Use of mind maps and iterative decision trees to develop a guideline-based clinical decision support system for routine surgical practice: case study in thyroid nodules Article Swipe
Hyeong Won Yu
,
Maqbool Hussain
,
Muhammad Afzal
,
Taqdir Ali
,
June Young Choi
,
Ho‐Seong Han
,
Sungyoung Lee
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/jamia/ocz001
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/jamia/ocz001
Objective The study sought to develop a clinical decision support system (CDSS) for the treatment of thyroid nodules, using a mind map and iterative decision tree (IDT) approach to the integration of clinical practice guidelines (CPGs). Materials and Methods Thyroid nodule CPGs of the American Thyroid Association and Korean Thyroid Association were analyzed by endocrine surgeons (domain experts) and computer scientists. Clinical knowledge from the CPGs was expressed using mind maps. The mind maps were analyzed and converted into IDTs. The final IDT was implemented as a set of candidate rules (3700) for a knowledge-based CDSS. The system was evaluated via a retrospective review of the medical records of 483 patients who had undergone thyroidectomy between January and December 2015 at a single tertiary center (Seoul National University Hospital Bundang, Korea). Results Concordance between CDSS recommendations and treatment in routine clinical practice was 78.9%. In the 21.1% discordant cases, deviation from the CDSS treatment recommendation was mainly attributable to (1) refusal of the patient to undergo total thyroidectomy and (2) conversion from lobectomy to total thyroidectomy following an unexpected histological finding during intraoperative frozen biopsy lymph node analysis. Conclusions The present study demonstrated that a knowledge-based CDSS is feasible in the treatment of thyroid nodules. A high-quality knowledge-based CDSS was developed, and medical domain and computer scientists collaborated effectively in an integrated development environment. The mind map and IDT approach represents a pioneering method of integrating knowledge from CPGs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/jamia/ocz001
- OA Status
- green
- Cited By
- 18
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2941304542
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2941304542Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/jamia/ocz001Digital Object Identifier
- Title
-
Use of mind maps and iterative decision trees to develop a guideline-based clinical decision support system for routine surgical practice: case study in thyroid nodulesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-06Full publication date if available
- Authors
-
Hyeong Won Yu, Maqbool Hussain, Muhammad Afzal, Taqdir Ali, June Young Choi, Ho‐Seong Han, Sungyoung LeeList of authors in order
- Landing page
-
https://doi.org/10.1093/jamia/ocz001Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/7788312Direct OA link when available
- Concepts
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Thyroid nodules, Medicine, Guideline, Thyroidectomy, Thyroid, Clinical decision support system, Concordance, Retrospective cohort study, Medical record, Medical physics, General surgery, Decision support system, Radiology, Computer science, Surgery, Data mining, Internal medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 9, 2023: 2, 2022: 1, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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