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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

Spotlight on March's Business Intelligence Blogs

By Prime Care Tech Marketing on Tue, Mar 29, 2016 @ 12:00 PM

Business-Intelligence-Spotlight-320x221.jpgIn this month’s BI-focused blog postings, we explored the process of decision making, PBJ compliance reporting automation, using BI to help providers beneficially get the attention of ACOs, and, along that same line, establishing and strengthening relationships with key referral sources.

Data-driven decisions – an art and a science?

With the right information, you, the provider, can make the right decisions, right now! But even if the information is right, timely, relevant, and rendered actionable, making “the right decision” is a skill. But is decision making an art or a science? And what role does BI play? Read on.

It’s about time - Providers should automate PBJ reporting

Like it or not, Payroll-based Journal reporting is just around the corner and will become a routine requirement for all SNF providers. And it comes with a kick in CY 2017 – a Five Star Rating kick. How can automation expedite the monitoring and reporting process? Find out.

How Business Intelligence can help execs stand out in an ACO crowd

In our recent blogs, we’ve highlighted how Business Intelligence (BI) can help providers more effectively tell their stories to stakeholders, investors, and referral sources. However, providers have another key audience to whom they could effectively present data-driven demonstrations of value and quality – ACOs. Learn more.

Business Intelligence can help demonstrate value to referral sources

As the reimbursement world changes from fee-for-service to pay-for-performance models, demonstrating value is key. To be able to effectively demonstrate value compliant with payment model expectations, providers need to be able to know how well their facilities are performing today. The technology needed to effectively identify and communicate such value is available through BI. Discover how.

 

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Topics: ACOs, Using Business Intelligence, decision making, PBJ, data-driven decisions, data-driven information, payroll-based journal reporting

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