AI and malpractice risk: Are you exposed?

AI has crossed a quiet but consequential threshold in healthcare. ChatGPT Health and other health-focused AI systems are actively shaping how patients interpret symptoms, decide when to seek care, and form expectations about diagnosis and treatment, often long before they encounter a clinician. 

Implications for malpractice

Patients are increasingly consulting ChatGPT and symptom-checker platforms before appointments, and are acting on AI-generated advice.In some cases, they may delay care after receiving “reassurance” from AI.

"I think patients feel reassured that what they have may not be serious and maybe they will delay seeking care, and it also may drive some anxiety the other way by overrepresenting and giving them diagnoses that they don't necessarily have to worry about,” Michael Roebuck, MD, chief medical information officer at Hurley Medical Center, told ABC12. If they're going to look into things before they decide to come into the ER. It's a good starting point. I think connecting that information to your doctor and having a discussion with your doctor about your symptoms is probably the best use of that."

From a legal standpoint, this introduces a new and influential variable into the clinical encounter—one that may affect patient outcomes without being directly controlled by the physician.

Historically, malpractice determinations hinge on whether a physician met the applicable standard of care. AI complicates this analysis in two opposing ways.

AI and the evolving standard of care

First up: Inappropriate reliance on AI recommendations—especially without independent clinical judgment—may increase liability. In malpractice law, the physician remains the final decision-maker, regardless of algorithmic input.

Documentation has always been central to malpractice defense, and AI introduces new layers of complexity. Key questions may include: 

• Did the clinician consider AI input? 

• Did they override it, and why? 

• Was independent clinical reasoning documented? 

• Was AI-generated patient information acknowledged, corrected, or contextualized?

Clear documentation of reasoning, particularly when AI influences the clinical conversation, remains one of the strongest defenses against liability.

Patients increasingly rely on ChatGPT for symptom triage, medication questions, and test result interpretation, thereby creating new malpractice-adjacent risks. If a patient delays care based on AI reassurance, clinicians may still face scrutiny if warning signs were missed later, even when AI played a role in that delay.

The big question: Who is liable?

AI developers are rarely held directly liable. Physicians retain professional accountability, and health systems may share institutional liability. For now, malpractice law continues to center on the clinician’s judgment, regardless of whether AI influenced the clinical pathway.

ChatGPT Health and other AI tools are not merely educational aids or clinical enhancements; they are emerging forces in malpractice risk and health policy. Even physicians who only sparingly use AI will practice in an environment shaped by its influence on patients.

The challenge for healthcare professionals is to integrate AI thoughtfully. Those who do will be best positioned not only to mitigate legal risk, but to guide patients safely and confidently through an increasingly AI-mediated healthcare landscape.