Literature DB >> 27018264

A proposed national research and development agenda for population health informatics: summary recommendations from a national expert workshop.

Hadi Kharrazi1,2, Elyse C Lasser3, William A Yasnoff2,4, John Loonsk3, Aneel Advani3, Harold P Lehmann2, David C Chin3, Jonathan P Weiner3,2.   

Abstract

OBJECTIVE: The Johns Hopkins Center for Population Health IT hosted a 1-day symposium sponsored by the National Library of Medicine to help develop a national research and development (R&D) agenda for the emerging field of population health informatics (PopHI).
MATERIAL AND METHODS: The symposium provided a venue for national experts to brainstorm, identify, discuss, and prioritize the top challenges and opportunities in the PopHI field, as well as R&D areas to address these.
RESULTS: This manuscript summarizes the findings of the PopHI symposium. The symposium participants' recommendations have been categorized into 13 overarching themes, including policy alignment, data governance, sustainability and incentives, and standards/interoperability. DISCUSSION: The proposed consensus-based national agenda for PopHI consisted of 18 priority recommendations grouped into 4 broad goals: (1) Developing a standardized collaborative framework and infrastructure, (2) Advancing technical tools and methods, (3) Developing a scientific evidence and knowledge base, and (4) Developing an appropriate framework for policy, privacy, and sustainability. There was a substantial amount of agreement between all the participants on the challenges and opportunities for PopHI as well as on the actions that needed to be taken to address these.
CONCLUSION: PopHI is a rapidly growing field that has emerged to address the population dimension of the Triple Aim. The proposed PopHI R&D agenda is comprehensive and timely, but should be considered only a starting-point, given that ongoing developments in health policy, population health management, and informatics are very dynamic, suggesting that the agenda will require constant monitoring and updating.
© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  informatics agenda; population health informatics; public health informatics

Mesh:

Year:  2016        PMID: 27018264      PMCID: PMC5201177          DOI: 10.1093/jamia/ocv210

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  16 in total

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Authors: 
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8.  A framework for evaluating the formation, implementation, and performance of accountable care organizations.

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Authors:  Michael A Stoto
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2.  A Practitioner-Driven Research Agenda for Syndromic Surveillance.

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3.  Toward an Information Infrastructure for Global Health Improvement.

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4.  Developing Evidence-based Population Health Informatics curriculum: Integrating competency based model and job analysis.

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Review 5.  Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States.

Authors:  B L Massoudi; K G Chester
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6.  Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records.

Authors:  Tao Chen; Mark Dredze; Jonathan P Weiner; Hadi Kharrazi
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7.  Assessing the Impact of Body Mass Index Information on the Performance of Risk Adjustment Models in Predicting Health Care Costs and Utilization.

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Review 8.  Risk prediction and segmentation models used in the United States for assessing risk in whole populations: a critical literature review with implications for nurses' role in population health management.

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9.  A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland's All-Payer Global Budget.

Authors:  Elham Hatef; Hadi Kharrazi; Ed VanBaak; Marc Falcone; Lindsey Ferris; Kory Mertz; Chad Perman; Alice Bauman; Elyse C Lasser; Jonathan P Weiner
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10.  Forecasting the Maturation of Electronic Health Record Functions Among US Hospitals: Retrospective Analysis and Predictive Model.

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