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IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

with Shawn Moore, Solodev
In this interview, Shawn Moore,...

Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

On the surface, mainframe architecture seems relatively simple: A...

Implications of EHR on Medical Research

May 13, 2011 No Comments

One of the major purposes of the federal program for the meaningful use of electronic health records (EHRs) is to produce improved clinical outcomes for patients. Providing patients access to their personal health information and having that information available to their families, caregivers and healthcare providers anywhere at any time is another core requirement of the this program.

According to 2011 Leadership Survey produced by the Healthcare Information and Management Systems Society (HIMSS), 50 percent of healthcare IT executives identified “meaningful use” criteria as their top priority for the next two years.

It’s clear that EHR technology will help healthcare organizations improve patient care and reduce errors, but it also serves another important purpose: EHRs represent a tremendous opportunity for researchers to apply analytics and hypothetical queries against huge datasets representing thousands of real-world patients.

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