Scientific article

Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation

Published inApplied clinical informatics, vol. 13, no. 1, p. 132-138
Publication date2022-01
First online date2022-01-19

Background: Automation of health care workflows has recently become a priority. This can be enabled and enhanced by a workflow monitoring tool (WMOT).

Objectives: We shared our experience in clinical workflow analysis via three cases studies in health care and summarized principles to design and develop such a WMOT.

Methods: The 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.

Results: Three 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.

  • Workflow
  • Data collection
  • Data analysis
  • Expert systems
Citation (ISO format)
WU, Danny T Y et al. Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation. In: Applied clinical informatics, 2022, vol. 13, n° 1, p. 132–138. doi: 10.1055/s-0041-1741480
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Article (Published version)
ISSN of the journal1869-0327

Technical informations

Creation02/02/2022 9:40:00 AM
First validation02/02/2022 9:40:00 AM
Update time03/16/2023 2:38:35 AM
Status update03/16/2023 2:38:35 AM
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