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Evaluating the appropriateness of clinical decision support alerts: A case study
Author(s) -
Olakotan Olufisayo O.,
Yusof Maryati M.
Publication year - 2021
Publication title -
journal of evaluation in clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.737
H-Index - 73
eISSN - 1365-2753
pISSN - 1356-1294
DOI - 10.1111/jep.13488
Subject(s) - workflow , usability , clinical decision support system , value stream mapping , patient safety , computer science , process (computing) , knowledge management , decision support system , process management , medicine , medical emergency , data mining , health care , database , operations management , lean manufacturing , human–computer interaction , business , economics , economic growth , operating system
Rationale, aims, and objectives Clinical decision support (CDS) generates excessive alerts that disrupt the workflow of clinicians. Therefore, inefficient clinical processes that contribute to the misfit between CDS alert and workflow must be evaluated. This study evaluates the appropriateness of CDS alerts in supporting clinical workflow from a socio‐technical perspective. Method A qualitative case study evaluation was conducted at a 620‐bed public teaching hospital in Malaysia using interview, observation, and document analysis to investigate the features and functions of alert appropriateness and workflow‐related issues in cardiological and dermatological settings. The current state map for medication prescribing process was also modelled to identify problems pertinent to CDS alert appropriateness. Results The main findings showed that CDS was not well designed to fit into a clinician's workflow due to influencing factors such as technology (usability, alert content, and alert timing), human (training, perception, knowledge, and skills), organizational (rules and regulations, privacy, and security), and processes (documenting patient information, overriding default option, waste, and delay) impeding the use of CDS with its alert function. We illustrated how alert affect workflow in clinical processes using a Lean tool known as value stream mapping. This study also proposes how CDS alerts should be integrated into clinical workflows to optimize their potential to enhance patient safety. Conclusion The design and implementation of CDS alerts should be aligned with and incorporate socio‐technical factors. Process improvement methods such as Lean can be used to enhance the appropriateness of CDS alerts by identifying inefficient clinical processes that impede the fit of these alerts into clinical workflow.