An Integrated Predictive Impact-Enhanced Process Mining Framework for Strategic Oncology Workflow Optimization: Case Study in Iran.

Mohammad Salehi, Raouf Khayami, Reza Akbari, Mirpouya Mirmozaffari

Abstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

Conformance-Aware Predictive Process Monitoring for Early Detection of Sepsis Deterioration Using Incomplete Care Pathways.Journal of clinical medicine · 2026
Article
A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation.PloS one · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohammad SalehiDepartment of Computer Engineering and IT, Shiraz University of Technology, Shiraz 13876-71557, Iran.ORCID 0009-0006-4391-2503

Raouf KhayamiDepartment of Computer Engineering and IT, Shiraz University of Technology, Shiraz 13876-71557, Iran.ORCID 0000-0002-6785-5893

Reza AkbariDepartment of Computer Engineering and IT, Shiraz University of Technology, Shiraz 13876-71557, Iran.

Mirpouya MirmozaffariDepartment of Industrial Engineering, Dalhousie University, 5269 Morris Street, Halifax, NS B3H 4R2, Canada.ORCID 0000-0003-2679-0488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Process Mining (PM) effectively diagnoses inefficiencies in complex healthcare workflows, such as chemotherapy protocols. However, current methodologies often remain retrospective or rely on loosely coupled simulations, leaving a critical methodological void: the inability to quantify the aggregate, system-wide operational impact of eliminating specific, diagnosed workflow deviations. This gap prevents decision-makers from forming evidence-based strategies for resource allocation. We address this by introducing the PM

Indexed as

bioengineeringchemotherapy workflowconformance checkingoncologyPM2predictive impact model (PIM)predictive modelingprocess miningworkflow optimization

Identifiers

PMID41463585

DOI10.3390/bioengineering12121288

PMCPMC12729846

What OpenQuestion holds

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Registered trials

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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.