Guide-linked quiz · Medium Level
Malpractice Liability When Doctors Use AI Quiz
Tests the four elements of negligence, the Price, Gerke and Cohen analysis of following or rejecting AI advice, and why FDA clearance is not a shield.
Question 1 of 8
Which set lists the four elements a US malpractice claim usually requires?
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Answers and explanations appear as you take the quiz.
- Which set lists the four elements a US malpractice claim usually requires?
- Intent, motive, opportunity, harm
- Duty, breach of the standard of care, causation, damages
- Consent, disclosure, billing, harm
- License, specialty, error, apology
- Under the 2019 JAMA analysis by Price, Gerke and Cohen, which scenario carries the highest liability risk for a physician?
- Following an AI recommendation for standard care
- Rejecting a correct but nonstandard AI suggestion
- Following an AI recommendation that departs from standard care when the patient is then harmed
- Not using AI in a specialty where no tools exist
- Why can an undocumented dismissal of an AI flag hurt a clinician in court?
- EHR audit logs show the alert was displayed, which suggests the clinician was on notice
- AI companies testify against doctors
- Dismissing alerts is a crime
- The flag automatically becomes the standard of care
- Why is FDA 510(k) clearance not a full shield for a physician using an AI tool?
- The FDA does not review any AI software
- Clearance expires after one year
- Clearance makes the FDA the defendant
- 510(k) clearance generally does not block state negligence claims or define the standard of care
- A hospital deploys a model without validation or training, and a patient is harmed. Which theory might a plaintiff use against the hospital itself?
- Learned intermediary
- Corporate negligence over how the tool was selected, validated and rolled out
- Product recall
- Informed refusal
- Why are product liability claims against AI developers harder to win, according to the guide?
- Developers are immune under federal law
- Software never causes harm
- Courts often treat software as a service, and the clinician stands between the tool and the patient as a learned intermediary
- Patients cannot identify the developer
- Which documentation practice does the guide recommend when AI informs a clinical decision?
- Record the tool used, its output and why you agreed or disagreed based on your own assessment
- Never mention AI in the chart
- Copy the vendor's marketing claims into the note
- Record only the final diagnosis
- An ambient AI scribe inserts an exam finding that never happened, and the physician signs the note. Who is responsible for the note's accuracy?
- The scribe vendor alone
- The patient
- No one, because the error was automated
- The physician who signed it
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