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Defining and Developing the Workforce Needed for Success in the Digital Era of Medicine
Digital Biomarkers Pub Date : 2020-11-26 , DOI: 10.1159/000512382
Jennifer C. Goldsack , Cole A. Zanetti

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.

中文翻译:

定义和发展在医学数字时代取得成功所需的劳动力

人工智能有望改变生物医学研究,并帮助临床医生将“护理”放回医疗保健领域。数字医学正在成为普通医学。但是谁来将我们定义健康和疾病的方式数字化?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,我们定义了新兴的数字医学领域,并确定了成功所需的学科和技能。我们检查当前和预计的技能差距。我们还考虑了医疗保健和技术交叉点发生的文化冲突的影响,以及这两个领域劳动力缺乏多样性的影响。
更新日期:2020-11-26
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