The health IT office of the Department of Health and Human Services plans to relax the existing safeguards for AI tools intended for use within the health care system. These plans have elicited mixed reactions depending on who one talks to.
Under the proposed rule changes, requirements to mandate that medical records are understandable, easy to use, and transparent to all parties regarding the extent to which AI is being used, are all targeted for reform with a view to easing them. For example, under the existing rules that were created during the Obama administration, developers were required to pilot their systems by having nurses and doctors use them so that the feedback provided helps to refine the system before it is rolled out.
Those old rules also required tech companies to be more transparent on matters like the data they relied on when training their IT systems so that users, in this case, hospitals and other health care facilities, could have a reasonable basis upon which to decide the extent to which they could rely on those systems.
These two requirements are set to be relaxed under the proposed changes. Supporters of these changes say such reforms would make it possible for innovation to happen at a faster pace and make many options from which users can select a suitable one for their needs. As competition ramps up, the advocates say, market forces will trigger cost benefits to users.
However, critics say implementing those rule changes comes with many disadvantages. For example, the AI scribes currently on the market have taken flak for taking so much time as doctors go through the medical records captured by the system and correcting the errors they make. In such a case, the utility of the AI scribes comes under question because the system isn’t saving as much time as the developers claim it is capable of.
When no rules govern how systems are designed, the market is likely to be awash with systems that are cluttered or poorly designed, experts say. Such systems could, for example, result in medication lists becoming so confusing that a doctor or other health care professional ends up selecting the wrong medication to prescribe for a patient.
Raj Ratwani, a specialist researcher focusing on how humans interact with technology in the health care system, provides a vivid example of a doctor who wishes to prescribe a common medication, Tylenol, and the medical system provides a list with 30 items under that name. Each of those options has a different purpose for use and a different dosage, which can overwhelm the doctor and cause him or her to pick the incorrect drug version.
Such an example shows how it is important for real-world tests to be conducted before system rollout, but this requirement could be removed if the proposed changes are passed as-is. The debate on the extent to which health care IT should be regulated is bound to get fiercer as both sides advance their arguments. Major tech companies like Alphabet Inc. (NASDAQ: GOOGL) (NASDAQ: GOOG) are likely to also voice their opinions and policymakers will have the final say on the way forward.
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