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These studies suggest predictive analytics in healthcare can improve patient health and lower costs but also raise ethical and legal challenges that require policy development.
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Predictive analytics, which involves using electronic algorithms to forecast future events, has the potential to significantly improve patient health outcomes and reduce healthcare costs. However, the implementation of predictive analytics in healthcare and insurance decision-making raises several ethical, legal, and policy challenges. This synthesis examines these challenges and the implications of using predictive analytics in these fields.
Ethical and Legal Challenges in Healthcare:
Patient Consent and Privacy:
Impact on Doctor-Patient Relationship:
The use of predictive analytics in healthcare and insurance decision-making offers significant benefits but also presents substantial ethical, legal, and policy challenges. Key concerns include data privacy, patient consent, and the impact on the doctor-patient relationship. Addressing these challenges requires robust governance structures, compliance with existing regulations, and active involvement of clinicians in policy development.
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