Journal of Clinical Pathways January 20, 2021
In this post we explore the guidelines intended to provide guardrails for data science efforts. Guardrails often are in the form of generally accepted standards or examples of best practices as presented by data scientists and acquired through rigorous scientific experiments. Regulations are the formalization of best practices and set a standard for ensuring data scientists, like clinical providers, do no harm to patients. We now explore some of these guidelines and formal regulations intended to provide tools and guardrails for data science in health care. In our exploration we will discover that the context (e.g. performing health care operations vs conducting scientific research) under which health care data is used informs what regulations apply to a data science effort.
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