Optimizing a decision support system for damage control resuscitation using mixed methods human factors analysis

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Daniela Schmulevich ◽  
Pamela Z. Cacchione ◽  
Sara Holland ◽  
Kristin Quinlan ◽  
Alyson Hinkle ◽  
...  
2013 ◽  
Vol 694-697 ◽  
pp. 2476-2482
Author(s):  
Ang Li ◽  
Jin Yun Pu

An intelligent decision support system in damage control of damaged ship combined with data mining is constructed in this paper. The human-computer interaction subsystem, the database management subsystem, the model management subsystem and the knowledge management subsystem are introduced in detail and some programming technologies of the system are displayed. The pivotal technology of the realization of this system is discussed briefly at last.


2017 ◽  
Vol 24 (3) ◽  
pp. 227-236 ◽  
Author(s):  
Amina Tariq ◽  
Johanna Westbrook ◽  
Mary Byrne ◽  
Maureen Robinson ◽  
Melissa T. Baysari

2014 ◽  
Vol 05 (02) ◽  
pp. 571-588 ◽  
Author(s):  
I. Cho ◽  
H. Han ◽  
S. Phansalkar ◽  
D.W. Bates ◽  
J. Lee

SummaryObjective: The Instrument for Evaluating Human-Factor Principles in Medication-Related Decision Support Alerts (I-MeDeSA) was developed recently in the US with a view towards improving considerations of human-factor principles when designing alerts for clinical decision support (CDS) systems. This study evaluated the generalizability of this tool, in cooperation with its authors, across cultures by applying it to a Korean system. We also examined opportunities to promote user acceptance of the system.Methods: We developed a Korean version of the I-MeDeSA (K-I-MeDeSA) and used it to evaluate drug-drug interaction alerts in a large academic tertiary hospital in Seoul. We involved four reviewers (A, B, C, and D). Two (A and B) conducted the initial independent scoring, while the other two (C and D) performed a final review and assessed feedback from the initial reviewers. The obtained scores were compared with those from 13 previously reported CDS systems. The feedback was summarized qualitatively.Results: The translation of the I-MeDeSA had excellent interrater agreement in terms of face validity (scale-level content validity index = 0.95). The system’s K-I-MeDeSA score was 10 out of 26, with a good agreement between reviewers (κ = 0.77), which showed a lack of human-factor considerations. The reviewers readily identified two of the nine principles that needed primary improvement: prioritization and text-based information. The reviewers also expressed difficulty judging the following four principles: alarm philosophy, visibility, color, and learnability and confusability. Conclusion: The K-I-MeDeSA was semantically and operationally equivalent to the original tool. Only minor cultural problems were identified, leading the reviewers to suggest the need for clarification of certain words plus a more detailed description of the tool’s rationale and exemplars. Further evaluation is needed to empirically assess whether the implementation of changes in an electronic health record system could improve the adoption of CDS alerts.Citation: Cho I, Lee J, Han H, Phansalkar S, Bates DW. Evaluation of a Korean version of a tool for assessing the incorporation of human factors into a medicationrelated decision support system: the I-MeDeSA. Appl Clin Inf 2014; 5: 571–588 http://dx.doi.org/10.4338/ACI-01-RA-0005


PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0193187 ◽  
Author(s):  
Derk L. Arts ◽  
Stephanie K. Medlock ◽  
Henk C. P. M. van Weert ◽  
Jeremy C. Wyatt ◽  
Ameen Abu-Hanna

2019 ◽  
Vol 7 (3) ◽  
pp. e9869 ◽  
Author(s):  
Daniel Vitório Silveira ◽  
Milena Soriano Marcolino ◽  
Elaine Leandro Machado ◽  
Camila Gonçalves Ferreira ◽  
Maria Beatriz Moreira Alkmim ◽  
...  

2012 ◽  
Vol 39 (9) ◽  
pp. 8204-8211 ◽  
Author(s):  
F. Calabrese ◽  
A. Corallo ◽  
A. Margherita ◽  
A.A. Zizzari

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