Implementation, accuracy still highly dependent on human competency
While reactions to artificial intelligence (AI) are widespread, more experts are beginning to realize the applications themselves are basically as effective as humans can make them.
How solid is your data? How current is your technology? Without proper and thorough implementation, these tools can serve as little more than a distraction from everyday practice.
According to HealthCareITNews, a presentation at next month’s HIMSS18 Machine Learning & AI for Healthcare in Las Vegas will deal with the limitations of human beings as it pertains to successful implementation of AI.
Presenter Jeff Axt works in the IT department at the Hospital for Special Care in New Britain, CT. He emphasized the importance of utilizing the AI at the most important point of the decision-making process—but giving the clinician final say over said process.
“You can’t force the issue,” said Axt. “You can’t just say, ‘Surprise, this is what the diagnosis is.’ A clinician will slam their fist down on the table, turn you off, and go return to what they’ve been doing – practicing for 30 years.”
Axt goes onto suggests using AI as another type of consultant—not an equal or a superior to an experienced clinician, but another set of skills that adds value to the organization.