Around 68% of health system executes strong AI investment plans to converge strategic aims

Health and Wellness Informatics News

HIMSS finds operational use cases more favorable than clinical ones aims to prove the benefits of AI and machine learning.

Director and digital health leader at The Chartis Group, Thomas Kiesau, offers very useful benchmarking for health systems and hospitals. During the digital event of the HIMSS State of Healthcare on Tuesday, he compares their digital maturity and IT investments with their peers.

The Chartis Group held a survey on 226 health system executives from all over the nation. The health organizations and hospitals asked regarding their objectives on machine learning, machine learning, and artificial intelligence.

The executives evidenced positive perceptions regarding digital health. However, some negative comments were also there, like its dissimilarity from care delivery.

When questioned on the largest barriers of digital health acceptance, around 59% of reimbursement and regulatory issues are cited. Along with that, there are 18% technology issues, and 42% noted as clinician buy-in.

Keisau, on the strategic imperatives and priorities of these digital health efforts, says, “patient access is the number one priority for over a third of the health systems, with 70% of the respondents putting it as a top three priority.”

He further states about its another major goal of cost reduction of about 60% of execs. However, the Chartis Group reports claim it’s still in the early stage in many health system. Around 70% of the respondents are yet to establish any strategic artificial intelligence programs, the report suggests.

Chartis even questioned execs regarding an array of ML, and AI use cases. These cases include fraud prevention, supply chain, remote patient monitoring, surgical robots, and many more.

There was an open agreement that AI applications are able to help with each of them. Keisau, from his side, claims, “There’s positive perceptions around AI- that it could increase new job capabilities…But at the same time, there are negative perceptions that it could also cause job losses. It could create some level of risk when we’ve got artificial intelligence guiding more decisions.”

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