Literature DB >> 19276005

Collecting and sharing data for population health: a new paradigm.

Carol C Diamond1, Farzad Mostashari, Clay Shirky.   

Abstract

Health information technology (IT) has great potential to transform health care and inform population health goals in clinical research, quality measurement, and public safety. To fully realize the benefits of health IT for population health, we must focus on new models that maximize efficiency, encourage rapid learning, and protect patients' privacy. In this paper we explore the advantages of a networked model for analyzing population health information, providing several examples. Although broadening the use of networked models is challenging, the societal benefits of a networked model merit continued exploration and the development of workable solutions.

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Year:  2009        PMID: 19276005     DOI: 10.1377/hlthaff.28.2.454

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  34 in total

1.  The Hub Population Health System: distributed ad hoc queries and alerts.

Authors:  Michael D Buck; Sheila Anane; John Taverna; Sam Amirfar; Remle Stubbs-Dame; Jesse Singer
Journal:  J Am Med Inform Assoc       Date:  2011-11-09       Impact factor: 4.497

2.  Multiple chronic conditions and disabilities: implications for health services research and data demands.

Authors:  Lisa I Iezzoni
Journal:  Health Serv Res       Date:  2010-08-02       Impact factor: 3.402

3.  Data governance and stewardship: designing data stewardship entities and advancing data access.

Authors:  Sara Rosenbaum
Journal:  Health Serv Res       Date:  2010-08-02       Impact factor: 3.402

4.  The population health record: concepts, definition, design, and implementation.

Authors:  Daniel J Friedman; R Gibson Parrish
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

5.  Geographic variation in ambulatory electronic health record adoption: implications for underserved communities.

Authors:  Jennifer King; Michael F Furukawa; Melinda B Buntin
Journal:  Health Serv Res       Date:  2013-06-26       Impact factor: 3.402

6.  Implementing partnership-driven clinical federated electronic health record data sharing networks.

Authors:  Kari A Stephens; Nicholas Anderson; Ching-Ping Lin; Hossein Estiri
Journal:  Int J Med Inform       Date:  2016-06-01       Impact factor: 4.046

7.  Using Monte Carlo/Gaussian Based Small Area Estimates to Predict Where Medicaid Patients Reside.

Authors:  Jess J Behrens; Xuejin Wen; Satyender Goel; Jing Zhou; Lina Fu; Abel N Kho
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

8.  International society for disease surveillance conference 2011: building the future of public health surveillance.

Authors:  Daniel B Neill; Karl A Soetebier
Journal:  Emerg Health Threats J       Date:  2011-12-06

9.  Tracking the delivery of prevention-oriented care among primary care providers who have adopted electronic health records.

Authors:  Samantha F De Leon; Sarah C Shih
Journal:  J Am Med Inform Assoc       Date:  2011-08-19       Impact factor: 4.497

10.  Assessing the Reliability of Performing Citywide Chronic Disease Surveillance Using Emergency Department Data from Sentinel Hospitals.

Authors:  David C Lee; Jordan L Swartz; Christian A Koziatek; Andrew J Vinson; Jessica K Athens; Stella S Yi
Journal:  Popul Health Manag       Date:  2017-03-24       Impact factor: 2.459

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