Abstract
The integration of modern information technologies into health care resulted in development of public health care information systems for the purpose of aiding the medical community by providing for less error prone diagnoses and treatment of diseases. The architecture presented in this paper is an evidence-based health care information infrastructure which collects considerable amounts of reliable, evidence-based data over time from various sources, and that it classifies, interprets and makes the data readily available and accessible to the health care provider before patient consultations. Among many other goals, the proposed system’s key objective and contribution is gathering Patients’ Ancillary Data (PAD) and incorporating this information into the diagnosis and treatment workflow. The data from medical tests is enriched and complemented by patient ancillary data such as hereditary, residential, travel, custom, meteorological, biographical and demographical data. Automatic provisioning of PAD, another goal of the proposal, helps to diminish problems and misdiagnosis situations caused by language barriers-disorders that frequently prevent the acquisition of patient data. This attribute of the system assists physicians to shorten time for diagnosis and consultations, therefore dramatically improving quality and quantity of the physical examinations of patients.
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References
Thiel, R.: eHealth Strategies of European Member States – Priorities, Experience, and Lessons Learned. In: First Southeast European eHealth Networking Conference, Bosnia, Herzegovina, September 3, pp. 8–9 (2009)
eHealth ERA Report. eHealth Priorities and Strategies in European Countries, http://ec.europa.eu/information_society/activities/health/docs/policy/ehealth-era-full-report.pdf (accessed: 12-4-2010)
Grode, A.: The German e-Card Infrastructure Set-up. In: First Southeast European eHealth Networking Conference, Bosnia, Herzegovina, September 3, pp. 22–23 (2009)
Graber, M.L., Franklin, N., Gordon, R.: Diagnostic error in internal medicine. Archives of Internal Medicine 165(13), 1493–1499 (2005)
Hashem, A., Chi, M.T.H., Friedman, C.P.: Medical errors as a result of specialization. Journal of Biomedical Informatics 36(1-2), 61–69 (2003)
Singh, H., Thomas, E.J., Petersen, L.A., Studdert, D.M.: Medical errors involving trainees - A study of closed malpractice claims from 5 insurers. Archives of Internal Medicine 167(19), 2030–2036 (2007)
Pope, J.H., Aufderheide, T.P., Ruthazer, R., et al.: Missed Diagnoses of Acute Cardiac Ischemia in the Emergency Department. The New England Journal of Medicine 342, 1163–1170 (2000)
Schiff, G.D., Kim, S., Abrams, R., et al.: Diagnosing Diagnosis Errors: Lessons From A Multi-Institutional Collaborative Project. Agency For Healthcare Research And Quality Rockville Md, Report No.: ADA434037 (2005)
Yen, A.W., Fancher, T.L., Bowlus, C.L.: Revisiting Hereditary Hemochromatosis: Current Concepts and Progress. The American Journal of Medicine 119(5), 391–399 (2006)
Elwood, J.M., Jopson, J.: Melanoma and Sun Exposure: An Overview of Published Studies. International Journal of Cancer 73(2), 198–203 (1997)
Sahin, Y.G., Celikkan, U.: MEDWISE: An Innovative Public Health Information System Infrastructure. Journal of Medical Systems, doi:10.1007/s10916-010-9632-7 (in press)
HL7 Standards. Clinical Document Architecture (a V3-based standard), http://www.hl7.org/implement/standards/index.cfm?ref=nav (accessed: 5-5-2010)
HL7 Standards. HL7 Reference Information Model, http://www.hl7.org/implement/standards/rim.cfm (accessed: 5-5-2010)
Wikipedia. Expert Systems. Available from, http://en.wikipedia.org/wiki/Expert_systems (accessed: 1-3-2010)
Ignizio, J.P: An Introduction To Expert Systems Mcgraw-Hill College (1991)
Teitelbaum, J.E., Deantonis, K.O., Kahan, S.: In A Page: Pediatric Signs and Symptoms Lippincott Williams & Wilkins (2007)
Gilliam, L.K., Liese, A.D., Bloch, C.A., et al.: Family history of diabetes, autoimmunity, and risk factors for cardiovascular disease among children with diabetes in the SEARCH for Diabetes in Youth Study. Pediatric Diabetes 8(6), 354–361 (2007)
Tezer, H., Saylı, T.R., Bilir, O.A., Demirkapi, S.: Is A Tick Bite of Concern in Children? Our data for 2008. Journal of Pediatric Infection 3(2), 54–57 (2009)
Rosling, H.: People living with HIV: Graphical Demonstration, http://www.gapminder.org (accessed: 6-5-2010)
Ash, J.S., Berg, M., Coiera, E.: Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors. Journal of the American Medical Informatics Association 11(2), 104–112 (2004)
Arkes, H.R., Shaffer, V.A., Medow, M.: The influence of a physician’s use of a diagnostic decision aid on the malpractice verdicts of mock jurors. Medical Decision Making 28(2), 201–208 (2008)
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Sahin, Y.G., Celikkan, U. (2011). A Public Health Information System Design. In: Snasel, V., Platos, J., El-Qawasmeh, E. (eds) Digital Information Processing and Communications. ICDIPC 2011. Communications in Computer and Information Science, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22389-1_46
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DOI: https://doi.org/10.1007/978-3-642-22389-1_46
Publisher Name: Springer, Berlin, Heidelberg
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