Enhancing Clinical Follow-Up with EHR-Integrated Summarization

Michigan Medicine Emergency Department

Problem

Clinicians in the University of Michigan Emergency Department collectively care for several hundred patients each day. They have access to patients’ medical records and can prescribe treatments based on that, but they have no way to know the effects of their treatments and the outcomes of the patients after they leave the emergency department. 

Audience

U-M Emergency Department Clinicians

Outcome/Impact

Alex Jenke of the U-M Emergency Department developed a Maizey-powered solution embedded directly within the EHR (Epic) to provide clinicians with follow-up summaries on patients after care transitions. When a provider submits a request, the system waits a defined period, retrieves all relevant patient records, and uses Maizey to generate a concise summary of what happened after the patient left their care. This fills a critical gap in clinical workflows, where providers often lack visibility into patient outcomes. Notably, this solution was built by a clinician without formal data science expertise, highlighting Maizey’s accessibility and ability to empower domain experts to create impactful AI tools. The result is improved continuity of knowledge, greater provider insight, and a scalable model for integrating AI into everyday clinical practice.

 

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