Electronic Health Record Graphic

Meaningful Use: Stage 3 Proposed Rule


Mical DeBrow, PhD RN Director of Health Analytics and Business Intelligence G2 Works On March 20, 2015, the Centers for Medicare & Medicaid Services (CMS) announced the release of the proposed Meaningful Use Stage 3 rules for the Medicare and Medicaid Electronic Health Records (EHRs) Incentive Programs and 2015 Edition Health IT Certification Criteria.   


It’s Official: Data Science is Still Sexy


Mical DeBrow, PhD RN Director of Health Analytics and Business Intelligence G2 Works The U.S. has named Dr. Dhanurjay “DJ” Patil as the nation’s first-ever chief data scientist. U.S. Chief Technology Officer Megan Smith made the announcement in a recent blog, saying, “President Obama has prioritized bringing top technical talent like DJ into the federal […]


Data Analytics in Healthcare: What’s the Holdup?


The field of big data analytics is booming. No surprise there. For years now, we’ve been hearing case after case of organizations in a range of industries—from auto manufacturing and high-tech to retail and social media—successfully leveraging analytics to monetize complex data sets, gain competitive advantage and spur innovation.

Business woman using an iPad

Healthcare BYOD Challenges


Keeping data safe while accessing information from the device of your choice is a complex and potentially dangerous endeavor The consumerization of IT and the bring-your-own-device (BYOD) movement in the workplace has proven to be extremely beneficial for the healthcare industry, allowing providers to access patient data, billing information, clinical trial data and employee information […]

Nurse Using Tablet Computer

HIMSS14: Clinton Lauds EHRs, Underscores Data-Driven Decisions


During the Healthcare Information and Management Systems Society’s annual conference on Wednesday, Hillary Rodham Clinton underscored the importance of electronic health records, the changing responsibilities of the health IT industry and the need for health care decisions and policy to be guided by strong data, Health Data Management reports (Kalish, Health Data Management, 2/26).