The Future of Public Health Informatics: Alternative Scenarios and Recommended Strategies

Background: In October 2013, the Public Health Informatics Institute (PHII) and Institute for Alternative Futures (IAF) convened a multidisciplinary group of experts to evaluate forces shaping public health informatics (PHI) in the United States, with the aim of identifying upcoming challenges and opportunities. The PHI workshop was funded by the Robert Wood Johnson Foundation as part of its larger strategic planning process for public health and primary care. Workshop Context: During the two-day workshop, nine experts from the public and private sectors analyzed and discussed the implications of four scenarios regarding the United States economy, health care system, information technology (IT) sector, and their potential impacts on public health in the next 10 years, by 2023. Workshop participants considered the potential role of the public health sector in addressing population health challenges in each scenario, and then identified specific informatics goals and strategies needed for the sector to succeed in this role. Recommendations and Conclusion: Participants developed recommendations for the public health informatics field and for public health overall in the coming decade. These included the need to rely more heavily on intersectoral collaborations across public and private sectors, to improve data infrastructure and workforce capacity at all levels of the public health enterprise, to expand the evidence base regarding effectiveness of informatics-based public health initiatives, and to communicate strategically with elected officials and other key stakeholders regarding the potential for informatics-based solutions to have an impact on population health.

[1]  D. Koo,et al.  Public health surveillance workforce of the future. , 2012, MMWR supplements.

[2]  W. Yasnoff,et al.  Public Health Informatics and Information Systems , 2003, Health Informatics.

[3]  Partnerships among community development, public health, and health care could improve the well-being of low-income people. , 2011, Health affairs.

[4]  Charles P. Friedman,et al.  What informatics is and isn't , 2013, J. Am. Medical Informatics Assoc..

[5]  Abigail A. Schachter,et al.  Data Governance and Data Sharing Agreements for Community-Wide Health Information Exchange: Lessons from the Beacon Communities , 2014, EGEMS.

[6]  M. Edmunds Governmental and Legislative Context of Informatics , 2014 .

[7]  L. Curry The Future of the Public's Health in the 21st Century , 2005 .

[8]  Douglas B. McCarthy,et al.  Learning from Health Information Exchange Technical Architecture and Implementation in Seven Beacon Communities , 2014, EGEMS.

[9]  D. Berwick,et al.  The triple aim: care, health, and cost. , 2008, Health affairs.

[10]  Joshua C Rubin,et al.  Weaving together a healthcare improvement tapestry. Learning health system brings together health data stakeholders to share knowledge and improve health. , 2014, Journal of AHIMA.

[11]  Thomas R Frieden,et al.  The Future of Public Health , 2015 .

[12]  Arvela Heider,et al.  Developing a Communitywide Electronic Health Record Disease Registry in Primary Care Practices: Lessons Learned from the Western New York Beacon Community , 2014, EGEMS.

[13]  Guido Reger,et al.  Advantages and Disadvantages of Scenario Approaches for Strategic Foresight , 2005 .

[14]  Glen P. Mays,et al.  For the Public's Health: the Role of Measurement in Action and Accountability , 2010 .

[15]  Edm Forum,et al.  Informatics Tools and Approaches To Facilitate the Use of Electronic Data for CER, PCOR, and QI: Resources Developed by the PROSPECT, DRN, and Enhanced Registry Projects , 2013 .

[16]  R. Brownson,et al.  Evidence-based public health: a fundamental concept for public health practice. , 2009, Annual review of public health.

[17]  C. Hanson Healthcare Informatics , 2005 .

[18]  Thomas G. Savel,et al.  The role of public health informatics in enhancing public health surveillance. , 2012, MMWR supplements.

[19]  William R. Hersh,et al.  BMC Medical Informatics and Decision Making , 2009 .