For years, one of the biggest frustrations for physicians has not been diagnosing illness or treating patients. It has been the endless clicking, searching and scrolling through sprawling electronic health records long after clinic hours are over.At Optum Health, leaders say artificial intelligence may finally be helping relieve some of that burden.The health system recently piloted an AI-driven chart summarization capability designed to help clinicians quickly orient themselves to a patient before appointments. The goal was simple: reduce the time spent digging through records and allow providers to spend more time focused on patient care.Coordinated, personalized care"We see technology not simply as a tool for efficiency, but as an enabler of more connected, coordinated and personalized care," said Racquel Moore, vice president of EMR platform and product strategy.By embedding AI directly into clinical workflows, Moore said, care teams can identify patient needs earlier, reduce friction during visits and improve access to care.The pilot focused specifically on chart review, one of the most time-consuming parts of clinical preparation. The AI capability generated summaries intended to help clinicians quickly understand a patient's history before entering the exam room.According to Moore, the feature underwent extensive review and validation by informatics and clinical teams before broader deployment. After meeting internal performance and quality thresholds, it was first launched in a regional electronic health record environment and monitored during a two-month evaluation period before expanding into broader multi-market use.Measuring real-world impactEarly observations from the pilot pointed to meaningful efficiency gains, Moore said. Clinicians reported spending less time on after-hours administrative work and manual documentation tasks.Providers also noted smoother visit flow and an improved ability to complete documentation during clinic hours instead of late at night."More broadly, the pilot reinforced an important principle for us: AI should support clinicians in practical, workflow-integrated ways that reduce friction, simplify administrative tasks and create more space for meaningful patient care," Moore said.At Optum Health, leaders emphasize that technological readiness alone is not enough when deploying AI tools in healthcare settings."For us, readiness is not just technical – it's operational, clinical and human," Moore said. "A tool is only 'ready' if it integrates seamlessly into existing workflows, delivers clear value, and reduces friction for both clinicians and patients."That meant the rollout included targeted training, peer-led demonstrations and hands-on engagement forums for clinicians. The organization also used post-launch surveys and feedback loops to evaluate provider experiences and identify gaps.The emphasis on governance reflects a broader concern throughout healthcare about how AI tools are implemented safely and responsibly.Building guardrails for AIMoore said governance at Optum Health is treated with the same rigor as any clinical intervention.The organization has built a structured governance model spanning clinical, technical and regulatory oversight. That includes participation from clinical informatics, operations, data science, compliance, legal and privacy teams.AI capabilities are reviewed through formal intake processes, validated through both quantitative and qualitative measures, and monitored through dashboards and escalation pathways."Capabilities undergo formal review before release and are continuously monitored to ensure appropriate use, safety and regulatory alignment," Moore said.The company's phased approach to deployment also reflects caution around scaling AI too quickly.Optum Health begins with smaller pilots, then expands gradually once predetermined performance, safety and adoption thresholds are met. Leaders say that process helps ensure tools continue working reliably under the complexity of real-world clinical environments.Scaling carefullyToday, Moore said, the chart summarization tool supports thousands of providers in Optum Health's largest environment, with broader expansion underway across additional EHR systems.Early clinician feedback has been encouraging, she said, with providers citing time savings, smoother visit preparation and less administrative work spilling beyond clinic hours.Still, company leaders insist scale is not simply about expanding technology deployment."Ultimately, scale is not just about expanding reach – it's about sustaining meaningful impact over time," Moore noted.That means maintaining continuous monitoring, ongoing partnerships with clinicians, and the flexibility to adapt as patient needs and technology evolve.For healthcare organizations across the country, the challenge surrounding AI increasingly is no longer whether the technology can perform tasks. It is whether those tools can integrate into everyday clinical practice without adding complexity or eroding trust.At Optum Health, leaders say success will ultimately be measured not by the sophistication of the technology itself, but by whether it gives clinicians something health systems desperately need more of: time."Done well, AI does more than improve efficiency," Moore concluded. "It gives time back to clinicians, strengthens trust and creates more space for human connection at the heart of care."HIMSS is hosting the one-day AI Executive Leadership Summit in Boston on June 24, 2026, followed by its AI in Healthcare Forum June 25-26. Register separately for the two events here and here.Follow Bill's health IT coverage on LinkedIn: Bill SiwickiEmail him: [email protected]Healthcare IT News is a HIMSS Media publication.WATCH NOW: The cost savings of SDOH
Inside Optum Health's push to make AI practical for clinicians
A phased rollout of AI-powered chart summarization is reducing administrative burdens while testing how healthcare organizations can responsibly scale artificial intelligence.












