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临床信息学项目主任向美国预防医学委员会提出的建议。

A Clinical Informatics Program Directors' Proposal to the American Board of Preventive Medicine.

机构信息

Clinical Informatics Fellowship, Stanford School of Medicine, Palo Alto, California, United States.

Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States.

出版信息

Appl Clin Inform. 2020 May;11(3):483-486. doi: 10.1055/s-0040-1714348. Epub 2020 Jul 15.

Abstract

In 2013, the American Board of Preventive Medicine (ABPM) and the American Board of Pathology (ABPath) offered the first board certification examination in Clinical Informatics to eligible physicians in the United States. In 2022, the Practice Pathway will expire and in 2023 only candidates eligible through the Fellowship Pathway will be eligible for the board certification. To date, Clinical Informatics as a specialty has not had a regular match process and used a controlled offer-acceptance process that does not meet candidates' or programs' needs. Fellows may not be offered a position with their top choice program initially, and they may accept offers from other programs to avoid risk by ensuring that they have a fellowship position. Programs have to consider losing an applicant in the first round in the ranking of applicants. The process is open to manipulation including early agreements between program directors and candidates. In this open letter to the ABPM, program directors make the case for a third-party match and are calling on the ABPM to leverage its status as the Clinical Informatics certifying body and its existing infrastructure to implement a Clinical Informatics match.

摘要

2013 年,美国预防医学委员会(ABPM)和美国病理学委员会(ABPath)为美国符合条件的医生提供了首个临床信息学委员会认证考试。2022 年,实践途径将到期,2023 年只有通过研究员途径合格的候选人有资格获得委员会认证。迄今为止,临床信息学作为一个专业尚未有一个常规的匹配过程,而是使用了一种不符合候选人或项目需求的控制式提供-接受过程。研究员最初可能不会被他们首选的项目提供职位,他们可能会接受其他项目的职位,以避免因确保他们有研究员职位而承担风险。项目必须考虑在申请人的排名中第一轮失去申请人。该过程容易受到操纵,包括项目主任和候选人之间的早期协议。在这封致 ABPM 的公开信中,项目主任提出了第三方匹配的理由,并呼吁 ABPM 利用其作为临床信息学认证机构的地位及其现有基础设施,实施临床信息学匹配。

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