SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care

Author:

Warner Jeremy L12,Rioth Matthew J12,Mandl Kenneth D34,Mandel Joshua C34,Kreda David A5,Kohane Isaac S3467,Carbone Daniel8,Oreto Ross8,Wang Lucy8,Zhu Shilin9,Yao Heming1,Alterovitz Gil346

Affiliation:

1. Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA

2. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA

3. Boston Children’s Hospital Computational Health Informatics Program, Boston, MA, USA

4. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA

5. Independent Consultant, New York, NY, USA

6. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA

7. Department of Pediatric Endocrinology, Boston Children’s Hospital, Boston, MA, USA

8. Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA

9. Department of Electrical Engineering and Information Science, University of Science and Technology of China, Hefei, China

Abstract

Abstract 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)® 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® Fast Healthcare Interoperability Resources (FHIR)® 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.

Funder

National Cancer Institute

NLM

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Cited by 46 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pre-trained language models in medicine: A survey;Artificial Intelligence in Medicine;2024-08

2. Genomics Clinical Decision Support with Fast Healthcare Interoperability Resources Genomics Operations;Advances in Molecular Pathology;2024-08

3. Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration;Journal of the American Medical Informatics Association;2022-12-22

4. A Systematic Integrated Literature Review of Clinical Data Management Platforms of HL7 FHIR;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

5. MatchMiner: an open-source platform for cancer precision medicine;npj Precision Oncology;2022-10-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3