Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States
11 September 2017 (online)
Objectives: To survey advances in public and population health and epidemiology informatics over the past 18 months.
Methods: We conducted a review of English-language research works conducted in the domain of public and population health informatics and published in MEDLINE or Web of Science between January 2015 and June 2016 where information technology or informatics was a primary subject or main component of the study methodology. Selected articles were presented using a thematic analysis based on the 2011 American Medical Informatics Association (AMIA) Public Health Informatics Agenda tracks as a typology.
Results: Results are given within the context developed by Dixon et al., (2015) and key themes from the 2011 AMIA Public Health Informatics Agenda. Advances are presented within a socio-technical infrastructure undergirded by a trained, competent public health workforce, systems development to meet the business needs of the practice field, and research that evaluates whether those needs are adequately met. The ability to support and grow the infrastructure depends on financial sustainability.
Conclusions: The fields of public health and population health informatics continue to grow, with the most notable developments focused on surveillance, workforce development, and linking to or providing clinical services, which encompassed population health informatics advances. Very few advances addressed the need to improve communication, coordination, and consistency with the field of informatics itself, as identified in the AMIA agenda. This will likely result in the persistence of the silos of public health information systems that currently exist. Future research activities need to aim toward a holistic approach of informatics across the enterprise.
- 1 Yasnoff W, O’Carroll PW, Koo D, Linkins RW, Kilborne EM. Public health informatics: improving and transforming public health in the information age. J Public Health Manag Pract 2000; 06 (06) 67-75.
- 2 Magnuson JA, Fu P. editors. Public health informatics and information systems. 2nd edition. London: Springer; 2014
- 3 Kharrazi H, Lasser EC, Yasnoff WA, Loonsk J, Advani A, Lehmann HP. et al. A proposed national research and development agenda for population health informatics: summary recommendations from a National Expert Workshop. J Am Med Inform Assoc. 2016 Mar 27.
- 4 Dixon BE, Kharrazi H, Lehmann HP. Public health and epidemiology informatics: recent research and trends in the United States. Yearb Med Inform 2015; Aug 13; 10 (01) 199-206.
- 5 Lamy JB, Seroussi B, Griffon N, Kerdelhue G, Jaulent MC, Bouaud J. Toward a formalization of the process to select IMIA Yearbook best papers. Methods Inf Med 2015; 54 (02) 135-44.
- 6 Yasnoff W, Overhage JM, Humphreys BL, LaVenture MA. A national agenda for public health informatics: summarized recommendations from the 2001 AMIA Spring Congress. J Am Med Inform Assoc 2001; 08 (06) 535-45.
- 7 Massoudi BL, Goodman KW, Gotham IJ, Holmes JH, Lang L, Miner K. et al. An informatics agenda for public health: summarized recommendations from the 2011 AMIA PHI Conference. J Am Med Inform Assoc 2012; Sep-Oct; 19 (05) 688-95.
- 8 Chester K, Massoudi BL, Shah GH. Control of the public health IT physical infrastructure: Findings From the 2015 Informatics Capacity and Needs Assessment Survey. J Public Health Manag Pract. 2016 Nov-Dec;22 Suppl 6, Public Health Informatics: S13-S17.
- 9 Massoudi BL, Chester K, Shah GH. Public health staff development needs in informatics: findings from a national survey of local health departments. J Public Health Manag Pract 2016; Nov-Dec;22 Suppl 6, Public Health Informatics: S58-S62.
- 10 Drezner K, McKeown L, Shah GH. Assessing Skills and Capacity for Informatics: Activities Most Commonly Performed by or for Local Health Departments. J Public Health Manag Pract 2016; Nov-Dec;22 Suppl 6, Public Health Informatics S51-S57.
- 11 Shah GH, Leider JP, Castrucci BC, Williams KS, Luo H. Characteristics of local health departments associated with implementation of electronic health records and other informatics systems. Public Health Rep 2016; Mar-Apr; 131 (02) 272-82.
- 12 Williams KS, Shah GH. Electronic health records and meaningful use in local health departments: updates from the 2015 NACCHO Informatics Assessment Survey. J Public Health Manag Pract 2016; Nov-Dec;22 Suppl 6, Public Health Informatics: S27-S33.
- 13 Shah GH, Vest JR, Lovelace K, McCullough JM. Local health departments’ partners and challenges in electronic exchange of health information. J Public Health Manag Pract 2016; Nov-Dec;22 Suppl 6, Public Health Informatics: S44-S50.
