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Cutting Red Tape with Real-Time Data

Amitech Solutions

Welcome to the latest #DataRX Report, a weekly digest of interesting news and trending topics in the healthcare industry. Every Friday we're pulling together the best articles and insights to keep payors and providers informed, engaged and up to date on the headlines that are impacting the industry. 

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CVS Health Cuts Red Tape with Real-Time Prescription Cost Data

Access to real-time data at the point of the care is one of healthcare's holy grails. Likewise, the burden of admin work is one of provider's biggest gripes. CVS Health is taking a bite out of both with a move to make real-time prescription benefit data a reality. 

Prescription for Payors

shutterstock_747634549.jpgWhy Your Doctor’s Computer Is So Clunky                    
EHRs are a fact of life for healthcare providers in the US. And for the most part, they’re not happy about it. Here’s a look at some of the backstage actors you can blame for the bad blood.   
shutterstock_98373224-1.jpgThe Age of the Data Connoisseur                    
How accurate is the old saying, “You are what you eat?” Our very own, Paul Boal has some insight.
shutterstock_387872788-1.jpgInteroperability Rising to the Top 
Interoperability has been making headlines recently? Here’s a little taste of what you might have missed and why we think it’s time to pay attention!

Prescription for Providers

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Making Better Use of Health Care Data                         
“While the Sanford data collaborations are young, we are already seeing results that have the potential to improve the delivery of value in health care.” How is Sanford Health making better use of healthcare data?

 

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Uber offers providers, patients new Uber Health transportation app and dashboard                         
As it becomes clearer that social determinants of health are a bigger deal than the industry has been willing to recognize, the business world is stepping up to the plate.

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EHR data helps predict opioid use                               
A prediction model utilizing EHR data could help providers identify patients in the hospital at the highest risk of progressing to chronic opioid use after they are discharged.