The application of artificial intelligence technologies to health care delivery, coding and population management may profoundly alter the manner in which clinicians and others interact with patients, and seek reimbursement. While on one hand, AI may promote better treatment decisions and streamline onerous coding and claims submission, there are risks associated with unintended bias that may be lurking in the algorithms. AI is trained on data. To the extent that data encodes historical bias, that bias may cause unintended errors when applied to new patients. This can result in ...
When evaluating the various legal and regulatory hurdles associated with telehealth—such as licensure, reimbursement, and privacy—one hurdle that often goes overlooked is the corporate practice of medicine. Many states have enacted laws which directly or indirectly are viewed as prohibiting the “corporate practice” of medicine. While variations exist among states, the doctrine generally forbids a person or entity, such as a general business corporation, other than a licensed physician, professional corporation (“PC”) or a professional limited liability ...
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