iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1007/s10916-014-0073-6
Assessing the Prognoses on Health Care in the Information Society 2013 - Thirteen Years After | Journal of Medical Systems Skip to main content

Advertisement

Log in

Assessing the Prognoses on Health Care in the Information Society 2013 - Thirteen Years After

  • S.I.: Healthcare in the Information Society – R. Haux, et al.
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Health care and information technology in health care is advancing at tremendous speed. We analysed whether the prognoses by Haux et al. - first presented in 2000 and published in 2002 [1] - have been fulfilled in 2013 and which might be the reasons for match or mismatch. Twenty international experts in biomedical and health informatics met in May 2013 in a workshop to discuss match or mismatch of each of the 71 prognoses. After this meeting a web-based survey among workshop participants took place. Thirty-three prognoses were assessed matching; they reflect e.g. that there is good progress in storing patient data electronically in health care institutions. Twenty-three prognoses were assessed mismatching; they reflect e.g. that telemedicine and home monitoring as well as electronic exchange of patient data between institutions is not established as widespread as expected. Fifteen prognoses were assessed neither matching nor mismatching. ICT tools have considerably influenced health care in the last decade, but in many cases not as far as it was expected by Haux et al. in 2002. In most cases this is not a matter of the availability of technical solutions but of organizational and ethical issues. We need innovative and modern information system architectures which support multiple use of data for patient care as well as for research and reporting and which are able to integrate data from home monitoring into a patient centered health record. Since innovative technology is available the efficient and wide-spread use in health care has to be enabled by systematic information management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Haux, R., Ammenwerth, E., Herzog, W., and Knaup, P., Health Care in the Information Society: A Prognosis for the Year 2013. International Journal of Medical Informatics 66:3–21, 2002.

    Article  PubMed  Google Scholar 

  2. Haux, R., Medical informatics: Past, present, future. International Journal of Medical Informatics 79(9):599–610, 2010.

    Article  PubMed  Google Scholar 

  3. Winter, A., Haux, R., Ammenwerth, E., Brigl, B., Hellrung, N., and Jahn, F., Health information systems: Architectures and strategies, 2nd edition. Springer, London, 2011.

    Book  Google Scholar 

  4. United Nations, Department of Economic and Social Affairs, Population Division (2013). World Population Ageing 2013. ST/ESA/SER.A/348. [cited 2014 Feb 4].

  5. World Health Organization. eHealth series. http://www.who.int/goe/publications/en/ [cited 4. Februrary 2014].

  6. World Health Organization. Atlas eHealth country profiles: based on the findings of the second global survey on eHealth. (Global Observatory for eHealth Series, 1) 2011. http://whqlibdoc.who.int/publications/2011/9789241564168_eng.pdf?ua=1 [cited 2014 Feb 4].

  7. Al-Shorbaji, N., The World Health Assembly resolutions on eHealth: eHealth in support of universal health coverage. Method Inform Med 52:463–6, 2013.

    CAS  Google Scholar 

  8. International Telecommunication Union. The World in 2013. ICT facts and figures. http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2013-e.pdf [cited 2014 Feb 4].

  9. Denecke, K., and Brooks, E., Web Science in medicine and healthcare. Method Inform Med 52(2):148–51, 2013.

    CAS  Google Scholar 

  10. Frieling, H., Bleich, S., and Marschollek, M., Psychiatry and informatics - joining forces to improve mental health. Method Inform Med 51:1–2, 2012.

    CAS  Google Scholar 

  11. Haux, R., Hein, A., Eichelberg, M., Appell, J., Appelrath, H., Bartsch, C., et al., The Lower Saxony research network design of environments for ageing: Towards interdisciplinary research on information and communication technologies in ageing societies. Inform Health Soc Care 35(3–4):92–103, 2010.

    Article  PubMed  Google Scholar 

  12. Koch S, Marschollek M, Wolf K, Plischke M, Haux R. On Health-enabling and Ambient-assistive Technologies. Methods Inf Med 2009.

  13. Marschollek, M., Recent progress in sensor-enhanced health information systems – slowly but sustainably. Inform Health Soc Care 34(4):225–30, 2009.

    Article  PubMed  Google Scholar 

  14. Müller, H., Hanbury, A., and Al, S. N., Health information search to deal with the exploding amount of health information produced. Method Inform Med 51:516–8, 2012.

