Abstract
Personal Health Records (PHRs) and other emerging health information technologies create the potential for the capture and storage of a much greater quantity and quality of health data in the future. PHRs in particular provide a likely more privacy supporting form of electronic health data storage. This paper discusses how new health information technologies can support richer future health record data and how these records can provide a foundation for current and future applications of computational science approaches, supporting what might be called Computational Health.
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References
Corn, M.: Archiving the Phenome: Clinical Records Deserve Long-term Preservation. Journal of the American Medical Informatics Association 16(1), 1–6 (2009)
Ball, M.J., Lillis, J.: E-health: transforming the physician/patient relationship. International Journal of Medical Informatics 61(1), 1–10 (2001)
McDonald, C.J., Overhage, J.M., Dexter, P.R., Belvins, L., et al.: Canopy Computing: Using the Web in Clinical Practice. Journal of the American Medical Association 280(15), 1325–1329 (1998)
Tang, P.C., Ash, J.S., Bates, D.W., Overhage, J.M., Sands, D.Z.: Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption. Journal of the American Medical Informatics Association 13(2), 121–126 (2006)
Department of Health and Human Services Office of the National Coordinator of Health Information Technology. Personalized Healthcare Detailed Use Case, http://www.hhs.gov/healthit/usecases/documents/PHCDetailed.pdf
The Personal Health Working Group: Markle Foundation (2003), http://www.markle.org
Kaelber, D.C., Jha, A.K., Johnston, D., Middleton, B., Bates, D.W.: A Research Agenda for Personal Health Records (PHRs). J. Am. Med. Inform. Assoc. (2008)
Steele, R., Secombe, C., Brookes, W.: Using Wireless Sensor Networks for Aged Care: The Patient’s Perspective. In: Pervasive Health Conference and Workshops, 2006 (2006)
van Dijk, E.J., Vermeer, S.E., de Groot, J.C., van de minkelis, J., et al.: Arterial oxygen saturation, COPD, and cerebral small vessel disease. J. Neurol. Neurosurg. Psychiatry 75(5), 733–736 (2004)
Fulford-Jones, T.R.F., Gu-Yeon, W., Welsh, M.: A portable, low-power, wireless two-lead EKG system. In: 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004. IEMBS 2004 (2004)
Maekawa, T., Yanagisawa, Y., Kishino, Y., Kamei, K., et al.: Object-Blog System for Environment-Generated Content. IEEE Pervasive Computing 7, 20–27 (2008)
Bell, G., Gray, J., Szalay, A.: Petascale Computational Systems. Computer 39(1), 110–112 (2006)
Wainer, H., Thissen, D.: Graphical Data Analysis. Annual Review of Psychology 32(1), 191–241 (1981)
Rakesh, A., Tomasz, I., Arun, S.: Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD international conference on Management of data (1993)
Gupta, A., Kumar, N., Bhatnagar, V.: Analysis of Medical Data using Data Mining and Formal Concept Analysis. In: Proceedings of World Academy of Science, Engineering and Technology, vol. 6 (June 2005)
Jay, N., Kohler, F., Napoli, A.: Using Formal Concept Analysis for Mining and Interpreting Patient Flows within a Healthcare Network. In: Concept Lattices and Their Applications, pp. 263–268 (2008)
Gandhi, T.K., Weingart, S.N., Borus, J., Seger, A.C., et al.: Adverse Drug Events in Ambulatory Care. N Engl. J. Med. 348(16), 1556–1564 (2003)
Stead, W., Lin, H. (eds.): Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions. National Academies Press (2009)
Kalpathy-Cramer, J., Bedrick, S., Hatt, W., Hersh, W.: Multimodal Medical Image Retrieval: OHSU at ImageCLEF 2008. In: Working Notes for the CLEF 2008 Workshop, Aarhus, Denmark (2008)
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Steele, R., Lo, A. (2009). Future Personal Health Records as a Foundation for Computational Health. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02457-3_60
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DOI: https://doi.org/10.1007/978-3-642-02457-3_60
Publisher Name: Springer, Berlin, Heidelberg
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