- 14 Gibson PJ, Shah GH, Streichert LC, Verchick L. Urgent challenges for local public health informatics. J Public Health Manag Pract 2016; Nov-Dec;22 Suppl 6, Public Health Informatics: S6-S8.
- 15 Turner AM, Brownstein MK, Cole K, Karasz H, Kirchhoff K. Modeling workflow to design machine translation applications for public health practice. J Biomed Inform 2015; Feb; 53: 136-46.
- 16 Turner AM, Dew KN, Desai L, Martin N, Kirchhoff K. Machine translation of public health materials from English to Chinese: a feasibility study. JMIR Public Health Surveill 2015; Jul-Dec; 01 (02) e17.
- 17 Pang PC, Chang S, Verspoor K, Pearce J. Designing Health Websites Based on Users’ Web-Based Information-Seeking Behaviors: A Mixed-Method Observational Study. J Med Internet Res 2016; Jun 06; 18 (06) e145.
- 18 Martin DW, Lowery NE, Brand B, Gold R, Horlick G. Immunization information systems: a decade of progress in law and policy. J Public Health Manag Pract 2015; May-Jun; 21 (03) 296-303.
- 19 Groom H, Hopkins DP, Pabst LJ, Murphy JMorgan, Patel M, Calonge N. et al. Immunization information systems to increase vaccination rates: a community guide systematic review. J Public Health Manag Pract 2015; May-Jun; 21 (03) 227-48.
- 20 Metroka AE, Papadouka V, Ternier A, Zucker JR. Effects of Health Level 7 Messaging on Data Quality in New York City’s Immunization Information System, 2014. Public Health Rep 2016; Jul-Aug; 131 (04) 583-7.
- 21 Duncan J, Eilbeck K, Narus SP, Clyde S, Thornton S, Staes C. Building an ontology for identity resolution in healthcare and public health. Online J Public Health Inform 2015; 07 (02) e219.
- 22 Duncan J, Narus SP, Clyde S, Eilbeck K, Thornton S, Staes C. Birth of identity: understanding changes to birth certificates and their value for identity resolution. J Am Med Inform Assoc 2015; Apr; 22 E1 E120-E9.
- 23 Ahmed SS, Oviedo-Orta E, Mekaru SR, Freifeld CC, Tougas G, Brownstein JS. Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology. PLoS One 2015; 10 (05) e0127406.
- 24 Allen C, Tsou MH, Aslam A, Nagel A, Gawron JM. Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza. PLoS One 2016; 11 (07) e0157734.
- 25 Hripcsak G, Forrest CB, Brennan PF, Stead WW. Informatics to support the IOM social and behavioral domains and measures. J Am Med Inform Assoc 2015; Jul; 22 (04) 921-4.
- 26 Bugeja L, Ibrahim JE, Ferrah N, Murphy B, Willoughby M, Ranson D. The utility of medico-legal databases for public health research: a systematic review of peer-reviewed publications using the National Coronial Information System. Health Res Policy Syst. 2016 Apr 12; 14. 28.
- 27 Jafarpour N, Izadi M, Precup D, Buckeridge DL. Quantifying the determinants of outbreak detection performance through simulation and machine learning. J Biomed Inform 2015; Feb; 53: 180-7.
- 28 Poulymenopoulou M, Papakonstantinou D, Malamateniou F, Vassilacopoulos G. A health analytics semantic ETL service for obesity surveillance. Stud Health Technol Inform 2015; 210: 840-4.
- 29 Cooper GF, Villamarin R, Rich FCTsui, Millett N, Espino JU, Wagner MM. A method for detecting and characterizing outbreaks of infectious disease from clinical reports. J Biomed Inform 2015; Feb; 53: 15-26.
- 30 Smith CM, Hayward AC. DotMapper: an open source tool for creating interactive disease point maps. BMC Infect Dis 2016; Apr 12; 16: 145.
- 31 Krause DD. Data lakes and data visualization: an innovative approach to address the challenges of access to health care in Mississippi. Online J Public Health Inform 2015; 07 (03) e225.
- 32 Curtis L, Brown J, Platt R. Four Health Data Networks Illustrate The Potential For A Shared National Multipurpose Big-Data Network. Health Aff 2014; Jul; 33 (07) 1178-1186.
- 33 Fernandez-Luque L, Bau T. Health and social media: perfect storm of information. Healthc Inform Res 2015; Apr; 21 (02) 67-73.
- 34 Wilson K, Atkinson KM, Westeinde J. Apps for immunization: Leveraging mobile devices to place the individual at the center of care. Hum Vaccin Immunother 2015; 11 (10) 2395-9.
