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Data and Data Collection

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New York Builds System to Analyze Health Data by Region

May 1, 1999 | Program Result Report

From 1992 to 1997, the New York State (NYS) Department of Health (DOH), the designated lead agency for the InfoSHP project, sought to make permanent improvements to the state's health infrastructure, particularly in access to primary care.

Nicholas Christakis: Social Networks

January 29, 2013 | Grantee

Investigating how social network mapping could better our lives and improve our health.

Open mHealth

January 29, 2013 | Grantee

Breaking down barriers between health and technology by making sense of mobile health data.

New Denial and Disenrollment Coding Strategies to Drive State Enrollment Performance

October 30, 2012 | Issue Brief

Collecting, analyzing and using data to monitor enrollment and retention can be a powerful tool.

Editors and Researchers Beware

April 1, 2013 | Journal Article

Various methods of calculating eligibility rates in random digital dial (RDD) surveys lead to substantially different response rates.

Systematic Update of Computerized Physician Order Entry Order Sets to Improve Quality of Care

March 1, 2013 | Journal Article

Physician order sets require rigorous review and maintenance to ensure quality of care and safety.

Methods of Mortality Risk Adjustment in the NICU

March 1, 2013 | Journal Article

NICU mortality risk-adjustment scores vary widely by the data collected and the timing of collection.

Dynamic Social Networks Promote Cooperation in Experiments with Humans

November 29, 2011 | Journal Article

Frequently updating social networks can support cooperation in large groups.

Big Data and the Great Challenges of Health and Medicine

May 20, 2013 | Human Capital Blog Post

One of the themes of TEDMED 2013 was the creative and thoughtful use of big data and small data to improve health and health care.

Mandated Activities and Limited Decision-Making Authority Among Local Public Health Officals

December 19, 2012 | Journal Article

Study participants expressed a strong value for data and evidence, but faced challenges regarding their agencies' limited access to and capacity for interpreting data for decision-making.

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