Yearb Med Inform 2010; 19(01): 25-29
DOI: 10.1055/s-0038-1638684
Original Article
Georg Thieme Verlag KG Stuttgart

Health Information Systems: a Survey of Frame-works for Developing Countries

A.B. Marcelo
1   University of the Philippines - National Telehealth Center, Manila, Philippines
› Author Affiliations
Further Information

Correspondence to

Alvin B. Marcelo, MD
University of the Philippines Manila – National Telehealth Center 3rd floor Philippine General Hospital
Taft Avenue, Manila PHILIPPINES 1000
Phone: +632 426 2315   
Fax: +632 522 9231   

Publication History

Publication Date:
07 March 2018 (online)

 

Summary

Objectives: The objective of this paper is to perform a survey of excellent research on health information systems (HIS) analysis and design, and their underlying theoretical frameworks. It classifies these frameworks along major themes, and analyzes the different approaches to HIS development that are practical in resource-constrained environments.

Method: Literature review based on PubMed citations and conference proceedings, as well as Internet searches on information systems in general, and health information systems in particular.

Results: The field of health information systems development has been studied extensively. Despite this, failed implementations are still common. Theoretical frameworks for HIS development are available that can guide implementers.

Conclusion: As awareness, acceptance, and demand for health information systems increase globally, the variety of approaches and strategies will also follow. For developing countries with scarce resources, a trial-and-error approach can be very costly. Lessons from the successes and failures of initial HIS implementations have been abstracted into theoretical frameworks. These frameworks organize complex HIS concepts into methodologies that standardize techniques in implementation. As globalization continues to impact healthcare in the developing world, demand for more responsive health systems will become urgent. More comprehensive frameworks and practical tools to guide HIS implementers will be imperative.


