ArticleSystematic reviews2026
The application of process mining for clinical pathways: a systematic literature review protocol.
Article in Systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProcess mining is increasingly utilized in healthcare to analyze and optimize clinical pathways, offering opportunities to enhance care efficiency and patient outcomes. This systematic review aims to synthesize evidence on the application of process mining to clinical pathways, focusing on its impact on patient outcomes, operational efficiency, and pathway structure.
methodsA systematic search will be conducted in MEDLINE, Embase, Google Scholar, Web of Science, and ABI/Inform for studies published from 1999 onward. Eligible studies include observational studies, case reports, conference papers, and meta-analyses focusing on process mining applications to clinical pathways in hospital settings. Two independent reviewers will screen studies, extract data, and assess quality using the Mixed Methods Appraisal Tool (MMAT). Data will be extracted considering several pieces of information such as clinical pathway, settings, health outcomes, costs, and indicators, and will be presented in a structured format. A narrative synthesis will be conducted, and findings will be categorized and thematically analysed where possible. Disagreements will be resolved through consensus. Primary outcomes include improvements in care efficiency, patient flow, compliance with clinical guidelines, and reduction in delays or resource use. Secondary outcomes include challenges and limitations in applying process mining techniques. DISCUSSION: This review will provide a comprehensive synthesis of process mining applications in clinical pathways, highlighting successful strategies, key challenges, and future opportunities. Findings will inform healthcare professionals, policymakers, and researchers on leveraging process mining to optimize clinical care. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42024584540.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.