- 35 Fung IC, Tse ZT, Fu KW. The use of social media in public health surveillance. Western Pac Surveill Response J 2015; Apr-Jun; 06 (02) 3-6.
- 36 Yeager V, Cooper Jr. GP, Burkle Jr. FM, Subbarao I. Twitter as a Potential Disaster Risk Reduction Tool. Part IV: Competency-based Education and Training Guidelines to Promote Community Resiliency. PLoS Curr. 2015 Jun 29;7.
- 37 Casey JA, Schwartz BS, Stewart WF, Adler NE. Using electronic health records for population health research: A review of methods and applications. Annu Rev Public Health 2016; 37: 61-81.
- 38 Roosan D, Del Fiol G, Butler J, Livnat Y, Mayer J, Samore M. et al. Feasibility of population health analytics and data visualization for decision support in the infectious diseases domain: A pilot study. Appl Clin Inform 2016; 07 (02) 604-23.
- 39 Dixon BE, McFarlane TD, Dearth S, Grannis SJ, Gibson PJ. Characterizing informatics roles and needs of public health workers: results from the public health workforce interests and needs survey. J Public Health Manag Pract. 2015 Nov-Dec;21 Suppl 6: S130-40.
- 40 Shah GH, Newell B, Whitworth RE. Health departments’ engagement in emergency preparedness activities: the influence of health informatics capacity. Int J Health Policy Manag 2016; Apr 30; 05 (10) 575-82.
- 41 Brownson RC, Samet JM, Chavez GF, Davies MM, Galea S, Hiatt RA. et al. Charting a future for epidemiologic training. Ann Epidemiol 2015; Jun; 25 (06) 458-65.
- 42 Yu X, Xie Y, Pan X, Mayfield-Johnson S, Whipple J, Azadbakht E. Developing an evidence-based public health informatics course. J Med Libr Assoc 2015; Oct; 103 (04) 194-7.
- 43 Gray K. Public health platforms: an emerging informatics approach to health professional learning and development. J Public Health Res 2016; Apr 26; 05 (01) 665.
- 44 Centers for Disease Control and Prevention. Million Hearts. Atlanta, GA: Centers for Disease Control and Prevention. n.d. [cited 2016 December 11]; Available from: http://millionhearts.hhs.gov
- 45 Gadd CS, Williamson JJ, Steen EB, Andriole KP, Delaney C, Gumpper K. et al. Eligibility requirements for advanced health informatics certification. J Am Med Inform Assoc [Article] 2016; Jul; 23 (04) 851-4.
- 46 Gadd CS, Williamson JJ, Steen EB, Fridsma DB. Creating advanced health informatics certification. J Am Med Inform Assoc 2016; Jul; 23 (04) 848-50.
- 47 Lamas E, Barh A, Brown D, Jaulent MC. Ethical, Legal and Social Issues related to the health data-warehouses: re-using health data in the research and public health research. Stud Health Technol Inform 2015; 210: 719-23.
- 48 LaVenture M, Brand B, Ross DA, Baker EL. Building an Informatics-Savvy Health Department II: Operations and Tactics. J Public Health Manag Pract 2015; Jan; 21 (01) 96-9.
- 49 Public Health Informatics Institute. Building an Informatics-Savvy Health Department. Decatur, GA: Public Health Informatics Institute; 2015 Jan; Available from: http://www.phii.org/infosavvy
- 50 Association of Schools and Programs of Public Health. MPH Core Competency Model. Washington, DC: Association of Schools and Programs of Public Health. n.d. [cited 2017 March 11]; Available from: http://www.aspph.org/educate/models/mph-competency-model/.
- 51 Dwan K, Gamble C, Williamson P, Kirkham J. the Reporting Bias Group. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias — An Updated Review. PLoS One 2013; Jul 5 08 (07) e66844.
- 52 Eysenbach G. Tackling Publication Bias and Selective Reporting in Health Informatics Research: Register your eHealth Trials in the International eHealth Studies Registry. J Med Internet Res 2004; 06 (03) e35.
- 53 Ammenworth E, de Keizer N. A Viewpoint on Evidence-based Health Informatics, Based on a Pilot Survey on Evaluation Studies in Health Care Informatics. J Am Med Inform Assoc 2007; 14: 368-71.
- 54 Vawdrey D, Hripczak G. Publication Bias in Clinical Trials of Electronic Health Records. J Biomed Inform 2013; Feb; 46 (01) 139-41.