Netsmart leverages AI and predictive analytics to improve care and identify suicide risk

Tom Herzog, Director of Operations Netsmart, says that “digitalization has always been about entering data into the system” and that users are asking, “What is the system doing for me?” » It’s time to “aggregate” this data and get a million “second opinions”.

Matthew Arnheiter, senior vice president of innovations, described Netsmart’s project with the Missouri Behavioral Health Council (MBHC) to use predictive analytics and identify people at risk for suicide. Their AI system ingested data from the “silos” of more than 30 behavioral health providers and other sources, such as death certificates of those who committed suicide. With this data, clinicians could connect with people in the emergency room and ensure they had a primary care provider when they were discharged. The results were not only fewer emergency room visits, but also better access to care.

Their Bells documentation assistant allows progress notes to be written in minutes, with quality checks such as interacting with clinicians in real time to ensure they are capturing statements that support the diagnosis and choice of action. According to Herzog, the system not only identifies patients at risk of various pathologies, but also searches for effective interventions to solve the problem. He calls this the “social determinants of care.”

Arnheiter says that in the near future, the clinician’s interaction with the EHR will be very different: instead of having to spend a huge amount of time entering information, it will be extracted from conversations and entered automatically. He also looks forward to consolidating the data into a national database for even better risk analysis.

Watch the video for more information on using AI to intervene in patient care.

Learn more about Netsmart: https://www.ntst.com/

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