TY - JOUR
T1 - A process model for quality in use evaluation of clinical decision support systems
AU - Souza-Pereira, Leonice
AU - Ouhbi, Sofia
AU - Pombo, Nuno
N1 - Funding Information:
This work is funded by FCT/MCTES through national funds and when applicable co-funded by FEDER—PT2020 partnership agreement under the project UIDB/EEA/50008/2020. (Este trabalho é financiado pela FCT/MCTES através de fundos nacionais e quando aplicável co-financiado por fundos comunitários no âmbito do projeto UIDB/EEA/50008/2020). This article is based upon work from COST Action IC1303-AAPELE-Architectures, Algorithms and Protocols for Enhanced Living Environments and COST Action CA162 26-SHELD-ON-Indoor living space improvement: Smart Habitat for the Elderly, supported by COST (European Cooperation in Science and Technology). More information in www.cost.eu. This study also is partially funded by UAEU.
Funding Information:
Leonice Souza-Pereira would like to thank the IFTM - Instituto Federal do Triângulo Mineiro, Uberlândia, Brasil, for their support, as well the Fundação para Ciência e a Tecnologia, Portugal and the United Arab Emirates University (UAEU).
Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/11
Y1 - 2021/11
N2 - Context: Clinical decision support systems (CDSSs) are used to help healthcare professionals in making decisions, offering them a tool for improved medical care practices based on monitoring and management procedures. Although CDSSs exhibit many advantages, challenges remain in terms of their adoption in the clinician community. One such issue is related to user satisfaction and the system reliability. Ensuring the quality of CDSSs is a way to improve their acceptance and adoption. Objective: This study aims to propose a process model for evaluation of the quality in use characteristics of a CDSS to identify deficiencies that reduce its use by healthcare professionals. Methods: We reviewed the existing literature on CDSS assessment and developed a process model based on the international standards ISO/IEC 25010 System and software quality models, and ISO/IEC 25022 Measurement of quality in use. To select measures for evaluating these characteristics, we adopted the Goal-Question-Metric (GQM) method. We evaluated the quality in use characteristics because they can represent system usability. Measurement of these characteristics helps us understand user needs, improve the user experience, and mitigate the low acceptance of CDSS, particularly by the primary users. Results: We developed a process model for measuring the quality in use (QiU) characteristics of CDSSs, explaining its applicability through an illustrative example focused on the characteristics of satisfaction and efficiency. Conclusion: We consider that the proposed process model will benefit the CDSS adoption and contribute to the improvement of the quality of such systems by measuring its QiU.
AB - Context: Clinical decision support systems (CDSSs) are used to help healthcare professionals in making decisions, offering them a tool for improved medical care practices based on monitoring and management procedures. Although CDSSs exhibit many advantages, challenges remain in terms of their adoption in the clinician community. One such issue is related to user satisfaction and the system reliability. Ensuring the quality of CDSSs is a way to improve their acceptance and adoption. Objective: This study aims to propose a process model for evaluation of the quality in use characteristics of a CDSS to identify deficiencies that reduce its use by healthcare professionals. Methods: We reviewed the existing literature on CDSS assessment and developed a process model based on the international standards ISO/IEC 25010 System and software quality models, and ISO/IEC 25022 Measurement of quality in use. To select measures for evaluating these characteristics, we adopted the Goal-Question-Metric (GQM) method. We evaluated the quality in use characteristics because they can represent system usability. Measurement of these characteristics helps us understand user needs, improve the user experience, and mitigate the low acceptance of CDSS, particularly by the primary users. Results: We developed a process model for measuring the quality in use (QiU) characteristics of CDSSs, explaining its applicability through an illustrative example focused on the characteristics of satisfaction and efficiency. Conclusion: We consider that the proposed process model will benefit the CDSS adoption and contribute to the improvement of the quality of such systems by measuring its QiU.
KW - CDSS
KW - Clinical decision support systems
KW - Evaluation model
KW - Quality in use
KW - Quality measures
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U2 - 10.1016/j.jbi.2021.103917
DO - 10.1016/j.jbi.2021.103917
M3 - Article
C2 - 34563692
AN - SCOPUS:85116006762
SN - 1532-0464
VL - 123
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
M1 - 103917
ER -