Believe it or not, surgery has been performed by robots since March of 1997. The robot’s name was Mona, after the Mona Lisa, and the surgery that she/it performed was a gallbladder operation. 21 years later, and progress has been strangely slow. As cited by General Surgery Today, experts blame this slowness on a number of factors, including “technological limitations and questions about its applicability” in medical practice.
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These are the types of questions that rely on hard data in a court of law. If Charlie’s primary care physician misdiagnoses Charlie’s heart condition, and then refers him to a specialist who suggests a treatment based on the misdiagnoses, both might be liable for the resulting damages, but for different amounts. But could access to medical technology prove a difference maker?
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Clinical Decision Support Systems (CDSSs) comprise one of the fastest growing and most widely discussed areas of Health Information Technology (HIT) in existence today. CDSSs have been defined as “Active knowledge systems which use two or more items of patient data to generate case specific advice,” (Wyatt J, Spiegelhalter D, 1991); or there’s this from Robert Hayward of the Center for Health Evidence, “Clinical Decision Support Systems link health observations with health knowledge to influence health choices by clinicians for improved health care.”
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