Alkasab Tarik K, Bizzo Bernardo C, Berland Lincoln L, Nair Sujith, Pandharipande Pari V, Harvey H Benjamin
Harvard Medical School, Boston, Massachusetts; Massachusetts General Hospital Department of Radiology, Boston, Massachusetts.
Harvard Medical School, Boston, Massachusetts; Massachusetts General Hospital Department of Radiology, Boston, Massachusetts.
J Am Coll Radiol. 2017 Sep;14(9):1184-1189. doi: 10.1016/j.jacr.2017.04.031. Epub 2017 Jun 23.
Decreasing unnecessary variation in radiology reporting and producing guideline-concordant reports is fundamental to radiology's success in value-based payment models and good for patient care. In this article, we present an open authoring system for point-of-care clinical decision support tools integrated into the radiologist reporting environment referred to as the computer-assisted reporting and decision support (CAR/DS) framework. The CAR/DS authoring system, described herein, includes: (1) a definition format for representing radiology clinical guidelines as structured, machine-readable Extensible Markup Language documents and (2) a user-friendly reference implementation to test the fidelity of the created definition files with the clinical guideline. The proposed definition format and reference implementation will enable content creators to develop CAR/DS tools that voice recognition software (VRS) vendors can use to extend the commercial tools currently in use. In making the definition format and reference implementation software freely available, we hope to empower individual radiologists, expert groups such as the ACR, and VRS vendors to develop a robust ecosystem of CAR/DS tools that can further improve the quality and efficiency of the patient care that our field provides. We hope that this initial effort can serve as the basis for a community-owned open standard for guideline definition that the imaging informatics and VRS vendor communities will embrace and strengthen. To this end, the ACR Assist™ initiative is intended to make the College's clinical content, including the Incidental Findings Committee White Papers, available for decision support tool creation based upon the herein described CAR/DS framework.
减少放射学报告中不必要的差异并生成符合指南的报告,对于放射学在基于价值的支付模式中取得成功以及有益于患者护理至关重要。在本文中,我们展示了一种用于即时临床决策支持工具的开放式创作系统,该系统集成到放射科医生的报告环境中,称为计算机辅助报告和决策支持(CAR/DS)框架。本文所述的CAR/DS创作系统包括:(1)一种定义格式,用于将放射学临床指南表示为结构化的、机器可读的可扩展标记语言文档;(2)一个用户友好的参考实现,用于测试创建的定义文件与临床指南的契合度。所提出的定义格式和参考实现将使内容创建者能够开发CAR/DS工具,语音识别软件(VRS)供应商可以使用这些工具来扩展当前使用的商业工具。通过免费提供定义格式和参考实现软件,我们希望赋能个体放射科医生、诸如美国放射学会(ACR)这样的专家团体以及VRS供应商,以开发一个强大的CAR/DS工具生态系统,从而进一步提高我们这个领域所提供的患者护理的质量和效率。我们希望这一初步努力能够成为一个由社区所有的指南定义开放标准的基础,影像信息学和VRS供应商社区将接受并强化这一标准。为此,ACR Assist™倡议旨在使学院的临床内容,包括偶然发现委员会白皮书,可用于基于本文所述的CAR/DS框架创建决策支持工具。