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The Case for Predictive Analytics

By Joe Stone on Thu, Apr 25, 2019 @ 10:02 AM

iStock_000004644867_SmallHealthcare and post-acute organizations are all evolving technologically on their own timelines. Some are already using big data and reaping the benefits of basic analytics. Still others are now beginning to investigate the area of predictive analytics, which estimate the likelihood of a future outcome based on patterns in historical data. 

For example, predictive analytics can warn providers when a patient’s risk factors indicate a high likelihood for readmission within a 30-day window. This kind of “actionable intelligence” helps contribute to improved clinical outcomes (and avoid related penalties). And, it's just one example recently cited in 10 High-Value Use Cases for Predictive Analytics in Healthcare.

 

 

 

 

 

 

 

 

Topics: data-driven decisions, resident telehealth, predictive analytics, May 15 webinar, stop and watch, improve patient care, reduce readmission, Health Numeric, remote patient monitoring, Stop & Watch

Cheryl Field quoted in recent McKnight's operator data article

By Prime Care Tech Marketing on Wed, Apr 17, 2019 @ 02:41 PM

Who's the boss

A recent McKnight's article suggests, As volume of data collected rises, operators must determine who’s the bossOur Chief Product Office, Cheryl Field, is quoted as follows:

“Everyone is using data today to drive decisions and nursing home staff continue to struggle with just the language of analytics,” says Field. "With so much emphasis today on outcomes and resident care, quality assurance committees are a logical place for control to be centered," she adds. 

Read the full article here.

Topics: data-driven decisions, LTC facility data, operational efficiency, operator data, predictive analytics, predicting outcomes, quality assurance team

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