Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

Critical Thinking II

Critical Thinking II

Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:

Formulating and Validating Nursing Diagnosis II

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...

Patient-centered Care

Patient-centered Care

Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...

Formulating and Validating Nursing Diagnosis I

Formulating and Validating Nursing Diagnosis I

A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains for...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The genetic control of growth rate: a systems biology study in yeast.

BMC systems biology·2012

Same author

Presence of somatic mutations in most early-stage pancreatic intraepithelial neoplasia.

Gastroenterology·2012

Same author

Terpenoids from root bark of Celastrus orbiculatus.

Phytochemistry·2011

Same author

Zero-order noise suppression with various space-shifting manipulations of reconstructed images in digital holography.

Applied optics·2011

Same author

Design, synthesis and insecticidal activities of novel pyrazole amides containing hydrazone substructures.

Pest management science·2011

Same author

Imbricate scales as a design construct for microsystem technologies.

Small (Weinheim an der Bergstrasse, Germany)·2011

Same journal

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

PPIGAN: Prediction of Protein-Protein Interactions Using Generative Adversarial Networks.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

Deep Structure-Enhanced Cell Clustering Model for Single-Cell RNA Sequencing Data.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

<i>Special Issue:</i> 13th International Conference on Computational Advances in Bio and Medical Sciences.

Journal of computational biology : a journal of computational molecular cell biology·2026

See all related articles

Search research articles

Home
Enhancing Clinical Note Generation With Icd-10, Clinical Ontology Knowledge Graphs, And Chain-of-thought Prompting Using Gpt-4.

Home
Enhancing Clinical Note Generation With Icd-10, Clinical Ontology Knowledge Graphs, And Chain-of-thought Prompting Using Gpt-4.

Related Experiment Video

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting

Ivan Makohon¹, Mohamad Najafi¹, Jian Wu¹

¹Department of Computer Science, Old Dominion University, Norfolk, Virginia, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology

|May 26, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

Large language models (LLMs) can enhance clinical note generation by using Chain-of-Thought (CoT) prompt engineering. This method, combining CoT with semantic search and knowledge graphs, improves LLM accuracy for electronic health records (EHRs).

Keywords:

Chain-of-Thought International Classification of Diseases (ICD) codes clinical note generation generative AI knowledge graph large language models

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Related Experiment Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Natural Language Processing

Background:

The Health Information Technology for Economic and Clinical Health (HITECH) Act and 21st Century Cures Act have increased electronic health record (EHR) data.
Physicians spend significant time manually writing clinical notes, impacting patient wait times and diagnostic speed.
Large language models (LLMs) show potential for generating human-like text, including clinical documentation.

Purpose of the Study:

To investigate the use of Chain-of-Thought (CoT) prompt engineering for improving LLM-based clinical note generation.
To enhance LLM clinical note generation by integrating semantic search results and clinical knowledge graphs.
To evaluate the effectiveness of advanced prompting techniques against standard methods for EHR data.

Main Methods:

Utilized International Classification of Diseases (ICD) codes and basic patient information as input for LLM prompts.
Implemented a hybrid approach combining traditional CoT with semantic search.
Integrated a knowledge graph derived from clinical ontology to enrich domain-specific information.
Tested the prompting technique on six clinical cases from the CodiEsp dataset using GPT-4.

Main Results:

The developed CoT prompting strategy, enhanced with semantic search and knowledge graphs, outperformed standard one-shot prompts.
Generated clinical notes demonstrated improved quality and domain-specific accuracy.
GPT-4, when guided by the advanced prompting technique, produced superior clinical notes compared to baseline methods.

Conclusions:

Advanced CoT prompt engineering, augmented with semantic search and knowledge graphs, is a promising method for improving LLM-based clinical note generation.
This approach can help reduce physician documentation time and potentially improve patient care efficiency.
Further research can explore scaling this technique across diverse clinical settings and EHR systems.