Sutter Health is integrating artificial intelligence-powered decision support technology directly into its electronic health record workflows, a move designed to give physicians immediate access to updated care guidelines, clinical studies and related resources at the point of care. The initiative, announced jointly by the health system and vendor OpenEvidence, embeds the evidence-based platform within the not-for-profit organization’s Epic EHR environment.
Through the integration, physicians will be able to use natural language queries to search for and retrieve up-to-date clinical data. According to the organizations, the system is built to support quality and safety standards while streamlining how doctors access relevant medical information during patient encounters.
Laura Wilt, Sutter Health’s chief digital officer, said the collaboration reflects a shared ambition to strengthen clinical support and reshape care delivery. She described the effort as part of a broader transformation agenda. “It’s how we’re transforming the way we serve patients, support care teams and improve outcomes,” she said. Wilt added that the organizations are aligned in their commitment to “reimagining healthcare for the better.”
The deployment builds on Sutter Health’s earlier investments in generative AI. Two years ago, the California health system began using generative AI tools with the goal of reducing clinician burnout and enhancing organizational sustainability. At that time, Dr. Albert Chan, Sutter Health’s chief health information officer, said in a statement that the generative AI platform enabled providers to “recharge.”
OpenEvidence, for its part, said the collaboration is intended to move the needle on healthcare sustainability and medical AI safety. Dr. Travis Zack, OpenEvidence’s chief medical officer, indicated that working with Sutter Health advances those objectives.
Clinical decision support has long been associated with improved patient outcomes and more efficient resource utilization. More recently, scientific research has examined whether emerging generative AI technologies can further strengthen performance. Last year, researchers at Mass General Brigham evaluated a hybrid strategy over the course of a yearlong study.
The team compared two large language models (LLMs) – OpenAI’s GPT-4 and Google’s Gemini 1.5 – against the health system’s diagnostic decision support system, DXplain. Findings showed that the established, homegrown platform surpassed the LLMs in diagnostic accuracy for patient cases. However, researchers concluded that combining AI capabilities with traditional decision support systems could yield stronger results.
In their report, the MGB researchers detailed how pairing DXplain with an LLM could enhance the clinical efficacy of both systems. “A hybrid approach that combines the parsing and expository linguistic capabilities of LLMs with the deterministic and explanatory capabilities of traditional DDSSs may produce synergistic benefits,” they said.
Sutter Health executives framed the OpenEvidence integration as part of a broader digital strategy. “Digital innovation plays a central role in our work to build a more connected, proactive and sustainable healthcare system,” Wilt said in the announcement. Dr. Ashley Beecy, Sutter Health’s chief AI officer, underscored the patient impact, stating, “Patients benefit when providers have the most current and relevant evidence incorporated into clinical decision-making,” she added.
