ArticleApplied clinical informatics2022
Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation.
Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Team-Effectiveness Barriers and Solutions to Depression Screening within a Pediatric Hospital Network: A Qualitative Study.Evidence-based practice in child and adolescent mental health · 2026Article
- Development and application of desiderata for automated clinical ordering.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process.JAMIA open · 2024Article
- Cluster randomized trial of a team communication training implementation strategy for depression screening in a pediatric healthcare system: a study protocol.Implementation science communications · 2024Article
- Optimization of Electronic Health Record Usability Through a Department-Led Quality Improvement Process.Annals of family medicine · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundAutomation of health care workflows has recently become a priority. This can be enabled and enhanced by a workflow monitoring tool (WMOT).
objectivesWe shared our experience in clinical workflow analysis via three cases studies in health care and summarized principles to design and develop such a WMOT.
methodsThe case studies were conducted in different clinical settings with distinct goals. Each study used at least two types of workflow data to create a more comprehensive picture of work processes and identify bottlenecks, as well as quantify them. The case studies were synthesized using a data science process model with focuses on data input, analysis methods, and findings.
resultsThree case studies were presented and synthesized to generate a system structure of a WMOT. When developing a WMOT, one needs to consider the following four aspects: (1) goal orientation, (2) comprehensive and resilient data collection, (3) integrated and extensible analysis, and (4) domain experts. DISCUSSION: We encourage researchers to investigate the design and implementation of WMOTs and use the tools to create best practices to enable workflow automation and improve workflow efficiency and care quality.
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