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HEC Forum

, Volume 31, Issue 4, pp 261–282 | Cite as

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

  • Seuli Bose BrillEmail author
  • Karen O. Moss
  • Laura Prater
Article

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.

Keywords

Doctor–patient relationship Health care ethics Health analytics Big Data Accountable Care Organizations 

Notes

Acknowledgements

The authors would like to thank Matthew Vest, Ph.D, MA for valuable feedback and insights on this paper.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.The Division of General Internal Medicine at The Ohio State University Wexner Medical CenterColumbusUSA
  2. 2.The Ohio State University College of NursingColumbusUSA

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