Bloomberg Philanthropies, in partnership with the Australian government, is launching Data for Health, a $100 million initiative that will enable 20 low- and middle-income countries to vastly improve public health data collection.

With a timeline for value-based payment now in play, healthcare delivery organizations must start putting their data to good use.

Worcester, MA – A 4-year, $12 million national research project funded by the Agency for Healthcare Research and Quality (AHRQ) has surpassed its original goal, culminating in the establishment of the most comprehensive U.S. database on total hip and knee joint replacement patients and their surgical outcomes.

Carnegie Mellon University, the University of Pittsburgh and UPMC have come together to form the Pittsburgh Health Data Alliance. The collaboration will leverage big data to revolutionize healthcare and wellness using the massive amounts of data avaialble from EHRs, imaging, prescriptions, genomic profiles, insurance records and wearable devices, according to an announcement.

Chicago (March 16, 2015) – Apervita, Inc. (www.apervita.com), the fastest growing health analytics community, today announced the appointment of Tim Gustafson, M.D., as chief content officer. In his role, Dr. Gustafson will lead Apervita’s Author community and oversee the growth of content offered on Apervita’s market for health analytics, including, algorithms, measures, pathways, protocols and data focused on critical health areas, such as chronic disease management, preventable adverse events, readmissions, cancer, early warning, quality and safety.

Baystate Health has been working toward data liquidity and liberation as a critical pathway to successful population health management, said Joel Vengco, vice president and CIO, speaking during a webinar presented by the Institute for Health Technology Transformation.

Bipartisan legislation introduced by Senators Tammy Baldwin (D-Wisc.) and John Thune (R-S.D.) would increase the transparency of healthcare costs in Medicare.

Hospital administrative data contain information that may help emergency department (ED) staff identify populations at risk of experiencing a missed diagnosis of acute myocardial infarction (AMI).