AI project helps Atlantic Health radiologists speed up care

Atlantic Health System in New Jersey uses augmented intelligence (AI) to spot potential abnormalities in diagnostic imaging studies and then moves those images to the top of the list for a radiologist to review.

This effort, called the Radiology Imaging Artificial Intelligence Analysis Project, was recently recognized as an example of “corporate excellence” by CIOa publication that deals with the “digital transformation” of companies.

“With this tool, the AI ​​takes on a variety of tasks, many of which were manual and repetitive in nature, to help get critical information to the radiologist as quickly as possible,” notes the publication, which named Atlantic Health to its track record. CIO 100 which recognizes organizations for “innovative use of technology, creating a competitive advantage in their organizations, improving business processes, growing and enhancing customer relationships”.

Jose Rios, MD, PhD, medical director of radiology informatics for the Atlantic Medical Group and the Atlantic Health System, member of the AMA Health System program, spoke with the AMA to explain how the project works. ‘IA.

“If there are emerging findings in a study, that will alert us so that we can expedite the management of those critical findings – things like intracranial hemorrhage or pulmonary embolism,” Dr. Rios said. “So things that might have been on our to-do list to be read in the next day or so, we’re now looking at them a few minutes after they’re done because the software is there to help us do our job and do it efficiently and provide better patient care.

Dr. Rios added that it is in this faster healing that he finds the AI ​​most useful.

“The role of AI is to help augment our capabilities and set priorities,” he said. “It also helps me be more efficient at what I do, and that’s where its value to me lies.”

Using AI and its decision-support tools also helps relieve the stress that comes with worrying that something important has been missed, leading to “doing that last neurotic check again,” he said. said Dr. Rios, adding that this is especially true for residents. who trains with him.

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“It certainly helps alleviate burnout, especially for people like our interns, who don’t have the years of experience that a participant has,” he said. “I always preach to them to treat the AI ​​as a safety net, not a crutch, and that they have to do their own interpretation first and then look at what the AI ​​is trying to point out.”

Learn about artificial intelligence versus augmented intelligence and WADA’s research and advocacy in this vital and emerging area of ​​medical innovation.

Avoid Shiny Toy Syndrome

According to Sunil Dadlani, senior vice president and chief information officer of Atlantic Health, this AI project in radiology is only part of the health system’s ambitions to drive the next generation of care to improve outcomes. for patients.

“We innovate across a broad spectrum,” Dadlani said.

“That means disease detection, disease diagnosis, disease triage, definition of care plans, admission, discharge, transfers and remote patient follow-up,” he added. “And we don’t limit AI to the clinical aspect alone. We leverage AI and innovate on the operational, financial, supply chain and marketing side.

Dr. Rios said he was also grateful for the work Dadlani and his team have done in listening to doctors’ concerns and then acting on them. An example: limit the number of steps required to use the technology.

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“I’m sure a lot of doctors can attest to that – one of the reasons for the burnout is the number of clicks we have to go through just to sign a file,” he said.

Dadlani said Atlantic Health is working to stay away from “shiny toy syndrome,” in which technology is added without a clear purpose. Instead, technology is used to solve a defined problem, such as finding gaps in care, without adding complexity or administrative burdens that can lead to burnout.

One key is “human-centered design,” which involves giving doctors or other clinical staff — not the AI ​​algorithm — the “final yes or no” on a decision.

“Technology, if used correctly, can be a competitive advantage,” Dadlani said. “If not done correctly, it can really bring the organization to its knees.”

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