Evidence map›Paper›PMID 41019254›Full record

ArticleJournal of clinical informatics2025

An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development.

Muhammad Amith, Yue Yu, Yuheng Shi, Brooks Cash, Barani Mayilvaganan, Anirudh Babu, Yang Gong

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Journal of clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Muhammad AmithDepartment of Biostatistics and Data Science, School of Public and Population Health, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0000-0003-4333-1857
Yue YuDepartment of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.ORCID 0000-0002-0860-6643
Yuheng ShiDepartment of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.ORCID 0000-0001-9483-4767
Brooks CashDepartment of Internal Medicine, McGovern School of Medicine, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.ORCID 0000-0002-8497-3349
Barani MayilvagananDepartment of Internal Medicine, McGovern School of Medicine, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Anirudh BabuDepartment of Biostatistics and Data Science, School of Public and Population Health, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0009-0008-4785-7956
Yang GongDepartment of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.ORCID 0000-0002-0864-8368

Funding

Standardizing and Harmonizing Behavioral and Social Science Research Factors in Alzheimer's Disease through Ontology-Based ApproachesU01AG088076 · NIA · MAYO CLINIC JACKSONVILLE · PI Jiang Bian, Cui Tao · 2024 to 2026
$2.3M
Transforming motivational interviewing into a computable model for automated patient diabetic counseling.R21DK134815 · NIDDK · UNIVERSITY OF TEXAS MED BR GALVESTON · PI MUHAMMAD FAHEEM AMITH · 2024 to 2026
$621k
AHRQ HHS R01 HS027846NIA NIH HHS U01 AG088076NIDDK NIH HHS R21 DK134815
6 · The paper itself

Abstract

Colonoscopy is a proven procedure for mitigating the incidence of colorectal cancers in late adulthood. Despite its effectiveness, colonoscopy preparation presents several challenges for patients, including issues with adherence and misunderstanding. Information and communication technology (ICT) tools may offer valuable support for modern patients. To enable such tools, computable knowledge bases are essential. In this paper, we describe the development of an ontology-based knowledge graph representing four laxative-based pre-colonoscopy procedures. We used the business process modeling and notation and OWL2 formalisms to manifest machine-readable artifacts that model processes of colonoscopy preparation. Future work will focus on integrating extended knowledge bases from biomedical ontologies and developing prototype ICT tools to support decision-making in colonoscopy preparation.

Indexed as

Consumer health informaticsKnowledge engineeringKnowledge graphOntologyProcess modelingSemantic web

Identifiers

PMID41019254
PMCPMC12461748

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.