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How to Measure the QoS of a Web-based EHRs System: Development of an Instrument

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Abstract

The quality of service (QoS) can be treated as a set of concepts whose satisfaction/dissatisfaction generates a global positive/negative vision about the service provided by any application. The different nature of the services and its features require an analysis of the factors that have the greatest influence on the users’ opinion and, therefore, measuring the quality of service in each application requires a specific instrument. This paper will introduce an instrument to measure the QoS offered to users by a general Web application for Electronic Health Records (EHRs). The collection of opinions from a pilot sample and the performance of an explanatory factor analysis will bring together the factors that best sum up the quality of an EHRs application. Subsequently, a confirmatory factor analysis will be performed to make the study reliable and, as its name suggests, to confirm that indeed the structure of the instrument developed measures the QoS in accordance with the requirements of the users.

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References

  1. Phillippi, J. C., and Buxton, M., Web 2.0: Easy tools for busy clinicians. J. Midwifery Womens Health 55(5):472–476, 2010.

    Article  Google Scholar 

  2. Taylor, P., Evaluating telemedicine systems and services. J. Telemed. Telecare 11:167–177, 2005.

    Article  Google Scholar 

  3. Otieno, G. O., Hinako, T., Motohiro, A., Daisuke, K., and Keiko, N., Measuring effectiveness of electronic medical records systems: Towards building a composite index for benchmarking hospitals. Int. J. Med. Inform. 77(10):657–669, 2008.

    Article  Google Scholar 

  4. Karagiannis, G. E., Stamatopoulos, V. G., Rigby, M., Kotis, T., Negroni, E., Munoz, A., and Mathes, I., Web-based personal health records: the personal electronic health record (pEHR) multicentred trial. J. Telemed. Telecare 13:32–34, 2007.

    Article  Google Scholar 

  5. Mäkelä, K., Virjo, I., Aho, J., Kalliola, P., Koivukoski, A. M., Kurunmäki, H., Kähärä, M., Uusitalo, L., Valli, M., Vuotari, V., and Ylinen, S., Electronic patient record systems and the general practitioner: An evaluation study. J. Telemed. Telecare 11:66–68, 2005.

    Article  Google Scholar 

  6. Hira, A. Y., et al., Web-based patient records and treatment guidelines in paediatric oncology. J. Telemed. Telecare 11:53–55, 2005.

    Article  Google Scholar 

  7. Yoon, D., Chang, B. C., Kang, S. W., Bae, H., and Park, R. W., Adoption of electronic health records in Korean tertiary teaching and general hospitals. Int. J. Med. Inform. 81(3):196–203, 2012.

    Article  Google Scholar 

  8. Schenarts, P. J., and Schenarts, K. D., Educational impact of the electronic medical record. J. Surg. Educ. 69(1):105–112, 2012.

    Article  Google Scholar 

  9. Argüello, M., Des, J., Fernández, J., Pérez, R., and Paniagua, H., Executing medical guidelines on the web: Towards next generation healthcare. Knowl.-Base. Syst. 22(7):545–551, 2009.

    Article  Google Scholar 

  10. Huang, E. W., Hsiao, S. H., and Liou, D. M., Design and implementation of a web-based HL7 message generation and validation system. Int. J. Med. Inform. 70(1):49–58, 2003.

    Article  Google Scholar 

  11. Veselý, A., Zvárová, J., Peleška, J., Buchtela, D., and Anger, Z., Medical guidelines presentation and comparing with Electronic Health Record. Int. J. Med. Inform. 75(3–4):240–245, 2006.

    Article  Google Scholar 

  12. Esper, G. J., Drogan, O., Henderson, W. S., Becker, A., Avitzur, O., and Hier, D. B., Health information technology and electronic health records in neurologic practice. Neurol. Clin. 28(2):411–427, 2010.

    Article  Google Scholar 

  13. Byrne, B. M., Structural equation modeling with AMOS. Basis concepts, applications and programming. Multivariate application book series. pp. 107–141, 2001.

  14. Sweeney, J. C., and Lapp, W., Critical service quality encounters in the Web: An exploratory study. J. Serv. Market. 18(3):276–289, 2004.

    Article  Google Scholar 

  15. Zeithaml, V. A, Parasuraman, A., Malhotra, A., A conceptual framework for understanding e-service quality: Implications for future research and managerial practice. Marketing Science Institute, 2000.

  16. Jun, M., Yang, Z., and Kim, D., Customers’ perceptions online retailing service quality and their satisfaction. Int. J. Qual. Reliab. Manag. 21(8):817–840, 2004.

    Article  Google Scholar 

  17. Vincent, S. L., and Honglei, L., Technology acceptance model for internet banking: An invariance analysis. Inf. Manage. 42(2):373–386, 2005.

    Article  Google Scholar 

  18. Liu, C., Du, T., and Tsai, H., A study of the service quality of general portals. Inf. Manage. 46:52–56, 2009.

    Article  Google Scholar 

  19. Barnes, S., and Virgen, R., An evaluation of cyber-bookshops: The WebQual method. Int. J. Electron. Commerce 6(1):11–30, 2001.

    Google Scholar 

  20. De la Torre-Díez, I., et al., Choosing the most efficient database for a Web-based system to store and exchange Ophthalmologic Health Records. J. Med. Syst. 35(6):1455–1464, 2011.

    Article  Google Scholar 

  21. De la Torre-Díez, I. et al., Performance evaluation of a Web-based system to exchange Electronic Health Records using queueing model (M/M/1). J. Med. Syst., 2010. (In press). doi: 10.1007/s10916-010-9555-3.

  22. Bernstein, I. H., Likert scale analysis. University of Texas, Arlington, Arlington, 2005.

    Google Scholar 

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Acknowledgements

This work has been partially supported by the Instituto de Telecomunicações, Next Generation Networks and Applications Group (NetGNA), Portugal, by National Funding from the FCT—Fundação para a Ciência e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project.

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The authors declare that there is no conflict of interest with the contents of this manuscript.

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Correspondence to Isabel de la Torre-Díez.

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de la Torre-Díez, I., López-Coronado, M. & Rodrigues, J.J.P.C. How to Measure the QoS of a Web-based EHRs System: Development of an Instrument. J Med Syst 36, 3725–3731 (2012). https://doi.org/10.1007/s10916-012-9845-z

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  • DOI: https://doi.org/10.1007/s10916-012-9845-z

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