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Physicians spend less time than ever with patients — just 27 percent of the workday, according to a study published in the Annals of Internal Medicine in 2016.
The main culprit: electronic health records. Doctors find themselves increasingly glued to computers, acting as glorified data entry administrators.
Even when they’re in the same room as patients, doctors interacted with them only 52 percent of the time. However, the study also found a contra-indicator: doctors who used some kind of document support — a medical scribe or dictation service — spent more time interacting directly with patients.
That’s a dynamic LexiconAI hopes to capitalize on using GPU-infused AI.
“We thought this was a problem that we could tackle,” said Matt Rubashkin, co-founder and CEO of the Silicon Valley-based startup. “There really needs to be a better way to attack the system. How do we empower doctors and help them focus on what’s important?”
Rubashkin and LexiconAI co-founder and CTO Ian Plosker both had worked in the digital health area previously, and saw firsthand how much time was being wasted on documentation.
The two joined forces with the intent of leveraging voice and speech recognition to reinvent how medical data is captured. They focused on using deep learning to let providers capture medical information more seamlessly, without interrupting their patient interactions. The result: LexiconMD, a mobile app that takes in unstructured speech and spits out structured data.
The app records the conversation between doctor and patient and streams the audio to LexiconAI’s cloud-based engine, which returns the captured text —complete with best word suggestions — in just 500 milliseconds.
The app integrates with many electronic health record systems to make it possible to automatically fill the right fields with the returned data, and Rubashkin claims that LexiconMD is 94 percent accurate out of the box. (For systems with which LexiconMD isn’t yet integrated, physicians can still use the speech recognition capabilities and simply plug the data that’s returned to them into the correct fields manually.)
“When people interact with LexiconMD, it’s like interacting with a human,” said Rubashkin. “Instead of you having to use specific words and adapt to it, our goal is for LexiconMD to adapt and learn from you.”
(Score: 0) by Anonymous Coward on Sunday March 04 2018, @09:05PM (5 children)
Al says you're Tarded and Fucked Up. That'll be this many dollars, bro.
(Score: 2) by takyon on Sunday March 04 2018, @10:11PM (2 children)
What we need is an AI-powered death panel.
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]
(Score: 2) by c0lo on Sunday March 04 2018, @10:53PM (1 child)
That will cost some extra dollars, though.
https://www.youtube.com/watch?v=aoFiw2jMy-0 https://soylentnews.org/~MichaelDavidCrawford
(Score: 2) by MostCynical on Monday March 05 2018, @06:21AM
For $50, you can have a certificate that says "Report to repocessing plant 2298 in one day"
for $5,000, you can have a certificate that says "Report to repocessing plant 2298 in four years"
...etc.
"I guess once you start doubting, there's no end to it." -Batou, Ghost in the Shell: Stand Alone Complex
(Score: 2) by krishnoid on Sunday March 04 2018, @11:00PM (1 child)
"So doctor, this is kind of embarrassing, but you'll need to look inside my butt for something I put up there. It's a --"
Completions: Over 6,000,000 results returned (1.2 seconds)
(Score: 3, Funny) by c0lo on Monday March 05 2018, @06:45AM
Unlike the study mentioned in TFS, this one is from the "Anals of Internal Medicine", right?
https://www.youtube.com/watch?v=aoFiw2jMy-0 https://soylentnews.org/~MichaelDavidCrawford