CC BY-NC-ND 4.0 · Yearb Med Inform 2019; 28(01): 158-164
DOI: 10.1055/s-0039-1677909
Section 7: Consumer Health Informatics and Education
Survey
Georg Thieme Verlag KG Stuttgart

Essential Considerations for Successful Consumer Health Informatics Solutions

Nilmini Wickramasinghe
1   Swinburne University, Epworth HealthCare, Melbourne, Australia
2   Peter MacCallum, Melbourne, Australia
› Author Affiliations
Further Information

Publication History

Publication Date:
16 August 2019 (online)

Summary

Objectives: To present the breadth and depth of Consumer Health Informatics (CHI) initiatives and in particular, identify areas to further enhance such solutions with the incorporation of advances in artificial intelligence (AI).

Methods: A literature review was conducted. Inclusion criteria focused on barriers and facilitators as well as key milestones for CHI over the last 10 years. In addition, significant international initiatives in regions and /or countries and opportunities to incorporate the advances of AI also made up the inclusion criteria. Exclusion criteria included factors that made reach/range of solutions to individuals or groups of individuals less than 50 people. Journals in Medline were accessed as well as the grey literature.

Results: 200 papers were identified but this was narrowed to 25 due to repetitions and similarities of the types of solutions presented. From this, it was possible to identify key barriers and facilitators including: socio-political factors, financial factors, infrastructure, as well as levels of health literacy.

Conclusions: The relatively nascent domain of CHI has developed and is growing. Full benefits will only be realized when more precision solutions that incorporate AI advances will be designed. The example of RxPredict is provided as a case vignette to illustrate.

 
  • References

  • 1 Eysenbach G. Consumer Health Informatics. BMJ 2000; 320 (725l): l7l3-6
  • 2 Wickramasinghe N, Goldberg S. How M = EC2 in Healthcare. International Journal of Mobile Communications 2004; 2 (02) l40-56
  • 3 Wickramasinghe N, Troshani I, Tan J. Contemporary Consumer Health Informatics. New York: Springer; 2017. ISBN-13: 978-3319259710
  • 4 Geisler E, Wickramasinghe N. The Role and Use of Wireless Technology in the Management and Monitoring of Chronic Diseases. Washington D.C.; 2005
  • 5 Wickramasinghe N, Goldberg S, Bali R. Enabling Superior M-health Project Success: A tri-Country Validation. International Journal of Services and Standards 2008; 4 (01) 97-117
  • 6 Wickramasinghe N, John B, George J, Vogel D. Achieving Value-Based Care in Chronic Disease Management: The DiaMonD (diabetes monitoring device) Solution. JMIR Diabetes. In press 2019
  • 7 Centre for Diseases Control: http://www.cdc.gov/
  • 8 WHO: http://www.who.int/topics/diabetes_mellitus/en/
  • 9 Wickramasinghe N, Cole S, Kliman L, Vogel D, Goldberg S. Exploring the Possibility for a Pervasive Technology Solution to Facilitate Effective Diabetes Selfcare for Patients with GDM. Paper presented at 2014 ECIS, Tel Aviv; 2014
  • 10 Eysenbach G, Jadad AR. Evidence-based patient choice and consumer health informatics in the Internet age. J Med Internet Res 2001; 3 (02) E19
  • 11 Wickramasinghe N, Lamb R. Foucault’s Corollary: Agency Theory and the Economics of Self-Monitoring. International J Networking and Virtual Organisations (IJNVO) 2009; 6 (03) 225-58
  • 12 Lamb R, Kling R. Reconceptualizing Users as Social Actors in Information Systems Research. MIS Q 2003; 27 (02) 197-236
  • 13 Goh JM, Gao G, Agarwal R. The Creation of Social Value: Can an Online Health Community Reduce Rural-Urban Health Disparities?. MIS Q 2016; 40 (01) 247-63
  • 14 Petty R, Cacioppo J. Communication and persuasion: central and peripheral routes to attitude change. New York: Springer-Verlag; 1986
  • 15 Wickramasinghe N, Troshani I, Hill SR, Hague W, Goldberg S. A transaction cost assessment of a pervasive technology solution for gestational diabetes. Int J Healthc Inf Syst Inform 2011; 6 (04) 60-76
  • 16 Wickramasinghe N, Schaffer J. Realizing value driven e-health in healthcare. IBM center for the Business of Government; 2010
  • 17 Porter M, Teisberg E. Redefining Health Care. Boston: Harvard Business Review Press; 2009
  • 18 Bracy C. The healthcare value creation equation. http://www.aaos.org/AAOSNow/2016/Apr/Managing/managing5/ [Accessed Apr 1 2016]
  • 19 Wickramasinghe N. The Digital Divide forthcoming. In: Wickramasinghe N, Bodendorf F. editors. Sensors and analytics for superior healthcare delivery. New York: Springer; 2019
  • 20 Gustafson DH, Hawkins RP, Boberg EW, McTavish F, Owens B, Wise M. , et al. CHESS: 10 years of research and development in consumer health informatics for broad populations, including the underserved. In: Consumer Health Informatics. New York, NY: Springer; 2005: 239-47
  • 21 Ho J. Consumer health informatics. Stud Health Technol Inform 2010; 151: 185-94
  • 22 Lewis D, Chang BL, Friedman CP. Consumer health informatics. In: Consumer Health Informatics. New York, NY: Springer; 2005: 1-7
  • 23 Magrabi F, Aarts J, Nohr C, Baker M, Harrison S, Pelayo S. , et al. A comparative review of patient safety initiatives for national health information technology. Int J Med Inform 2013; 82 (05) e139-e148
  • 24 Nelson R, Staggers N. Health Informatics-E-Book: An Interprofessional Approach. Elsevier Health Sciences; 2016
  • 25 Ricciardi L, Mostashari F, Murphy J, Daniel JG, Siminerio EP. A national action plan to support consumer engagement via e-health. Health Aff (Millwood) 2013; 32 (02) 376-84
  • 26 Wetter T. Consumer Health Informatics. Springer; 2012
  • 27 Muhammed I, Wickramasinghe N. MyHealth Record: An Evaluation of the Journey to Date. Heidelberg: Heidelberg Press; 2017
  • 28 Wickramasinghe N, Shuakat N, Vaughan S. OIS forthcoming in Eds Wickramasinghe and Bodendorf Analytics and Sensors for superior healthcare delivery. New York: Springer; 2019
  • 29 Asangansi I, Macleod B, Meremikwu M, Arikpo I, Roberge D, Hartsock B. , et al. Improving the routine HMIS in Nigeria through mobile technology for community data collection. J Health Inform Dev Ctries 2013; 7: 76-87
  • 30 Adams SA. Blog-based applications and health information: two case studies that illustrate important questions for Consumer Health Informatics (CHI) research. Int J Med Inform 2010; 79 (06) e89-e96
  • 31 Adjorlolo S, Ellingsen G. Readiness assessment for implementation of electronic patient record in Ghana: a case of the University of Ghana Hospital. J Health Inform Dev Ctries 2013; 7: 128-40
  • 32 Al-Mafazy A, Ngilangwa DP, Ali AS, Garimo I, Molteni F, Mesllem MI. , et al. Representativeness, completeness, timeliness, and accuracy of Zanzibar’s malaria epidemic early detection system (MEEDS), 2008-2011. Am J Trop Med Hyg 2012; 1: 269