Transformation of the Doctor-Patient Relationship: Big Data, Accountable Care, and Predictive Health Analytics.
Seuli Bose BrillKaren O MossLaura PraterPublished in: HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues (2020)
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.
Keyphrases
- big data
- healthcare
- artificial intelligence
- machine learning
- affordable care act
- health insurance
- palliative care
- electronic health record
- public health
- end stage renal disease
- quality improvement
- health information
- chronic kidney disease
- ejection fraction
- primary care
- newly diagnosed
- risk assessment
- patient reported outcomes
- patient reported