Health systems have spent the past few years piloting AI across nearly every department, but translating that activity into hard financial numbers has proven elusive for many.
An April report from healthcare automation company Qventus found that while 42% of health systems say they’re deploying AI across multiple use cases, only 4% have achieved scaled implementation with measurable outcomes. Four out of five IT leaders said they have difficulty measuring AI’s return.
The organizations below are among the exceptions. Ranked by dollar figure, here is what 11 health systems and their leaders have said about the financial return AI has delivered — or is projected to deliver:
1. Penn Medicine (Philadelphia) — $105 million
Penn Medicine has budgeted for $105 million in benefits from AI by fiscal year 2028, with results already showing up in radiation oncology treatment planning and clinical documentation. An internally developed tool that automates contouring for radiation therapy has taken over work that would otherwise require a dosimetrist, a role in short supply nationally.
“We generally do not do [AI projects] unless there’s a clear benefit — a patient safety benefit, or a dollar benefit on the revenue or operations side,” Srinivas Sridhara, PhD, chief data and analytics officer of Penn Medicine, told Becker’s.
The seven-hospital, $12 billion system has also seen as much as a 20% productivity improvement among project managers using AI copilot tools.
2. CommonSpirit Health (Chicago) — over $100 million
CommonSpirit Health generated more than $100 million in value through AI and robotic process automation in fiscal year 2025, with 242 applications now live across its hospitals, up from about 160 two years earlier. The results include measurable reductions in sepsis mortality, imaging scan times cut by as much as 50% and $10 million generated by its Insightli AI assistant alone.
“We’re probably generating north of $100 million in annual savings using AI and RPA tools in a number of different areas,” said Daniel Barchi, senior executive vice president and CIO of CommonSpirit Health. “But before we got to that point, we put governance in place to make sure we were thoughtful about how we were using AI, particularly because patient safety, patient lives and patient data are at stake in all of this.”
CommonSpirit has also rejected 15 proposed AI use cases through its governance review process.
3. Beacon Health System (South Bend, Ind.) — $95 million
Beacon Health System has saved more than $95 million since implementing utilization management vendor Xsolis’ AI-driven medical necessity platform in 2019, according to the vendor.
The tool has helped Beacon’s team support 140% more patients a day.
4. Mount Sinai Health System (New York City) — $50 million
Mount Sinai Health System is projecting a $50 million bottom-line impact from its AI portfolio this year, with more than a 3-to-1 return on investment as the system scales the technology across clinical and operational workflows, according to Robbie Freeman, DNP, RN, chief digital transformation officer.
Pressure injury prevention is among the strongest examples of AI-driven ROI at the health system, along with an internally developed malnutrition detection tool that has generated roughly $20 million in revenue impact on its own through earlier intervention and documentation.
5. Tampa (Fla.) General Hospital — $40 million
Tampa General Hospital has accumulated $40 million in systemwide reduced inefficiencies since launching its CareComm AI command center with GE HealthCare’s software in August 2019.
The program has helped the hospital operate at maximum capacity, decrease average length of stay and reduce emergency room diversion by 25% for its Level 1 trauma center.
6. Providence (Renton, Wash.) — $33.6 million
Providence freed up $33.6 million in observation length-of-stay costs during the first eight months after deploying Xsolis’ AI and predictive analytics platform, decreasing observation length of stay by 32%.
The health system has since expanded the tool to 28 additional hospitals across six states.
7. UNC Health (Chapel Hill, N.C.) — nearly $20 million
UNC Health has reported measurable returns from several AI applications running in parallel. AI-powered clinical documentation using ambient scribing has saved providers an estimated $6 million by reducing charting time during nights and weekends. AI-driven infusion scheduling has generated about $5 million in additional revenue, automated prior authorization has contributed $3 million to $4 million in savings and revenue, and AI-enhanced nursing leadership communications have improved staff retention by an estimated $5.4 million.
CIO Brent Lamm said the metrics that resonate most with the health system’s board when making the case for AI funding are “patient outcomes, access, provider engagement, cost savings and revenue growth.”
8. Boston Children’s Hospital — $7 million
Boston Children’s Hospital has reclaimed about 60,000 hours from AI-enabled workflows since partnering with OpenAI at the enterprise level, saving more than $7 million in redeployed labor.
More than a third of the health system’s employees now use AI daily, with applications spanning supply chain invoices, operating room scheduling and clinical decision support.
9. Community Health Network (Indianapolis) — $6 million
Community Health Network is using AI to schedule wellness visits, scrub charts, deflect inbound calls and re-engage lost patients, generating $6 million in added revenue while improving the patient and provider experience, according to healthcare AI startup Notable.
The 200-site system set a $10 million cost-reduction target for AI in 2025.
10. Humboldt Park Health (Chicago) — $3 million to $4 million
Humboldt Park Health, a 200-bed safety-net hospital, expects AI tools including ambient documentation and revenue cycle automation to save $3 million to $4 million a year, according to COO Daisy Rodriguez, MSN, RN. A separate AI tool that detects when patients are at risk of falling is projected to save $300,000 on its own.
“Now you’re talking $3 million, $4 million, which for a safety-net hospital that’s another half a percent,” Ms. Rodriguez said.
11. OhioHealth (Columbus) — $550,000
OhioHealth lowered costs by nearly $550,000 in its first month using an AI-powered discharge planning tool from Qventus, which the vendor forecasts could reach $6.6 million annually as adoption scales.
The system reduced excess inpatient days by nearly 1,400 in that first month by using AI to detect gaps in care plans and sequence discharge steps.
Editor’s note: If your hospital or health system has AI ROI dollar figures to report, please email gbruce@beckershealthcare.com.
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