    Google Scholar 

  15. Spitalewsky, K., Rochon, J., Ganzinger, M., and Knaup, P., Potential and requirements of IT for ambient assisted living technologies. Results of a Delphi study. Methods Inf Med 52(3):231–8, 2013.

    Article  CAS  Google Scholar 

  16. Spreckelsen, C., Spitzer, K., and Honekamp, W., Present Situation and Prospect of Medical Knowledge Based Systems in German-speaking Countries. Methods Inf Med 51(4):281–94, 2012.

    Article  PubMed  Google Scholar 

  17. Linstone HA, Turoff M. The Delphi Method: Techniques and Applications; 2002. Available from: URL:http://is.njit.edu/pubs/delphibook/.

  18. Bundesgesetzblatt für die Republik Österreich. 111. Bundesgesetz: Elektronische Gesundheitsakte-Gesetz - ELGA-G. http://www.elga.gv.at/fileadmin/user_upload/uploads/download_Papers/Gesetze_u.a._Rechtsgrundlagen/BGBLA_2012_I_111.pdf; 2012.

  19. Janzek-Hawlat, S., Ammenwerth, E., Dorda, W., Duftschmid, G., Hackl, W., Horbst, A., et al., The Austrian e-Medikation pilot evaluation: lessons learned from a national medication list. Stud Health Technol Inform 192:347–51, 2013.

    PubMed  Google Scholar 

  20. Ingenerf, J., Kock, A., Poelker, M., Seidl, K., Zeplin, G., Mersmann, S., et al., Standardizing intensive care device data to enable secondary usages. Stud Health Technol Inform 180:619–23, 2012.

    PubMed  Google Scholar 

  21. Klein, A., Prokosch, H., Muller, M., and Ganslandt, T., Experiences with an interoperable data acquisition platform for multi-centric research networks based on HL7 CDA. Methods Inf Med 46(5):580–5, 2007.

    CAS  PubMed  Google Scholar 

  22. Demski, H., Hildebrand, C., Brass, A., Jedamzik, S., and Engelbrecht, R., Improvement of cross-sector communication in the integrated health environment. Stud Health Technol Inform 155:95–100, 2010.

    PubMed  Google Scholar 

  23. Haarbrandt, B., Schwartze, J., Gusew, N., Seidel, C., Kleinschmidt, T., and Haux, R., Primary care provider's acceptance of health information exchange utilizing IHE XDS. Stud Health Technol Inform 192:998, 2013.

    PubMed  Google Scholar 

  24. Welter, P., Riesmeier, J., Fischer, B., Grouls, C., Kuhl, C., and Deserno, T. M., Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis. J Am Med Inform Assoc 18(4):506–10, 2011.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Kendall, E., Sunderland, N., Muenchberger, H., and Armstrong, K., When guidelines need guidance: considerations and strategies for improving the adoption of chronic disease evidence by general practitioners. J Eval Clin Pract 15(6):1082–90, 2009.

    Article  PubMed  Google Scholar 

  26. Talmon JL, Ros’ MG, Legemate DA. PSI: The Dutch Academic Infrastructure for shared biobanks for translational research. Summit on Translat Bioinforma 2008; 2008:110–4.

  27. Navis GJ, Blankestijn PJ, Deegens J, De Fijter, Johan W, Homan van der Heide, Jaap J, Rabelink T et al. The Biobank of Nephrological Diseases in the Netherlands cohort: the String of Pearls Initiative collaboration on chronic kidney disease in the university medical centers in the Netherlands. Nephrol Dial Transplant 2013.

  28. Ekeland, A. G., Bowes, A., and Flottorp, S., Methodologies for assessing telemedicine: A systematic review of reviews. International Journal of Medical Informatics 81(1):1–11, 2012.

    Article  PubMed  Google Scholar 

  29. Gusew, N., Bartkiewicz, T., Bautsch, W., Gerlach, A., Goldapp, M., Haux, R., et al., A Regional Health Care Network: eHealth.Braunschweig. Methods Inf Med 51(3):199–209, 2012.

    Article  CAS  PubMed  Google Scholar 

  30. Geissbuhler, A., Kimura, M., Kulikowski, C. A., Murray, P. J., Ohno-Machado, L., Park, H., et al., Confluence of Disciplines in Health Informatics: an International Perspective. Methods Inf Med 50(6):545–55, 2011.

