut emergency department diversions by 25%.
4. UNC Health (Chapel Hill, N.C.). CIO Brent Lamm broke down the health system’s AI returns by tool in October 2025. Ambient documentation saved providers an estimated $6 million by reducing charting on nights and weekends, AI-driven infusion scheduling generated about $5 million in additional revenue, and automated prior authorization contributed $3 million to $4 million in savings and revenue. AI-enhanced nursing leadership communications improved staff retention, with an estimated value of $5.4 million. Together, those returns total roughly $20 million.
5. St. Luke’s Health System (Boise, Idaho). The eight-hospital system generated an extra $13,049 in revenue per clinician using Ambience Healthcare’s ambient AI documentation tool, KLAS Research reported in June 2025. Improved Hierarchical Condition Category capture accounted for $9,685 of that, and evaluation and management coding improvements added $3,363.
6. CommonSpirit Health (Chicago). The health system had 242 AI applications live across its hospitals in February 2026, CIO Daniel Barchi told Becker’s that month.
“We’re probably generating north of $100 million in annual savings using AI and RPA tools in a number of different areas,” Mr. Barchi said the year prior.
7. Boston Children’s Hospital. The pediatric health system has reclaimed about 60,000 hours from AI-enabled workflows and saved more than $7 million in redeployed labor since partnering with OpenAI at the enterprise level, according to a May 29 OpenAI news release. It has also launched more than 50 automations to support operational workflows.
8. Baptist Health (Jacksonville, Fla.). Epic’s AI Professional Billing Coding Assistant cut coder chart review time by 20% at the health system, generating an estimated $924,000 in annual labor savings, according to a June 8 EpicShare article.
9. Providence (Renton, Wash.). The health system freed up $33.6 million in observation-stay costs using Xsolis’ AI patient scores.
10. Beacon Health System (South Bend, Ind.). The health system has saved more than $95 million since implementing Xsolis’ AI utilization management platform in May 2019, according to a June 2025 Xsolis news release. The vendor said the partnership has allowed Beacon’s utilization review team to support 140% more patients a day.
11. University Health (San Antonio). The health system saved more than $17 million through its hospital-at-home program, Becker’s reported in June 2025.
12. Emplify Health (Green Bay and La Crosse, Wis.). The health system saved $3 million in hard savings plus $1.3 million in “soft” savings by retiring more than 30 IT applications, Becker’s reported in February.
13. Memorial Healthcare System (Hollywood, Fla.). Remote patient monitoring saved the health system more than $4 million by reducing hospital admissions by 50%, readmissions by more than 22% and emergency department visits by 27%, according to a February 2024 news release.
14. Guthrie (Sayre, Pa.). A virtual nursing program integrated with Epic saved the health system $7 million in labor costs by reducing its reliance on travel nurses, according to an August 2023 EpicShare article. Travel nurse staffing fell from 172 full-time employees to 98 between April 2022 and April 2023.
Not every bet returns money. Houston-based University of Texas MD Anderson Cancer Center spent about $62 million on an oncology project built on IBM Watson before shelving it, according to a 2017 University of Texas System audit, The Cancer Letter reported.
Other returns are still projections. Philadelphia-based Penn Medicine expects $105 million in ROI from AI through fiscal year 2028, and Franklin, Tenn.-based CHS expects to save up to $40 million with Oracle. Whether those numbers hold will show up in the next round of follow-ups.
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