Warner Jeremy L, Rioth Matthew J, Mandl Kenneth D, Mandel Joshua C, Kreda David A, Kohane Isaac S, Carbone Daniel, Oreto Ross, Wang Lucy, Zhu Shilin, Yao Heming, Alterovitz Gil
Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
J Am Med Inform Assoc. 2016 Jul;23(4):701-10. doi: 10.1093/jamia/ocw015. Epub 2016 Mar 27.
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.
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.
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.
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.
精准癌症医学(PCM)需要在临床工作流程中能够随时获取基因组数据,并需要工具来辅助临床解读并做出决策。由于大多数电子健康记录(EHR)系统尚未提供此类功能,我们开发了一款与EHR无关的临床基因组移动应用程序,以展示即时医疗对话所需的若干功能。
我们的原型名为可替换医疗应用与可复用技术(SMART)® PCM,可实时可视化基因组信息,将通过基于聚合酶链反应的热点检测发现的患者特定诊断的体细胞基因突变与一组人群水平的可比数据进行比较。最初的原型适用于检测到0个或1个突变的患者样本。为健康级别七(HL7)®快速医疗互操作性资源(FHIR)®标准创建了基因组扩展;否则,该原型是一个普通的基于FHIR的SMART应用程序。
PCM原型可以快速呈现一种可视化效果,将患者的体细胞基因组改变与基于3000多名患者构建的分布进行比较,并提供与外部知识库的特定背景链接。肿瘤学家的初步评估提供了有关该原型优缺点的重要反馈。我们添加了一些要求的增强功能,并在美国临床肿瘤学会首次互操作性演示中成功展示了该应用程序;我们还开始扩展可视化功能,以包括具有多个突变的癌症样本。
PCM是一款开源软件,供临床医生在癌症体细胞突变的人群水平范围内展示个体患者情况。该应用程序可以在任何支持FHIR的SMART EHR上实现,并且PCM的未来版本应该能够与外部知识库并行发展。