AdEQUATE – A model for evaluating software quality of telemedicine and telehealth systems

AdEQUATE is a lightweight model to evaluate the degree of software quality perceived by the end user of telemedicine or telehealth systems.

The model has been developed by systematically decomposing the evaluation goal into measures and defining a data collection instrument.

It provides a ready-to-use kit (including a questionnaire and analysis spreadsheet) to software engineers, e-health policy makers and researchers to evaluate the software quality of information systems designed for either telehealth or more specific telemedicine applications.

As the model is applied in a one-shot post-test research design it can be used quickly in a non-intrusive way by a sample of users with different degrees of experiences with the system (ranging from users that are highly familiar with the system to users that have starting to use the system recently and/or in the end of usability tests).

Try it out! Access the evaluation kit for free (creative commons)  in English or Brazilian Portuguese:

Please share your data with us in order to help us improving the model (via email:

Any  improvement suggestions or comments, please get in contact (

Check out our publications on AdEQUATE:

  • J. M. Alves. The AdEQUATE Model: Software Quality Evaluation Model for Telemedicine and Telehealth Systems. 2017. Dissertação (Programa de Pós-Graduação em Ciência da Computação (PPGCC)) – Universidade Federal de Santa Catarina.
  • J. M. Alves et al. Quality Evaluation of Poison Control Information Systems: A Case Study of the DATATOX System. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), Belfast and Dublin, Ireland, 2016, pp. 30-35.
  • J. M. Alves, A. Savaris, C. Gresse von Wangenheim and A. v. Wangenheim. Software Quality Evaluation of the Laboratory Information System used in the Santa Catarina State Integrated Telemedicine and Telehealth System. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), Belfast and Dublin, Ireland, 2016, pp. 76-81.
  • A. S. Inácio; Savaris, A ; Alves, J. M. ; Wangenheim, A. V.  GISTelemed: an Online-based GIS Approach to Epidemiological Analysis in Telemedicine Systems.  38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016, Orlando.
  • J. M. Alves, C. Gresse von Wangenheim, T. C. Lacerda, A. Savaris and A. von Wangenheim. AdEQUATE Software Quality Evaluation Model v1.0.  INCoD/GQS.05.2015.E (December/2015)


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Warranty disclaimer