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Appl Clin Inform 2022; 13(01): 132-138
DOI: 10.1055/s-0041-1741480
Special Section on Workflow Automation

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

Danny T.Y. Wu
1   Department of Biomedical Informatics, University of Cincinnati College of Medicine, Ohio, United States
2   Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States
,
Lindsey Barrick
3   Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States
2   Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States
,
Mustafa Ozkaynak
4   College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, United States
,
Katherine Blondon
5   Medical and Quality Directorate, University Hospitals of Geneva, Geneva, Switzerland
6   Faculty of Medicine, University of Geneva, Geneva, Switzerland
,
Kai Zheng
7   Department of Informatics, University of California, Irvine, Irvine, California, United States
› Author Affiliations Funding None.
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Abstract

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.

Keywords

workflow (L01.906.893) - data collection (E05.318.308) - data analysis (H01.548.338) - expert systems (L01.224.050.375.190)

Protection of Human and Animal Subjects

No human and/or animal subjects were included.


Author Contributions

The first author drafted the manuscript. All coauthors helped improve the clarity and value of the manuscript by reviewing and revising the manuscript and contributed significantly to the synthesis of the major takeaways, that is, the four principles to developing a WMOT.




Publication History

Received: 01 June 2021

Accepted: 22 November 2021

Article published online:
19 January 2022

© 2022. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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