AIMC Topic: Current Procedural Terminology
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Evaluating Large Language Model's accuracy in current procedural terminology coding given operative note templates across various plastic surgery sub-specialties.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Apr 23, 2025
BACKGROUND: Manual CPT coding from operative notes is a time-intensive process that adds to the administrative burden in healthcare. Large Language Models (LLMs) offer a promising solution, but their accuracy in assigning CPT codes based on full oper...
Artificial Intelligence to Predict Billing Code Levels of Emergency Department Encounters.
Annals of emergency medicine
Sep 24, 2024
STUDY OBJECTIVE: To use artificial intelligence (AI) to predict billing code levels for emergency department (ED) encounters.
Systematic evaluation of common natural language processing techniques to codify clinical notes.
PloS one
Mar 7, 2024
Proper codification of medical diagnoses and procedures is essential for optimized health care management, quality improvement, research, and reimbursement tasks within large healthcare systems. Assignment of diagnostic or procedure codes is a tediou...
A tree based approach for multi-class classification of surgical procedures using structured and unstructured data.
BMC medical informatics and decision making
Nov 23, 2021
BACKGROUND: In surgical department, CPT code assignment has been a complicated manual human effort, that entails significant related knowledge and experience. While there are several studies using CPTs to make predictions in surgical services, litera...
Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders.
Artificial intelligence in medicine
Oct 29, 2018
Classification systems such as ICD-10 for diagnoses or the Swiss Operation Classification System (CHOP) for procedure classification in the clinical treatment are essential for clinical management and information exchange. Traditionally, classificati...
Artificial Intelligence: Who Pays and How?
Journal of the American College of Radiology : JACR
Jul 19, 2018
A numerical similarity approach for using retired Current Procedural Terminology (CPT) codes for electronic phenotyping in the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS).
BMC medical informatics and decision making
Dec 11, 2015
BACKGROUND: Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinical trials, require medical data in a consistent structured, coded format. Data heterogeneity limits s...
Exploring the Potential of GPT-4 in Creating Billing Codes from Clinic Notes.
Studies in health technology and informatics
May 15, 2025
Creating standardized billing codes from clinic notes is challenging due to the complexity of over 22,000 codes and the unstructured nature of medical records. This paper investigates how well GPT-4, can automate CPT/HCPCS codes generation. To assess...
Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.
Anesthesiology
Apr 1, 2020
BACKGROUND: Accurate anesthesiology procedure code data are essential to quality improvement, research, and reimbursement tasks within anesthesiology practices. Advanced data science techniques, including machine learning and natural language process...
Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2020
OBJECTIVE: Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innovation. Our objective was to compare adverse drug event (ADE) rates determined from two RWD sources, electronic health records and administrative claim...
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