Hospitals Take a Page from Banking’s Playbook for AI Integration

Healthcare institutions are increasingly recognizing that generic artificial intelligence models aren’t sufficient for clinical applications. Similar to how banks customized AI to adhere to regulatory frameworks, hospitals are now focusing on integrating their own protocols and best practices into AI platforms.

Sheba Medical Center in Israel recently partnered with OpenAI—the first international hospital deployment for the AI lab—to provide physicians and staff with secure access to an AI-powered clinical reasoning platform. This platform will synthesize medical studies and guidelines while offering verifiable citations for every response. But the more significant aspect of this partnership is Sheba’s plan to embed its own clinical protocols directly into the system, ensuring responses align with how the hospital specifically practices medicine.

“We are not just implementing AI in medicine but building a fully AI-powered hospital,” stated Dr. Eyal Zimlichman, chief innovation officer at Sheba and founder of ARC (Accelerate, Redesign, Collaborate).

This approach mirrors what’s happening in the financial sector, where banks realized that generic AI risked violating compliance regulations. As a result, AI vendors now build directly into bank infrastructure rather than offering standalone products.

For example, Anthropic launched 10 financial-services AI agents this year designed to plug into existing risk and compliance systems. Experian built an Agent Operating System inside its Ascend Platform that gives lenders auditability controls across all stages of AI-driven decisions.

Other hospitals are taking similar steps:

• Cedars-Sinai is incorporating its own care pathways into OpenEvidence’s clinical AI platform
• Mount Sinai provided staff with access to a platform pulling from both medical literature and hospital-specific guidelines

The common thread across these partnerships is that institutions view the underlying AI model as commodity infrastructure, while proprietary rules and workflows represent the true differentiator.

As Daniel Nadler, CEO of OpenEvidence, noted: “Medicine is not practiced in the abstract. It is practiced on individual patients with unique histories and complexities.”