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Information Technology Solutions for Diabetes management and prevention Current Challenges and Future Research directions

  • Conference paper
11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007

Part of the book series: IFMBE Proceedings ((IFMBE,volume 16))

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Abstract

This paper presents a list of current and future challenges for Information technology in Diabetes Mellitus management. Three main research areas are identified: supporting patients, supporting health care providers, including specialists, GPs and case managers and finally supporting organizations and health care policy makers. The new technological advances in context awareness, user modelling, data mining and integrated information systems enable the design and implementation of new decision support strategies which may be effective in improving the management and prevention of chronic diseases in general and of Diabetes Mellitus in particular.

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References

  1. Wild s, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes care 27(5):1047–53

    Article  Google Scholar 

  2. Kilpatrick ES, Rigby AS, Atkin SL (2007) Insulin resistance, the metabolic syndrome, and complication risk in type 1 diabetes: "double diabetes" in the Diabetes Control and Complications Trial. Diabetes Care 30(3):707–12.

    Article  Google Scholar 

  3. UKPDS 33, Lancet 1998;352:837–53

    Google Scholar 

  4. Herman W, et al. (2005) The Cost-Effectiveness of Lifestyle Modification or Metformin in Preventing Type 2 Diabetes in Adults with Impaired Glucose Tolerance. Annals of Internal Medicine 142(5): 323–332.

    MathSciNet  Google Scholar 

  5. Glasgow RE, et al. (2001) Report of the health care delivery work group: behavioral research related to the establishment of a chronic disease model for diabetes care. Diabetes Care 24(1):124–30.

    Article  Google Scholar 

  6. Cavan DA, et al. (1998) Preliminary experience of the DIAS computer model in providing insulin dose advice to patients with insulin dependent diabetes. Comput Methods Programs Biomed 56(2):157–64.

    Article  Google Scholar 

  7. Hetlevik I, Holmen J, Kruger O, Kristensen P, Iversen H, Furuseth K. (2000) Implementing clinical guidelines in the treatment of diabetes mellitus in general practice. Int J Technol Assess Health Care 16(1):210–27.

    Article  Google Scholar 

  8. Montani S, Bellazzi R, Portinale L, d'Annunzio G, Fiocchi S, Stefanelli M (2000) Diabetic Patients Management Exploiting Case-Based Reasoning Techniques. Comput Meth and Progs in Biomedicine 62: 205–218.

    Article  Google Scholar 

  9. Gomez EJ, Del Pozo F, Hernando E (1996) Telemedicine for Diabetes care: the DIABTel approach. Medical Informatics 21:283–295

    Article  Google Scholar 

  10. Starren J, et al. (2002) Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) project: technical implementation. J. Am Med Inform Assoc 9(1):25–36.

    Google Scholar 

  11. Larizza C, Bellazzi R, Stefanelli M, Ferrari P, De Cata P, Gazzaruso C, Fratino P, D'Annunzio G, Hernando E, Gomez EJ (2006) The M2DM Project–the experience of two Italian clinical sites with clinical evaluation of a multi-access service for the management of diabetes mellitus patients. Methods Inf Med 45(1):79–84.

    Google Scholar 

  12. Sperl-Hillen J, O'Connor PJ, Carlson RR, Lawson TB, Halstenson C, Crowson T, Wuorenma J (2000) Improving diabetes care in a large health care system: an enhanced primary care approach. Jt Comm J Qual Improv 26(11):615–22.

    Google Scholar 

  13. Prochaska, J., & Marcus, B. (1994). The Transtheoretical Model: Applications to Exercise. In R. Dishman (Ed.), Advances in Exercise Adherence (pp. 161–180).

    Google Scholar 

  14. Glanz, K., Lewis, F., & Rimer, B. (1997). Health Behavior and Health Education: Theory, Research, and Practice. SF, CA: Jossey-Bass.

    Google Scholar 

  15. Owen, N., Fotheringham, M., & Marcus, B. (2002). Communication technology and health behavior change. In K. Glanz, B. Rimer, F. Lewis (Eds.), Health behavior and health education. SF, CA: Jossey-Bass.

