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It is time to learn from patients like mine.
Saurabh Gombar1,2, Alison Callahan2, Robert Califf3
11Department of Pathology, School of Medicine, Stanford University, CA Stanford, USA.
A new specialty consultation service uses electronic health records (EHRs) to provide evidence for clinical decisions when guidelines are unclear. This service bridges the gap between treatment guidelines and real-world patient care by summarizing data from similar patients.
Area of Science:
- Clinical Informatics
- Health Services Research
- Evidence-Based Medicine
Background:
- Published treatment guidelines often lack clear recommendations for complex clinical scenarios.
- Electronic health records (EHRs) contain valuable data from similar patients that could inform decision-making.
- Current methods for accessing and synthesizing EHR data are insufficient for on-demand clinical support.
Purpose of the Study:
- To propose and describe a specialty consultation service that leverages EHR data to support clinical decision-making.
- To address the evidence gap between existing guidelines and the realities of patient care.
- To facilitate the on-demand use of real-world patient data for clinical practice.
Main Methods:
- A multidisciplinary team of medical and informatics experts provides consultation.
- The service summarizes data from EHRs and other health sources for "patients like mine".
- Physician inquiries are translated into actionable reports, emulating familiar workflows.
Main Results:
- The service has been piloted at an academic medical center.
- It aims to provide rapid summaries of patient data to inform care.
- The utility and demand are expected to vary by practice type and data availability.
Conclusions:
- A specialty consultation service can effectively utilize EHR data to close evidence gaps in clinical practice.
- This model offers a practical solution for clinicians facing situations without clear treatment guidelines.
- Widespread adoption by clinical informatics professionals is recommended to study its utility.
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