期刊
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
卷 23, 期 4, 页码 701-710出版社
OXFORD UNIV PRESS
DOI: 10.1093/jamia/ocw015
关键词
health information management; electronic health records; genomics; neoplasms; information science; mobile health
类别
资金
- ONC grant [90TR0001/01]
- TJ Martell Foundation
- Vanderbilt-Ingram Cancer Center Core Grant from NCI [P30-CA68485-18]
- NLM training grant [T15LM7450-12]
Background Precision cancer medicine (PCM) will require ready access to genomic data within the clinical workflow and tools to assist clinical interpretation and enable decisions. Since most electronic health record (EHR) systems do not yet provide such functionality, we developed an EHR-agnostic, clinico-genomic mobile app to demonstrate several features that will be needed for point-of-care conversations. Methods Our prototype, called Substitutable Medical Applications and Reusable Technology (SMART)(R) PCM, visualizes genomic information in real time, comparing a patient's diagnosis-specific somatic gene mutations detected by PCR-based hotspot testing to a population-level set of comparable data. The initial prototype works for patient specimens with 0 or 1 detected mutation. Genomics extensions were created for the Health Level Seven (R) Fast Healthcare Interoperability Resources (FHIR)(R) standard; otherwise, the prototype is a normal SMART on FHIR app. Results The PCM prototype can rapidly present a visualization that compares a patient's somatic genomic alterations against a distribution built from more than 3000 patients, along with context-specific links to external knowledge bases. Initial evaluation by oncologists provided important feedback about the prototype's strengths and weaknesses. We added several requested enhancements and successfully demonstrated the app at the inaugural American Society of Clinical Oncology Interoperability Demonstration; we have also begun to expand visualization capabilities to include cancer specimens with multiple mutations. Discussion PCM is open-source software for clinicians to present the individual patient within the population-level spectrum of cancer somatic mutations. The app can be implemented on any SMART on FHIR-enabled EHRs, and future versions of PCM should be able to evolve in parallel with external knowledge bases.
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