    Article  CAS  PubMed  Google Scholar 

  31. Takahashi, P. Y., Hanson, G. J., Pecina, J. L., Stroebel, R. J., Chaudhry, R., Shah, N. D., et al., A randomized controlled trial of telemonitoring in older adults with multiple chronic conditions: the Tele-ERA study. BMC Health Serv Res 10(1):255, 2010.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Steventon, A., Bardsley, M., Billings, J., Dixon, J., Doll, H., Hirani, S., et al., Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. Bmj 344:e3874, 2012.

    Article  PubMed Central  PubMed  Google Scholar 

  33. Bergrath, S., Rossaint, R., Lenssen, N., Fitzner, C., and Skorning, M., Prehospital digital photography and automated image transmission in an emergency medical service – an ancillary retrospective analysis of a prospective controlled trial. Scand J Trauma Resusc Emerg Med 21(1):3, 2013.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Lilly, C. M., Hospital Mortality, Length of Stay, and Preventable Complications Among Critically Ill Patients Before and After Tele-ICU Reengineering of Critical Care Processes. JAMA 305(21):2175, 2011.

    Article  CAS  PubMed  Google Scholar 

  35. Eysenbach G, Yihune G, Lampe K, Cross P, Brickley D. Quality management, certification and rating of health information on the Net with MedCERTAIN: using a medPICS/RDF/XML metadata structure for implementing eHealth ethics and creating trust globally. J Med Internet Res 2000; 2(2 Suppl):2E1.

  36. Fahy, E., Hardikar, R., Fox, A., and Mackay, S., Quality of patient health information on the Internet: reviewing a complex and evolving landscape. Australas Med J 7(1):24–8, 2014.

    Article  PubMed Central  PubMed  Google Scholar 

  37. Boyer, C., Baujard, V., and Geissbuhler, A., Evolution of health web certification through the HONcode experience. Stud Health Technol Inform 169:53–7, 2011.

    PubMed  Google Scholar 

  38. Alsos, O. A., Das, A., and Svanaes, D., Mobile health IT: the effect of user interface and form factor on doctor-patient communication. Int J Med Inform 81(1):12–28, 2012.

    Article  PubMed  Google Scholar 

  39. Andersen, P., Lindgaard, A., Prgomet, M., Creswick, N., and Westbrook, J. I., Mobile and fixed computer use by doctors and nurses on hospital wards: multi-method study on the relationships between clinician role, clinical task, and device choice. J Med Internet Res 11(3):e32, 2009.

    Article  PubMed Central  PubMed  Google Scholar 

  40. Reuss, E., Menozzi, M., Buchi, M., Koller, J., and Krueger, H., Information access at the point of care: what can we learn for designing a mobile CPR system? Int J Med Inform 73(4):363–9, 2004.

    Article  CAS  PubMed  Google Scholar 

  41. Jones, S. S., Rudin, R. S., Perry, T., and Shekelle, P. G., Health information technology: an updated systematic review with a focus on meaningful use. Ann Intern Med 160(1):48–54, 2014.

    Article  PubMed  Google Scholar 

  42. Fryefield, D. C., Staggs, S., Herman, W., Stickler, A., Ahmad, A., Patt, D. A., et al., Achieving the meaningful use standard: a model for implementing change within medical practices. J Oncol Pract 10(2):105, 2014.

    Article  PubMed  Google Scholar 

  43. Maglaveras, N., Chouvarda, I., Koutkias, V., Meletiadis, S., Haris, K., and Balas, E. A., Information Technology Can Enhance Quality in Regional Health Delivery. Nur erste Seite kopiert 41:393–400, 2002.

    CAS  Google Scholar 

  44. Jung, M., Hoerbst, A., Hackl, W. O., Kirrane, F., Borbolla, D., Jaspers, M. W., et al., Attitude of Physicians Towards Automatic Alerting in Computerized Physician Order Entry Systems. Methods Inf Med 52(2):99–108, 2013.

    Article  CAS  PubMed  Google Scholar 

  45. Martin, P., Haefeli, W. E., and Martin-Facklam, M., A drug database model as a central element for computer-supported dose adjustment within a CPOE system. J Am Med Inform Assoc 11(5):427–32, 2004.

    Article  PubMed Central  PubMed  Google Scholar 

  46. Brodin, N. P., Maraldo, M. V., Aznar, M. C., Vogelius, I. R., Petersen, P. M., Bentzen, S. M., et al., Interactive decision-support tool for risk-based radiation therapy plan comparison for Hodgkin lymphoma. Int J Radiat Oncol Biol Phys 88(2):433–45, 2014.

