HEALTHCARE & MEDICARE

Health system leaders say 3 strategies that lead to AI success

Arcadia CEO Michael Meucci said the AI ​​change management process that healthcare providers are navigating will be more important, if not more, than the industry’s transition to EHRS.

“If we don't consider this shift as part of our overall implementation costs, we will be ready for our results as you will partially implement a range of points solutions without meaningful adoption,” he said in an AI strategy report released by Arcadia last month.

Here are three recommendations included in the report, all from health system leaders.

Building a solid foundation

In order for health systems to achieve AI success, it must start with a reliable data lake

The report states that it is “a single source of truth.”

Terri Couts, chief digital officer and CIO of Guthrie Clinic, said building this infrastructure first is key.

“We are traveling. The first use case for our data lake is around population health. We are building this foundation and I have spent a lot of time educating my peers about “why” and how we use data.”

Make the most of the technology you already have

As hundreds of AI companies sell products to hospitals, it's easy to be pinned to the latest and brightest models.

Jeff Sturman, chief digital information officer at Memorial Healthcare System, said hospitals would be better off using a more strategic approach.

“We have invested a lot of time and effort in the platforms that have been used to figure out they can also solve other problems, rather than saying ‘we want to be a development store and figure out what we can develop our own’ or ‘there are 1,000 other opportunities to solve a specific problem and buy other solutions?’” he said.

Sometimes innovation requires parameters

Compliance with guidelines and standards is a necessary condition for AI deployment in healthcare, especially as the field continues to evolve at a rapid pace.

“We will be mediators in our institution, and with proper training and proper proof, we are expanding access to data, but under certain regulatory and legal requirements. This is how we balance it – expanding the workforce but ensuring they complete the proper level of training,” said Alex Low, Director of Research Data Hubs and CIN IT Strategy at NYU Langone Langone Health.

Source: Peach_istock, Getty Images

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