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DOI: 10.1055/s-0042-1743242
A Data-Driven Assessment of the U.S. Health Informatics Programs and Job Market
Funding None.Abstract
Background Health Informatics (HI) is an interdisciplinary field, integrating health sciences, computer science, information science, and cognitive science to assist health information management, analysis, and utilization. As the HI field is broad, it is impossible that a student will be able to master all the diverse HI topics. Thus, it is important to train the HI students based on the offering of the various HI programs and needs of the current market. This project will study the U.S. HI programs, training materials, HI job market, the skillset required by the employers, competencies taught in HI programs, and comparisons between them.
Methods We collected the training information for the 238 U.S. universities that offered MS, PhD, or postbaccalaureate certificate programs in HI or related professions. Next, we explored the HI job market by randomly checking 200 jobs and their required skillsets and domain knowledge. Then, we compared these skillsets with those offered by the HI programs and identified the gaps and overlaps for program enhancements.
Results Among the 238 U.S. universities, 94 universities offer HI programs: 92 universities with MS (Master of Science), 43 with doctoral, 42 with both MS and doctoral, and 54 with certificate programs. The most offered HI courses are related to practicum, data analytics, research, and ethics. For the HI job postings, the three most technical skillsets required in HI job posting are data analysis, database management, and knowledge of electronic health records. However, only 58% of HI programs offer courses in database management and analytics. Compared with American Medical Informatics Association's recommended 10 fundamental domains, the HI curriculum generally lacks training in socio-technical systems, social-behavioral aspects of health, and interprofessional collaborative practice.
Conclusion There are gaps between the industry expectations of HI and the training received in HI programs. Advance level technical courses are needed in HI programs to meet industry expectations.
Protection of Human and Animal Subjects
Human and/or animal subjects were not included in the project. Since this study utilized publicly available data and no protected human subject, Institutional Review Board approval is not required for the study.
Publication History
Received: 07 July 2021
Accepted: 04 January 2022
Article published online:
30 March 2022
© 2022. Thieme. All rights reserved.
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References
- 1 Saba V, McCormick K. Essentials of Nursing Informatics. 6th ed.. New York, NY: McGraw-Hill; 2015
- 2 Wan T, Gurupur V. Understanding the difference between healthcare informatics and healthcare data analytics in the present state of health care management. Health Serv Res Manag Epidemiol 2020; 7: 2333392820952668
- 3 Fridsma DB. The scope of health informatics and the Advanced Health Informatics Certification. J Am Med Inform Assoc 2016; 23 (04) 855-856
- 4 McLane TM, Hoyt R, Hodge C, Weinfurter E, Reardon EE, Monsen KA. What industry wants: an empirical analysis of health informatics job postings. Appl Clin Inform 2021; 12 (02) 285-292
- 5 Miller SD, Stablein P, Syed J. et al. Evaluation of a training program to improve organizational capacity for health systems analytics. Appl Clin Inform 2019; 10 (04) 634-642
- 6 AMIA. FINAL AMIA health informatics core competencies for CAHIIM. 2017 . Accessed January 25, 2022 at https://www.amia.org/sites/default/files/AMIA-Health-Informatics-Core-Competencies-for-CAHIIM.PDF
- 7 Tremblay MC, Deckard GJ, Klein R. Health informatics and analytics - building a program to integrate business analytics across clinical and administrative disciplines. J Am Med Inform Assoc 2016; 23 (04) 824-828
- 8 Data.World. University rankings. 2017 . Published 2016. Accessed December 14, 2020 at: https://data.world/education/university-rankings-2017
- 9 Commission on Accreditation for Health Informatics and Information Management Education. HI and HIM Accreditation. Accessed January 25, 2022 at: https://www.cahiim.org/accreditation/hi-and-him-accreditation
- 10 Indeed. Find jobs. Accessed January 25, 2022 at: https://www.indeed.com/?from=gnav-homepage
- 11 Google. Google Jobs. Accessed January 25, 2022 at: https://www.google.com/search?q=health+informatics+jobs&rlz=1C1CHBF_enUS914US914&ei=lM6CYcfvNMaTxc8P1PaX4AU&oq=health+informatics+jobs&gs_lcp=Cgdnd3Mtd2l6EAMyCwgAEIAEELEDEMkDMgUIABCSAzIFCAAQgAQyBQgAEIAEMgUIABCABDIFCAAQgAQyBQgAEIAEMgUIABCABDIFCAAQgAQyBQgAE
- 12 Commission on Accreditation for Health Informatics and Information Management Education. Program directory. Published 2020. Accessed January 25, 2022 at: https://www.cahiim.org/programs/program-directory
- 13 Microsoft. Microsoft Excel. Published online 2021
- 14 Zygomatic. Wordcloud generator. Accessed January 25, 2022 at: https://www.wordclouds.com/
- 15 Microsoft. Microsoft Power BI Desktop. Published online 2021
- 16 Pennic J. Medscape EHR REPORT: top 5 most widely used EHRs by physicians. Published. 2019 . Accessed February 22, 2021 at: https://hitconsultant.net/2016/08/29/medscape-ehr-report-2016-10-things
- 17 Health IT. What is an electronic health record (EHR)? Published. 2019 . Accessed February 22, 2021 at: https://www.healthit.gov/faq/what-electronic-health-record-ehr
- 18 Westland J. Project manager job description. Published. 2020 . Accessed February 22, 2021 at: https://www.projectmanager.com/blog/project-manager-job-description
- 19 Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng 2018; 2 (10) 719-731
- 20 Batra S, Tyagi C. Comparative analysis of relational and graph databases. Int J Soft Comput Eng. 2012; 2 (02) 1-4
- 21 Moniruzzaman ABM, Hossain SA. NoSQL database: new era of databases for big data analytics - classification, characteristics and comparison. Int J Database Theory Appl. 2013; 6 (04) 1-13
- 22 Fang H. Managing data lakes in big data era: What's a data lake and why has it became popular in data management ecosystem. In: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). 2015: 820-824
- 23 Hylock R, Harris ST. Healthcare database management for health informatics and information management students: challenges and instruction strategies. Educ Perspect Heal Inf Manag 2016; April: 1-25
- 24 Cohen EB, Science I, Kozminski L. GROUP rationale for the IRMA/DAMA 2000 Model. Published online 2001:612–617. Accessed January 25, 2022 at: https://www.irma-international.org/proceeding-paper/rationale-irma-dama-2000-model/31683/
- 25 Association for Computing Machinery. Computing curricula: the overview report cybersecurity. Published. 2020 . Accessed January 25, 2022 at: https://www.acm.org/education/curricula-recommendations
- 26 Cooke N, Hilton M. eds. Enhancing the Effectiveness Of Team Science. Washington, DC: The National Academies Press; 2015
- 27 Commission on Accreditation for Health Informatics and Information Management Education. 2017 Health Informatics Accreditation Standards. Published 2017. Accessed January 25, 2022 at: https://www.cahiim.org/accreditation/health-informatics/accreditation-standards
- 28 The American Health Information Management Association Education. 2018 AHIMA health information management curricula competencies. Accessed January 25, 2022 at https://www.ahima.org/him-curricula/
- 29 Kannry J, Smith J, Mohan V, Levy B, Finnell J, Lehmann CU. Clinical Informatics Program Directors Group-AMIA. Policy statement on clinical informatics fellowships and the future of informatics-driven medicine. Appl Clin Inform 2020; 11 (05) 710-713