When it comes to achieving the success of AI, guaranteeing the acceptance of doctors and other operational end users is one of the most complicated and most important parts of the process, according to Rohit Chandra, digital director of Cleveland Clinic.
He said this duration was an interview last week at the Digital Health Conference Reuters in Nashville.
When implementing a new AI solution in its ecosystem, a hospital must ensure that end users are completely compromised, not only to understand the tool, but also to work with the supplier to help refine and integrate it sewing in existing workflows.
Navigating this change management process can be a challenge for hospital leaders that AI end users are often doctors and nurses who are incredible.
“They are finished, so [you have to] Be sure to choose a problem that facilitates the work of caregivers in some significant way. If it is interesting, “Oh, this would be something to play,” that’s not good enough, “Chandra said.
To achieve the doctor’s acceptance, hospitals must begin by adopting solutions that address the problems that doctors and nurses have identified as most important to them, he said.
That is why the scribes of AI are seeing such high adoption rates among doctors, Chandra said. The documentation load is an important stressful factor in their lives, so they are committed to using and adjusting a solution that addresses this problem.
Chandra also pointed out that doctors are more likely to support AI solutions when hospital leadership clearly emphasizes their potential to improve patients. After all, providing quality care to patients is the reason why most doctors and nurses enter the field first.
He mentioned the AI of sepsis prediction as an example.
“No one will disagree with what is a critical problem of 1,000 people who are in the country every day due to complications related to sepsis. If you choose a problem in which you have a shared commitment to make it a different point of meaning.
Ensuring that end users really worry about a final objective of AI Solutions is essential because achieving the success of AI is in the long term. Acceptance has to be a Givven from the beginning, or otherwise, doctors won to remain committed to all the hard work that comes along with the refining and adaptation of AI tools in hospitals, said Chandra.
In general, the construction of trust and acceptance can be a slow and incremental process that is based on “a success at a time,” he said.
In his opinion, AI is about to transform most industries, and this is something to be optimistic.
“If we accumulate and if we do well, medical care should be much more accessible, much more affordable and much better in terms of clinical results three or seven years inside,” Chandra said.
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