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医患关系的转变:大数据、责任医疗与预测性健康分析

Transformation of the Doctor-Patient Relationship: Big Data, Accountable Care, and Predictive Health Analytics.

作者信息

Brill Seuli Bose, Moss Karen O, Prater Laura

机构信息

The Division of General Internal Medicine at The Ohio State University Wexner Medical Center, 895 Yard Street, Columbus, OH, 43212, USA.

The Ohio State University College of Nursing, 368 Newton Hall, 1585 Neil Avenue, Columbus, OH, 43210, USA.

出版信息

HEC Forum. 2019 Dec;31(4):261-282. doi: 10.1007/s10730-019-09377-5.

DOI:10.1007/s10730-019-09377-5
PMID:31209679
Abstract

The medical profession is steeped in traditions that guide its practice. These traditions were developed to preserve the well-being of patients. Transformations in science, technology, and society, while maintaining a self-governance structure that drives the goal of care provision, have remained hallmarks of the profession. The purpose of this paper is to examine ethical challenges in health care as it relates to Big Data, Accountable Care Organizations, and Health Care Predictive Analytics using the principles of biomedical ethics laid out by Beauchamp and Childress (autonomy, beneficence, non-maleficence, and justice). Among these are the use of Electronic Health Records within stipulations of the Health Insurance Portability and Accountability Act. Clinicians are well-positioned to impact health policy development to address ethical issues associated with the use of Big Data, Accountable Care, and Health Care Predictive Analytics as we work to transform the doctor-patient relationship towards improving population health outcomes and creating a healthier society.

摘要

医学专业深深植根于指导其实践的传统之中。这些传统的形成是为了维护患者的福祉。科学、技术和社会的变革,在保持驱动医疗服务目标的自我管理结构的同时,一直是该专业的标志。本文的目的是运用博尚和奇尔德雷斯提出的生物医学伦理原则(自主、行善、不伤害和公正),审视医疗保健领域中与大数据、 accountable care organizations(可译为“责任医疗组织”)和医疗保健预测分析相关的伦理挑战。其中包括在《健康保险流通与责任法案》规定范围内使用电子健康记录。临床医生在影响健康政策制定以解决与大数据使用、责任医疗和医疗保健预测分析相关的伦理问题方面具有良好的地位,因为我们致力于转变医患关系,以改善人群健康结果并创建一个更健康的社会。

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