Ethical Data Mining in Healthcare: Toward a Professionally Grounded Framework

Abstract

The use of data mining technology in healthcare provides effective tools for resource management, therapy customization, and diagnosis. But there are also difficult ethical issues with their use. By critically analyzing important issues such algorithmic bias, patient autonomy, data ownership, and informed permission, this study offers a conceptual framework for ethical data mining in the healthcare industry. The framework places a strong emphasis on responsibility, transparency, and equity while building upon the moral obligations of healthcare workers and the fundamental ideas of bioethics. The purpose of this work is to assist physicians, data scientists, and policymakers in using data mining techniques in medical settings while making morally correct choices.

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