TY - GEN
T1 - Nurse-led design and development of an expert system for pressure ulcer management
AU - Abranches, Débora
AU - O'Sullivan, Dympna
AU - Bird, Jon
PY - 2019/5/2
Y1 - 2019/5/2
N2 - The use of Clinical Practice Guidelines (CPGs) is known to enable better care outcomes by promoting a consistent way of treating patients. This paper describes a user-centered design approach involving nurses, to develop a prototype expert system for modelling CPGs for Pressure Ulcer management. The system was developed using Visirule, a software tool that uses a graphical approach to modeling knowledge. The system was evaluated by 5 staff nurses and compared nurses' time and accuracy to assess a wound using CPGs accessed via the Intranet of an NHS Trust and the expert system. A post task qualitative evaluation revealed that nurses found the system useable with a systematic design, that it increased access to CPGs by reducing time and effort required by other usual methods of access, that it provided opportunities for learning due to its interactive nature, and that its recommendations were more actionable that those provided by usual static CPG documents.
AB - The use of Clinical Practice Guidelines (CPGs) is known to enable better care outcomes by promoting a consistent way of treating patients. This paper describes a user-centered design approach involving nurses, to develop a prototype expert system for modelling CPGs for Pressure Ulcer management. The system was developed using Visirule, a software tool that uses a graphical approach to modeling knowledge. The system was evaluated by 5 staff nurses and compared nurses' time and accuracy to assess a wound using CPGs accessed via the Intranet of an NHS Trust and the expert system. A post task qualitative evaluation revealed that nurses found the system useable with a systematic design, that it increased access to CPGs by reducing time and effort required by other usual methods of access, that it provided opportunities for learning due to its interactive nature, and that its recommendations were more actionable that those provided by usual static CPG documents.
KW - Clinical Decision Support
KW - Expert System
KW - User Centered Design
UR - https://www.scopus.com/pages/publications/85067276808
U2 - 10.1145/3290607.3312958
DO - 10.1145/3290607.3312958
M3 - Conference Contribution (Conference Proceeding)
AN - SCOPUS:85067276808
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Y2 - 4 May 2019 through 9 May 2019
ER -