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  • References

  • 1 Littlejohns P, Wyatt JC, Garvican L. Evaluating computerised health information systems: hard lessons still to be learnt. BMJ 2003; Apr 19; 326 7394 860-3.
  • 2 Longano BA. Evaluating computerised health information systems: Article contains inaccuracies. BMJ 2003; Jul 17; 327 7407 163.
  • 3 Ladner J, Digbeu H, Marquis F, Bi BG. Evaluating computerised health information systems: Health professionals should be closely involved in implementation. BMJ. 2003 327. 163-a..
  • 4 Winkelman WJ. Evaluating computerised health information systems: Opportunities were missed. BMJ. 2003 Jul 17; 327. (7407):162-b-163.
  • 5 Evans MG. Evaluating computerised health information systems: We are still getting information technology wrong. BMJ. 2003 Jul 17; 327. 7407:163-b-164.
  • 6 Balka E. Getting the big picture: the macro-politics of information system development (and failure) in a Canadian hospital. Methods Inf Med 2003; 42 (04) 324-30.
  • 7 Nykänen P, Karimaa E. Success and failure factors in the regional health information system design process—results from a constructive evaluation study. Methods Inf Med 2006; 45 (01) 85-9.
  • 8 Kleinke JD. Dot-gov: market failure and the creation of a national health information technology system. Health Aff (Millwood) 2005; Oct; 24 (05) 1246-62.
  • 9 Scott JT, Rundall TG, Vogt TM, Hsu J. Kaiser Permanente’s experience of implementing an electronic medical record: a qualitative study. BMJ 2005; Dec 3; 331 7528 1313-6.
  • 10 Mate KS, Bennett B, Mphatswe W, Barker P, Rollins N. Challenges for routine health system data management in a large public programme to prevent mother-to-child HIV transmission in South Africa. PLoS ONE 2009; 04 (05) e5483.
  • 11 Saleem JJ, Russ AL, Sanderson P, Johnson TR, Zhang J, Sittig DF. Current challenges and opportunities for better integration of human factors research with development of clinical information systems. Yearb Med Inform 2009; 48-58.
  • 12 Wetter T. To decay is system: the challenges of keeping a health information system alive. Int J Med Inform 2007; Jun;76 Suppl 1: S252-60.
  • 13 Ammenwerth E, Schnell-Inderst P, Siebert U. Vision and challenges of Evidence-Based Health Informatics: a case study of a CPOE meta-analysis. Int J Med Inform 2010; Apr; 79 (04) e83-8.
  • 14 Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E. et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; May 16; 144 (10) 742-52.
  • 15 Shekelle PG, Morton SC, Keeler EB. Costs and benefits of health information technology. Evid Rep Technol Assess (Full Rep) 2006; Apr; (132) 1-71.
  • 16 Heeks R. Health information systems: failure, success and improvisation. Int J Med Inform 2006; Feb; 75 (02) 125-37.
  • 17 Aqil A, Lippeveld T, Hozumi D. PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems. Health Policy Plan 2009; May; 24 (03) 217-28.
  • 18 Yusof MM, Stergioulas L, Zugic J. Health information systems adoption: findings from a systematic review. Stud Health Technol Inform 2007; 129 Pt 1 262-6.
  • 19 Killingsworth B, Newkirk HE, Seeman E. An integrative health information systems approach for facilitating strategic planning in hospitals. Health Care Manage Rev 2006; Jun; 31 (02) 119-29.
  • 20 Simba DO, Mwangu M. Application of ICT in strengthening health information systems in developing countries in the wake of globalisation. Afr Health Sci 2004; Dec; 04 (03) 194-8.
  • 21 Worldwide Mobile Market Forecasts 2006-2011 - MobileIN.com [Internet]. [cited 2010 Apr 4];Available from: http://www.mobilein.com/reports/PR/WW_Mobile_Forecasts_2006-2011.php.
  • 22 DeLone WH, McLean ER. Information Systems Success: The Quest for the Dependent Variable. Information Systems Research 1992; Mar 1; 03 (01) 60-95.
  • 23 Petter S, McLean ER. A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management 2009; Apr; 46 (03) 159-66.
  • 24 Delone WH, McLean ER. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 2003; 19 (04) 9-30.
  • 25 Lau F, Hagens S, Muttitt S. A proposed benefits evaluation framework for health information systems in Canada. Healthc Q 2007; 10 (01) 112-6 118..
  • 26 Lau F. Extending the infoway benefits evaluation framework for health information systems. Stud Health Technol Inform 2009; 143: 406-13.
  • 27 Lind A, Lind B. The practice of information system development and use: a dialectical approach. Systems Research and Behavioral Science 2005; 22 (05) 453-64.
  • 28 WHO | Welcome to HMN [Internet]. [cited 2010 Apr 4];Available from: http://www.who.int/ healthmetrics/en/.
  • 29 PRISM: Performance of Routine Information System Management Framework — UNC Carolina Population Center [Internet]. [cited 2010 Apr 5];Available from: http://www.cpc.unc.edu/measure/tools/monitoring-evaluation-systems/prism.
  • 30 Design and Implementation of Health Information Systems - WHO - OMS - [Internet]. [cited 2010. Apr 12];Available from: http://apps.who.int/bookorders/anglais/detart1.jsp?sesslan=1&codlan=1&codcol=15&codcch=479.

Correspondence to

Alvin B. Marcelo, MD
University of the Philippines Manila – National Telehealth Center 3rd floor Philippine General Hospital
Taft Avenue, Manila PHILIPPINES 1000
Phone: +632 426 2315   
Fax: +632 522 9231   

