Baron Jason M, Dighe Anand S, Arnaout Ramy, Balis Ulysses J, Black-Schaffer W Stephen, Carter Alexis B, Henricks Walter H, Higgins John M, Jackson Brian R, Kim Jiyeon, Klepeis Veronica E, Le Long P, Louis David N, Mandelker Diana, Mermel Craig H, Michaelson James S, Nagarajan Rakesh, Platt Mihae E, Quinn Andrew M, Rao Luigi, Shirts Brian H, Gilbertson John R
Department of Pathology, Massachusetts General Hospital, MA ; Department of Pathology, Harvard Medical School, MA.
Department of Pathology, Beth Israel Deaconess Medical Center, MA ; Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, MA ; Department of Systems Biology, Harvard Medical School, MI.
J Pathol Inform. 2014 Jan 31;5(1):2. doi: 10.4103/2153-3539.126145. eCollection 2014.
Pathologists and informaticians are becoming increasingly interested in electronic clinical decision support for pathology, laboratory medicine and clinical diagnosis. Improved decision support may optimize laboratory test selection, improve test result interpretation and permit the extraction of enhanced diagnostic information from existing laboratory data. Nonetheless, the field of pathology decision support is still developing. To facilitate the exchange of ideas and preliminary studies, we convened a symposium entitled: Pathology data integration and clinical decision support.
The symposium was held at the Massachusetts General Hospital, on May 10, 2013. Participants were selected to represent diverse backgrounds and interests and were from nine different institutions in eight different states.
The day included 16 plenary talks and three panel discussions, together covering four broad areas. Summaries of each presentation are included in this manuscript.
A number of recurrent themes emerged from the symposium. Among the most pervasive was the dichotomy between diagnostic data and diagnostic information, including the opportunities that laboratories may have to use electronic systems and algorithms to convert the data they generate into more useful information. Differences between human talents and computer abilities were described; well-designed symbioses between humans and computers may ultimately optimize diagnosis. Another key theme related to the unique needs and challenges in providing decision support for genomics and other emerging diagnostic modalities. Finally, many talks relayed how the barriers to bringing decision support toward reality are primarily personnel, political, infrastructural and administrative challenges rather than technological limitations.
病理学家和信息学家对病理学、检验医学及临床诊断的电子临床决策支持越来越感兴趣。改进的决策支持可优化实验室检查选择，改善检查结果解读，并能从现有实验室数据中提取更多诊断信息。尽管如此，病理学决策支持领域仍在发展之中。为促进思想交流和初步研究，我们召开了一次题为“病理学数据整合与临床决策支持”的研讨会。
该研讨会于2013年5月10日在马萨诸塞州总医院举行。参会人员经过挑选，代表了不同背景和兴趣，来自八个不同州的九家不同机构。
当天安排了16场全会报告和三场小组讨论，共涵盖四个广泛领域。本稿件包含了每场报告的总结。
研讨会上出现了一些反复提及的主题。其中最普遍的是诊断数据与诊断信息之间的二分法，包括实验室利用电子系统和算法将其生成的数据转化为更有用信息的机会。会上描述了人类才能与计算机能力之间的差异；精心设计的人机共生关系最终可能会优化诊断。另一个关键主题涉及为基因组学和其他新兴诊断模式提供决策支持时的独特需求和挑战。最后，许多报告都传达了将决策支持变为现实的障碍主要是人员、政治、基础设施和行政方面的挑战，而非技术限制。
