Background: The Unified Medical Language System (UMLS) maps relationships between and within >100 biomedical vocabularies, including Current Procedural Terminology (CPT) codes, creating a powerful knowledge resource which can accelerate clinical research.
Methods: We used synonymy and concepts relating hierarchical structure of CPT codes within the UMLS, (1) guiding surgical experts in expanding the Operative Stress Score (OSS) from 565 originally rated CPT codes to additional, 1,853 related procedures; (2) establishing validity of the association between the added OSS ratings and 30-day outcomes in VASQIP (2015-2018).
Results: The UMLS Metathesaurus and Semantic Network was converted into an interactive graph database (https://github.com/dbmi-pitt/UMLS-Graph) delineating ontology relatedness. From this UMLS-graph, the CPT hierarchy was queried obtaining all paths from each code to the hierarchical apex. Of 1,853 added ratings, 43% and 76% were siblings and cousins of original OSS CPT codes. Of 857,577 VASQIP cases (mean age, 64±11years; 91% male; 75% white), 786,122 (92%) and 71,455 (8%) were rated in the original and added OSS. Compared to original, added OSS cases included more females (14% versus 9%) and frail patients (25% versus 19%) undergoing high stress procedures (11% versus 8%; all P <.001). Postoperative mortality consistently increased with OSS. Very low stress procedures had <0.5% (original, 0.4% [95%CI, 0.4%-0.5%] versus added, 0.9% [95%CI, 0.6%-1.2%]) and very high 3.8% (original, 3.5% [95%CI, 3.0%-4.0%] versus added, 5.8% [95%CI, 4.6-7.3%]) mortality rates.
Conclusions: The synonymy and concepts relating biomedical data within the UMLS can be abstracted and efficiently used to expand the utility of existing clinical research tools.
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http://dx.doi.org/10.1016/j.jss.2021.07.030 | DOI Listing |
Appl Clin Inform
January 2025
Divison of Quantitative and Clinical Sciences, Vanderbilt University Medical Center, Nashville, United States.
Background: The use of Electronic Health Records (EHRs) in research demands robust, interoperable systems. By linking biorepositories to EHR algorithms, researchers can efficiently identify cases and controls for large observational studies (e.g.
View Article and Find Full Text PDFQual Manag Health Care
January 2025
Author Affiliations: Source Healthcare, Santa Monica, California.
Background And Objectives: Retrospective studies examining errors within a surgical scheduling setting do not fully represent the effects of human error involved in transcribing critical patient health information (PHI). These errors can negatively impact patient care and reduce workplace efficiency due to insurance claim denials and potential sentinel events. Previous reports underscore the burden physicians face with prior authorizations which may lead to serious adverse events or the abandonment of treatment due to these delays.
View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Large language models (LLMs) have been utilized to automate tasks like writing discharge summaries and operative reports in neurosurgery. The present study evaluates their ability to identify current procedural terminology (CPT) codes from operative reports. Three LLMs (ChatGPT 4.
View Article and Find Full Text PDFThyroid
January 2025
Department of Surgery, the Florida University School of Medicine, Tampa, Florida, USA.
Plast Reconstr Surg Glob Open
January 2025
Department of Orthopaedic Surgery, Emory University School of Medicine, Atlanta, GA.
Background: Interphalangeal joint (IPJ) arthrodesis and arthroplasty are mainstay treatments for IPJ arthritis with conflicting evidence about the most efficacious choice. Our study describes case volume and incidence over the last decade (2010-2019).
Methods: The IBM MarketScan database was queried using Current Procedural Terminology codes for IPJ arthrodesis and arthroplasty from January 2010 to December 2019.
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