  • References

  • 1 Littlejohns P, Wyatt JC, Garvican L. Evaluating computerised health information systems: hard lessons still to be learnt. BMJ 2003; Apr 19; 326 7394 860-3.
  • 2 Longano BA. Evaluating computerised health information systems: Article contains inaccuracies. BMJ 2003; Jul 17; 327 7407 163.
  • 3 Ladner J, Digbeu H, Marquis F, Bi BG. Evaluating computerised health information systems: Health professionals should be closely involved in implementation. BMJ. 2003 327. 163-a..
  • 4 Winkelman WJ. Evaluating computerised health information systems: Opportunities were missed. BMJ. 2003 Jul 17; 327. (7407):162-b-163.
  • 5 Evans MG. Evaluating computerised health information systems: We are still getting information technology wrong. BMJ. 2003 Jul 17; 327. 7407:163-b-164.
  • 6 Balka E. Getting the big picture: the macro-politics of information system development (and failure) in a Canadian hospital. Methods Inf Med 2003; 42 (04) 324-30.
  • 7 Nykänen P, Karimaa E. Success and failure factors in the regional health information system design process—results from a constructive evaluation study. Methods Inf Med 2006; 45 (01) 85-9.
  • 8 Kleinke JD. Dot-gov: market failure and the creation of a national health information technology system. Health Aff (Millwood) 2005; Oct; 24 (05) 1246-62.
  • 9 Scott JT, Rundall TG, Vogt TM, Hsu J. Kaiser Permanente’s experience of implementing an electronic medical record: a qualitative study. BMJ 2005; Dec 3; 331 7528 1313-6.
  • 10 Mate KS, Bennett B, Mphatswe W, Barker P, Rollins N. Challenges for routine health system data management in a large public programme to prevent mother-to-child HIV transmission in South Africa. PLoS ONE 2009; 04 (05) e5483.
  • 11 Saleem JJ, Russ AL, Sanderson P, Johnson TR, Zhang J, Sittig DF. Current challenges and opportunities for better integration of human factors research with development of clinical information systems. Yearb Med Inform 2009; 48-58.
  • 12 Wetter T. To decay is system: the challenges of keeping a health information system alive. Int J Med Inform 2007; Jun;76 Suppl 1: S252-60.
  • 13 Ammenwerth E, Schnell-Inderst P, Siebert U. Vision and challenges of Evidence-Based Health Informatics: a case study of a CPOE meta-analysis. Int J Med Inform 2010; Apr; 79 (04) e83-8.
  • 14 Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E. et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; May 16; 144 (10) 742-52.
  • 15 Shekelle PG, Morton SC, Keeler EB. Costs and benefits of health information technology. Evid Rep Technol Assess (Full Rep) 2006; Apr; (132) 1-71.
  • 16 Heeks R. Health information systems: failure, success and improvisation. Int J Med Inform 2006; Feb; 75 (02) 125-37.
  • 17 Aqil A, Lippeveld T, Hozumi D. PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems. Health Policy Plan 2009; May; 24 (03) 217-28.
  • 18 Yusof MM, Stergioulas L, Zugic J. Health information systems adoption: findings from a systematic review. Stud Health Technol Inform 2007; 129 Pt 1 262-6.
  • 19 Killingsworth B, Newkirk HE, Seeman E. An integrative health information systems approach for facilitating strategic planning in hospitals. Health Care Manage Rev 2006; Jun; 31 (02) 119-29.
  • 20 Simba DO, Mwangu M. Application of ICT in strengthening health information systems in developing countries in the wake of globalisation. Afr Health Sci 2004; Dec; 04 (03) 194-8.
  • 21 Worldwide Mobile Market Forecasts 2006-2011 - MobileIN.com [Internet]. [cited 2010 Apr 4];Available from: http://www.mobilein.com/reports/PR/WW_Mobile_Forecasts_2006-2011.php.
  • 22 DeLone WH, McLean ER. Information Systems Success: The Quest for the Dependent Variable. Information Systems Research 1992; Mar 1; 03 (01) 60-95.
  • 23 Petter S, McLean ER. A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management 2009; Apr; 46 (03) 159-66.
  • 24 Delone WH, McLean ER. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 2003; 19 (04) 9-30.
  • 25 Lau F, Hagens S, Muttitt S. A proposed benefits evaluation framework for health information systems in Canada. Healthc Q 2007; 10 (01) 112-6 118..
  • 26 Lau F. Extending the infoway benefits evaluation framework for health information systems. Stud Health Technol Inform 2009; 143: 406-13.
  • 27 Lind A, Lind B. The practice of information system development and use: a dialectical approach. Systems Research and Behavioral Science 2005; 22 (05) 453-64.
  • 28 WHO | Welcome to HMN [Internet]. [cited 2010 Apr 4];Available from: http://www.who.int/ healthmetrics/en/.
  • 29 PRISM: Performance of Routine Information System Management Framework — UNC Carolina Population Center [Internet]. [cited 2010 Apr 5];Available from: http://www.cpc.unc.edu/measure/tools/monitoring-evaluation-systems/prism.
  • 30 Design and Implementation of Health Information Systems - WHO - OMS - [Internet]. [cited 2010. Apr 12];Available from: http://apps.who.int/bookorders/anglais/detart1.jsp?sesslan=1&codlan=1&codcol=15&codcch=479.