{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T08:20:41Z","timestamp":1771230041488,"version":"3.50.1"},"reference-count":36,"publisher":"Georg Thieme Verlag KG","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background\u2003Automation of health care workflows has recently become a priority. This can be enabled and enhanced by a workflow monitoring tool (WMOT).<\/jats:p><jats:p>\n          Objectives\u2003We shared our experience in clinical workflow analysis via three cases studies in health care and summarized principles to design and develop such a WMOT.<\/jats:p><jats:p>\n          Methods\u2003The 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.<\/jats:p><jats:p>\n          Results\u2003Three 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.<\/jats:p><jats:p>\n          Discussion\u2003We 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.<\/jats:p>","DOI":"10.1055\/s-0041-1741480","type":"journal-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T23:38:48Z","timestamp":1642635528000},"page":"132-138","source":"Crossref","is-referenced-by-count":10,"title":["Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation"],"prefix":"10.1055","volume":"13","author":[{"given":"Danny T.Y.","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Cincinnati College of Medicine, Ohio, United States"},{"name":"Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States"}]},{"given":"Lindsey","family":"Barrick","sequence":"additional","affiliation":[{"name":"Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States"},{"name":"Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States"}]},{"given":"Mustafa","family":"Ozkaynak","sequence":"additional","affiliation":[{"name":"College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, United States"}]},{"given":"Katherine","family":"Blondon","sequence":"additional","affiliation":[{"name":"Medical and Quality Directorate, University Hospitals of Geneva, Geneva, Switzerland"},{"name":"Faculty of Medicine, University of Geneva, Geneva, 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