定义和发展数字医学时代成功所需的劳动力。

Q1 Computer Science
Digital Biomarkers Pub Date : 2020-11-26 eCollection Date: 2020-01-01 DOI:10.1159/000512382
Jennifer C Goldsack, Cole A Zanetti
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引用次数: 14

摘要

人工智能有望改变生物医学研究,并帮助临床医生将“护理”重新置于医疗保健领域。数字医学正逐渐成为普通医学。但是谁来数字化我们对健康和疾病的定义呢?谁将利用这些知识来改善医学和数字医学所服务的患者的生活?在这里,我们定义了数字医学的新兴领域,并确定了成功所需的学科和技能。我们考察了当前和预计的技能差距。我们还考虑了发生在医疗保健和技术交叉点的文化冲突的影响,以及这两个领域的劳动力缺乏多样性。最后,我们描述了确保医疗保健数字化转型成功所需的技能枢纽的要求:(1)大范围思维,以认识到新技术技能与更传统的临床学科的关键重要性;(2)在教育课程、公司和专业机构中整合临床和技术技能集;(3)对多样性的承诺,而不是口头上的承诺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defining and Developing the Workforce Needed for Success in the Digital Era of Medicine.

Artificial intelligence offers the promise of transforming biomedical research and helping clinicians put the "care" back in healthcare. Digital medicine is on its way to becoming just plain medicine. But who will digitize how we define health and disease? And who will deploy this knowledge to improve the lives of patients that medicine - and digital medicine - exists to serve? Here we define the emerging field of digital medicine and identify the disciplines and skills needed for success. We examine the current and projected skills gaps. We also consider the impact of the culture clash that occurs at the intersection of healthcare and technology, and the lack of diversity in the workforce of both of these fields. We conclude by describing the requirements for the skills pivot needed to ensure that the digital transformation of healthcare is successful: (1) big tent thinking to recognize the critical importance of new technical skills alongside more traditional clinical disciplines, (2) the integration of clinical and technical skill sets within educational curricula, companies, and professional institutions, and (3) a commitment to diversity that goes beyond lip service.

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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
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