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Thursday, September 14, 2023

How Meditech Plans to Combine Google’s Generative AI Into Its EHR

EHR, EMR, medical record

Together with many different corporations within the healthcare expertise area, Meditech is exploring methods to boost its software program by way of using generative AI.

The EHR vendor has been partnered with Google Cloud for about 5 years. Over the previous 12 months, Meditech has deepened its relationship with the tech large by exploring methods to embed Google’s generative AI into its EHR. However Meditech shouldn’t be including generative AI to its EHR capabilities simply because that looks as if the new factor to do proper now — the corporate is approaching its generative AI efforts in a gentle, intentional approach, COO Helen Waters mentioned in an interview this week.

On condition that the digital well being area is within the midst of a generative AI hype cycle, it’s crucial that corporations on this area don’t fall into the lure of implementing new applied sciences only for the sake of adopting one thing new and thrilling, Waters famous. Meditech is avoiding this by focusing its generative AI efforts on particular use circumstances that the corporate thinks could have critical potential to alleviate clinicians’ burnout, she mentioned.

For one among its generative AI initiatives, Meditech is utilizing Google’s massive language fashions (LLMs) to energy the search and summarization expertise inside its EHR. Meditech is counting on Google’s LLMs for information harmonization in order that clinicians can rapidly entry a longitudinal view of their affected person. In different phrases, the trouble is looking for to make sure clinicians have fast and easy accessibility to all related details about a affected person — together with well being information from the Meditech Expanse EHR, well being information from legacy expertise platforms, scanned handwritten notes and medical photographs.

Having swift entry to a complete view of their affected person accelerates physicians’ potential to make sound, knowledgeable selections about therapy, Waters identified.

Meditech can be exploring tips on how to layer Google’s Med-PaLM 2 into its EHR’s search and summarization capabilities. Unveiled in April, Med-PaLM 2 is a medical AI system that harnesses the facility of Google’s LLMS. The software is presently being piloted at Mayo Clinic and different well being methods — they’re testing its potential to reply medical questions, summarize unstructured texts and arrange well being information.

As soon as a number of LLMs are layered collectively into the EHR, clinicians could quickly be capable of ask the EHR extra clever questions concerning the affected person information that’s being summarized, mentioned Rachel Wilkes, Meditech’s director of selling.

As it really works to combine Google’s generative AI into its expertise, one other use case that Meditech is specializing in is the auto-generation of medical documentation. Particularly, the corporate is growing an EHR performance that can generate “hospital course narratives” — predictive summaries of what a affected person’s keep would possibly appear like on the time of admission.

When a affected person has an acute inpatient hospital keep, the size of the keep and the complexity of the care offered could make the documentation course of fairly arduous on the time of discharge. Suppliers inform Meditech that this documentation course of can take half-hour of a clinician’s time every time a affected person leaves the hospital, Wilkes identified.

She mentioned Meditech is presently working with Google to find out the easiest way to leverage its LLMs to generate hospital course narratives within the EHR when sufferers are admitted. These summaries of what a affected person’s keep might probably appear like will likely be introduced to clinicians of their Meditech Expanse workflow, and they’re going to have the choice to edit the abstract or any drafted items of documentation included inside it.

“We’re not doing this simply to do it. We’re seeking to see how we will use this expertise to ensure we may also help our organizations ship secure, environment friendly, impactful care. We’re doing this in a considerate, deliberate approach. We’re doing a really cautious overview of the use circumstances that we’re pursuing, how they influence present workflows and the way we will embed this into Expanse for the betterment of the expertise for our customers,” Wilkes declared.

Picture: invincible_bulldog, Getty Photographs

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