How to Use Lean Thinking for the Optimization of Clinical Pathways: A Systematic Review and a Proposed Framework to Analyze Pathways on a System Level

Author:

Vijverberg Joanna R. G.123ORCID,Rouppe van der Voort Marc B. V.4,van der Nat Paul B.35ORCID,Mosselman Machteld J.4,Rigter Sander6,Biesma Douwe H.78,van Merode Frits12ORCID

Affiliation:

1. Care and Public Health Research Institute, Maastricht University, 6200 MD Maastricht, The Netherlands

2. Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

3. Department of Value Improvement, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands

4. Department of Juiste Zorg, Juiste Plaats, Juiste Kosten, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands

5. Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare (IQ Healthcare), Radboud University Medical Center, 6525 EP Nijmegen, The Netherlands

6. Department of Anesthesiology and Intensive Care, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands

7. Department of Internal Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands

8. Department of Internal Medicine, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands

Abstract

Lean Thinking and clinical pathways are commonly used concepts to improve healthcare. However, little is known on how to use Lean Thinking for the optimization of pathways or the quantification of both concepts. This study aims to create a framework to analyze pathways with Lean Thinking on a system level, by quantifying the seven wastes, flow and pull. A systematic literature review was performed. Inclusion criteria were the focus of the article on a well-defined group of patients and studied a pathway optimization with Lean Thinking. Data were extracted on measured outcomes, type of intervention and type of researched pathway. Thirty-six articles were included. No articles described the implementation of the Lean Thinking philosophy or studied the development of their people and partners (“4 P” model). Most articles used process optimization tools or problem-solving tools. The majority of the studies focused on process measures. The measures found in the review were used as input for our suggested framework to identify and quantify wastes, flow, and pull in a clinical pathway. The proposed framework can be used to create an overview of the improvement potential of a pathway or to analyze the level of improvement after an enhancement is introduced to a pathway. Further research is needed to study the use of the suggested quantifications.

Funder

St. Antonius Ziekenhuis

Care And Public Health Research Institute (CAPHRI), Maastricht University

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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