    Google Scholar 

  16. Ma C, Warren J, Phillips P, Stanek J (2006) Empowering patients with essential information and communication support in the context of diabetes. Int J Med Inform 75(8):577–96.

    Article  Google Scholar 

  17. Cassell, J., Sullivan, J., Prevost, S., & Churchill, E. (2000) Embodied Conversational Agents. Cambridge, MIT Press.

    Google Scholar 

  18. Bickmore, T. and Picard, R. (to appear) "Establishing and Maintaining Long-Term Human-Computer Relationships" ACM Transactions on Computer Human Interaction (ToCHI).

    Google Scholar 

  19. Koch S (2006) Meeting the challenges–the role of medical informatics in an ageing society. Stud Health Technol Inform 124:25–31.

    Google Scholar 

  20. Lehmann ED, Deutsch T (1995) Application of computers in Diabetes care – a review. Part I and II. Med Inform. 20(4):281–329.

    Google Scholar 

  21. Lehmann ED, Deutsch T (1996) Computer assisted diabetes care: a 6-year retrospective. Comput Methods Programs Biomed 50(3):209–30.

    Article  Google Scholar 

  22. Dorr D, Bonner LM, Cohen AN, Shoai RS, Perrin R, Chaney E, Young AS (2007) Informatics Systems to Promote Improved Care for Chronic Illness: A Literature Review. J Am Med Inform Assoc 14(2):156–163.

    Article  Google Scholar 

  23. O'Connor PJ, Crain AL, Rush WA, Sperl-Hillen JM, Gutenkauf JJ, Duncan JE (2005) Impact of an electronic medical record on diabetes quality of care. Ann Fam Med 3(4):300–6.

    Article  Google Scholar 

  24. Leese G., Boyle D., Morris A (2006) The Taysisde Diabetes Network. Diabetes Research and Clinical Practice 74:S197-S199.

    Article  Google Scholar 

  25. Shea S, et al, A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus. J Am Med Inform Assoc 2006;1340–51.

    Google Scholar 

  26. Lindstrom J, Tuomilehto J (2003) The Diabetes Risk Score. A practical tool to predict type 2 diabetes risk. Diabetes Care 26:725–731

    Article  Google Scholar 

  27. Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, Quon MJ (2000) Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 85: 2402–2410

    Article  Google Scholar 

  28. Magni P, Sparacino G, Bellazzi R, Toffolo GM, Cobelli C (2004) Insulin minimal model indexes and secretion: proper handling of uncertainty by a Bayesian approach. Ann Biomed Eng 32(7):1027–37.

    Article  Google Scholar 

  29. Bergman R, Ider Y, Bowden C, Cobelli C (1979) Quantitative estimation of insulin sensitivity. Am J Physiol 236: E667-E677

    Google Scholar 

  30. Sladek R, et al. (2007) A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 445(7130):881–5.

    Article  Google Scholar 

  31. Kristensen JK, Sandbaek A, Lassen JF, Bro F, Lauritzen T (2001) Use and validation of public data files for identification of the diabetic population in a Danish county. Dan Med Bull 48(1):33–7.

    Google Scholar 

  32. Bellazzi R, Larizza C, Magni P, Bellazzi R (2005) Temporal data mining for the quality assessment of hemodialysis services. Artif Intell Med 34(1):25–39.

    Article  Google Scholar 

  33. Herman W. (2003) Diabetes Modeling. Diabetes care 26(11): 3182

    Article  MathSciNet  Google Scholar 

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Bellazzi, R. (2007). Information Technology Solutions for Diabetes management and prevention Current Challenges and Future Research directions. In: Jarm, T., Kramar, P., Zupanic, A. (eds) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007. IFMBE Proceedings, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73044-6_5

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  • DOI: https://doi.org/10.1007/978-3-540-73044-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73043-9

  • Online ISBN: 978-3-540-73044-6

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