Cedars-Sinai’s CMIO Has A Piece of Advice for AI Startups

Cedars-Sinai’s CMIO Has A Piece of Advice for AI Startups

As Cedars-Sinai chief medical information officer, Shaun Miller must keep abreast of the latest advancements in healthcare technology — meaning he is familiar with the hundreds of AI companies that have flooded the healthcare space in the past decade. During an interview last week at HLTH, he pointed out one thing he thinks healthcare AI companies haven’t quite gotten right yet. 

AI vendors should pay more attention to their products’ ability to be personalized for use by clinicians in various roles, Miller said.

“From a physician perspective, I’d really like there to be a lot more recognition around the personalization of AI and the ability for technology to understand that not every clinician is the same,” he declared.

For instance, internists have different priorities than surgeons, so they require different data and workflows, Miller explained (he practiced as an internal medicine physician before becoming Cedars-Sinai’s CMIO). 

In order for AI to make a meaningful difference in solving the clinical burnout crisis, it has to fit seamlessly into clinicians’ day-to-day routines, he pointed out. 

“If I see a patient for the first time coming into the hospital, ideally I want to click a button and have the AI know who I am and say everything I need to know for that visit. It should tell me everything about the patient in the form of a summary, immediately at my fingertips. That helps with the cognitive burden of getting all that information, and it helps personalize the care for the patient and the clinician,” Miller said.

The speedy summary of patient data that Miller described is starting to become a reality amid the rise of generative AI, but he would “love to see a lot more” of that technology being personalized for its end user. 

“It took a while for EHRs to get like that — but I think AI solutions that really get to know who the clinician is and work for them would be great to see,” he declared.

To get started on this personalization piece, AI vendors need to get more connected to clinicians, Miller pointed out. These companies need to develop stronger relationships with clinicians in various roles so they understand what their different pain points are, what their workflows look like, what their priorities are and how they like to use technology.

A one-size-fits-all approach means that some clinicians will probably have a harder time adopting and using the technology than others, Miller noted.

“As we roll out more solutions, I think the approach is too broad. Vendors need to get into the nuances of what exactly differentiates clinicians’ specialties and how they interact with technology,” he declared.

Photo: ipopba, Getty Images

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