    Article  PubMed  Google Scholar 

  47. Lühr, A., Löck, S., Roth, K., Helmbrecht, S., Jakobi, A., Petersen, J. B., et al., Concept for individualized patient allocation: ReCompare–remote comparison of particle and photon treatment plans. Radiat Oncol 9:59, 2014.

    Article  PubMed Central  PubMed  Google Scholar 

  48. Cases, M., Furlong, L. I., Albanell, J., Altman, R. B., Bellazzi, R., Boyer, S., et al., Improving data and knowledge management to better integrate health care and research. J Intern Med 274(4):321–8, 2013.

    Article  CAS  PubMed  Google Scholar 

  49. Köpcke, F., Trinczek, B., Majeed, R. W., Schreiweis, B., Wenk, J., Leusch, T., et al., Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence. BMC Med Inform Decis Mak 13:37, 2013.

    Article  PubMed Central  PubMed  Google Scholar 

  50. Ganzinger, M., Noack, T., Diederichs, S., Longerich, T., and Knaup, P., Service oriented data integration for a biomedical research network. Stud Health Technol Inform 169:867–71, 2011.

    PubMed  Google Scholar 

  51. Ganzinger M, Knaup P. Semantic prerequisites for data sharing in a biomedical research network. Stud Health Technol Inform; 192:938.

  52. Cesario A, Auffray C, Russo P, Hood L. P4 Medicine Needs P4 Education. Curr Pharm Des 2014.

  53. Overby, C. L., and Tarczy-Hornoch, P., Personalized medicine: challenges and opportunities for translational bioinformatics. Per Med 10(5):453–62, 2013.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  54. Alfredo C, Charles A, Alvar A, Giovanni A, Rudi B, Piero B et al. A Systems Medicine Clinical Platform for Understanding and Managing Non-Communicable Diseases. Curr Pharm Des 2014.

  55. Lagu, T., Kaufman, E. J., Asch, D. A., and Armstrong, K., Content of Weblogs Written by Health Professionals. J Gen Intern Med 23(10):1642–6, 2008.

    Article  PubMed Central  PubMed  Google Scholar 

  56. Beuscart, R., Know thyself. Methods Inf Med 52(6):536–7, 2013.

    CAS  PubMed  Google Scholar 

  57. Elkin, P. L., Brown, S. H., and Wright, G., Biomedical Informatics: We Are What We Publish. Methods Inf Med 52(6):538–46, 2013.

    Article  CAS  PubMed  Google Scholar 

  58. Geissbuhler, A., Hammond, W. E., Hasman, A., Hussein, R., Koppel, R., Kulikowski, C. A., et al., Discussion of “Biomedical informatics: we are what we publish”. Methods Inf Med 52(6):547–62, 2013.

    CAS  PubMed  Google Scholar 

  59. Maojo, V., García-Remesal, M., Bielza, C., Crespo, J., Perez-Rey, D., and Kulikowski, C., Biomedical informatics publications: a global perspective: part I: conferences. Methods Inf Med 51(1):82–90, 2012.

    Article  CAS  PubMed  Google Scholar 

  60. Maojo, V., Garcia-Remesal, M., Bielza, C., Crespo, J., Perez-Rey, D., and Kulikowski, C., Biomedical informatics publications: a global perspective. Part II: Journals. Methods Inf Med 51(2):131–7, 2012.

    CAS  Google Scholar 

  61. Shortliffe, E. H., The future of biomedical informatics: a perspective from academia. Stud Health Technol Inform 180:19–24, 2012.

    PubMed  Google Scholar 

  62. Haux R. On Determining Factors for Good Research in Biomedical and Health Informatics - Some Lessons Learned. Yearb Med Inform; 2014.

Download references

Acknowledgments

We deeply acknowledge the support of Werner O. Hackl in the conduction of the web-based survey.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Petra Knaup.

Additional information

This article is part of the Topical Collection on Special Issue: Health Care in the Information Society - a Prognosis for the Year 2013

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Knaup, P., Ammenwerth, E., Dujat, C. et al. Assessing the Prognoses on Health Care in the Information Society 2013 - Thirteen Years After. J Med Syst 38, 73 (2014). https://doi.org/10.1007/s10916-014-0073-6

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s10916-014-0073-6

Keywords

Navigation