Why AI Vendors Struggle to Compete With EHRs

Key Takeaways

• 79% of U.S. hospitals use AI from their EHR vendor.
• Only 59% adopt third‑party AI models, per HealthAffairs study.
• Two‑thirds of Epic users prefer “good enough” Epic AI over better alternatives.
• Policy could level field by mandating open APIs for EHR data access.
• Required developer sandboxes would let third‑party AI compete with EHR vendors.

Pulse Analysis

The current landscape of clinical artificial intelligence is heavily skewed toward the platforms that host patient records. EHR giants such as Epic and Cerner have built deep integrations that let them bundle AI tools directly into clinicians' workflows, leveraging existing data pipelines, procurement contracts, and pricing models. This structural advantage translates into market share: a HealthAffairs study reports that nearly four‑fifths of U.S. hospitals rely on AI supplied by their EHR vendor, while only a little more than half turn to independent developers. The result is a self‑reinforcing cycle where the most convenient solution wins, even when superior algorithms exist elsewhere.

Regulators are being urged to intervene before the status quo cements a de‑facto monopoly on AI innovation. Policy proposals include expanding mandatory API standards so third‑party tools can access real‑time EHR data without costly custom interfaces. A sandbox environment—similar to Apple’s iOS developer ecosystem—could provide a safe testing ground, ensuring new AI applications meet security and usability criteria while remaining competitive. Additionally, mandating transparent performance metrics would empower health systems to compare outcomes across vendors, shifting procurement decisions from relationship‑based to value‑based criteria.

If these measures take hold, the market could see a surge in specialized AI solutions that address niche clinical problems more effectively than generic EHR‑bundled tools. Health systems would benefit from a broader talent pool, potentially lowering costs and accelerating the adoption of cutting‑edge analytics. Moreover, increased competition could drive EHR vendors to innovate their own AI offerings, ultimately raising the overall quality of digital health tools available to providers and patients alike.