How Machine Learning Can Help Prevent Future Hospitalizations

//How Machine Learning Can Help Prevent Future Hospitalizations

We don’t need machines to tell us that ending up in the hospital for something that could have been prevented is a waste of resources.

Hospital stays expose us to potential airborne viruses and bacteria, keep us away from work, friends, and family, and increase the potential for being given or prescribed the wrong medications and/or anesthesia.

preventing-hospitalization-ai-machine-learning-launch-cloud-services

In 2010, The Agency for Healthcare Research and Quality reported that one out of every ten hospitalizations were potentially preventable and that the attributing symptoms or conditions accounted for almost 4% of all hospital stays. Additionally, it stated that preventable chronic conditions accounted for about 6.2%. This equates to a lot of time, money and resources going to waste that could have been used in more productive ways. A study published in 2009 by the Centers for Medicare and Medicaid Services found that 26% of all hospitalizations were potentially avoidable.

Clover Health has been analyzing big data and using machine learning to proactively pinpoint when to intervene to negate the need for a patient to become hospitalized. They study the data and then deploy doctors, nurses and health behavior specialists to the homes of Medicare Advantage beneficiaries. Clover Health is an insurance provider and a tech-services company with a vested interest in keeping patients out of the hospital and reducing not only wasted resources but the amount of money claimed under Medicare.

Andrew Toy, CEO, and Co-Founder of Clover Health explains how analyzing the healthcare data requires new methods that go far beyond what has been available in the past and present, and can’t currently help us glean the insights necessary to progress. Numerous studies have identified clinical interventions that can be conducted to prevent hospitalizations. These include new ways to track symptoms and mental health status changes, breathing changes, blood pressure, blood sugar, water retention, and neurological changes, allowing patients to make lifestyle and/or medication changes to alleviate issues before the need for hospitalization.

Originally posted by Forbes: https://www.forbes.com/sites/brucelee/2019/03/27/how-machine-learning-can-help-prevent-hospitalizations/#47ff6cbc7077

Start Your Infrastructure Assessment Today!

An in-depth assessment of virtual or on-prem infrastructure in less than 3 weeks. We apply a standard, predictable approach to make the process quick and practical while minimizing risk.

Take The First Step In Future-Proofing Now!
2019-04-02T16:25:44+00:00