Dana Siegal, Vice President of Risk Management and Analytics at Coverys, discusses using data to identifying high-risk areas for malpractice.
Minimizing medical malpractice and the resulting claims has always been paramount for health care providers. As data analytics and AI continue to progress the industry’s ability to self-assess vulnerabilities, technology has becoming increasingly intertwined with the goal of reducing diagnostic errors and improving patient outcomes. Physicians Practice sat down with Dana Siegal, Vice President of Risk Management and Analytics at Coverys, to discuss the utilization of data in identifying high-risk areas for malpractice and strategies health care providers can implement to mitigate these risks.
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