Literature DB >> 22427175

How to measure the QoS of a web-based EHRs system: development of an instrument.

Isabel de la Torre-Díez1, Miguel López-Coronado, Joel J P C Rodrigues.   

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.

Mesh:

Year:  2012        PMID: 22427175     DOI: 10.1007/s10916-012-9845-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  12 in total

1.  Web 2.0: easy tools for busy clinicians.

Authors:  Julia C Phillippi; Margaret Buxton
Journal:  J Midwifery Womens Health       Date:  2010 Sep-Oct       Impact factor: 2.388

2.  Performance evaluation of a web-based system to exchange Electronic Health Records using Queueing model (M/M/1).

Authors:  Isabel de la Torre; Francisco Javier Díaz; Míriam Antón; Mario Martínez; José Fernando Díez; Daniel Boto; Miguel López; Roberto Hornero; María Isabel López
Journal:  J Med Syst       Date:  2010-07-15       Impact factor: 4.460

3.  Choosing the most efficient database for a web-based system to store and exchange ophthalmologic health records.

Authors:  Isabel de la Torre; Francisco Javier Díaz; Miriam Antón; Jose Fernando Díez; Beatriz Sainz; Miguel López; Roberto Hornero; María Isabel López
Journal:  J Med Syst       Date:  2010-01-12       Impact factor: 4.460

4.  Medical guidelines presentation and comparing with Electronic Health Record.

Authors:  Arnost Veselý; Jana Zvárová; Jan Peleska; David Buchtela; Zdenek Anger
Journal:  Int J Med Inform       Date:  2005-09-13       Impact factor: 4.046

5.  Electronic patient record systems and the general practitioner: an evaluation study.

Authors:  K Mäkelä; I Virjo; J Aho; P Kalliola; A-M Koivukoski; H Kurunmäki; M Kähärä; L Uusitalo; M Valli; V Vuotari; S Ylinen
Journal:  J Telemed Telecare       Date:  2005       Impact factor: 6.184

6.  Web-based patient records and treatment guidelines in paediatric oncology.

Authors:  Adilson Yuuji Hira; Thiago Tognoli Lopes; André Nebel de Mello; Vicente Odone Filho; Marcelo Knörich Zuffo; Roseli de Deus Lopes
Journal:  J Telemed Telecare       Date:  2005       Impact factor: 6.184

7.  Evaluating telemedicine systems and services.

Authors:  Paul Taylor
Journal:  J Telemed Telecare       Date:  2005       Impact factor: 6.184

8.  Measuring effectiveness of electronic medical records systems: towards building a composite index for benchmarking hospitals.

Authors:  George Ochieng Otieno; Toyama Hinako; Asonuma Motohiro; Koide Daisuke; Naitoh Keiko
Journal:  Int J Med Inform       Date:  2008-03-04       Impact factor: 4.046

Review 9.  Educational impact of the electronic medical record.

Authors:  Paul J Schenarts; Kimberly D Schenarts
Journal:  J Surg Educ       Date:  2012 Jan-Feb       Impact factor: 2.891

10.  Adoption of electronic health records in Korean tertiary teaching and general hospitals.

Authors:  Dukyong Yoon; Byung-Chul Chang; Seong Weon Kang; Hasuk Bae; Rae Woong Park
Journal:  Int J Med Inform       Date:  2011-12-27       Impact factor: 4.046

View more
  1 in total

1.  MIRASS: medical informatics research activity support system using information mashup network.

Authors:  M L M Kiah; B B Zaidan; A A Zaidan; Mohamed Nabi; Rabiu Ibraheem
Journal:  J Med Syst       Date:  2014-04-04       Impact factor: 4.460

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.