Related Experiment Video
Updated: Aug 11, 2026
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Natural language generation in health care
A J Cawsey1, B L Webber, R B Jones
1Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, Scotland. alison@cee.hw.ac.uk
Generating well-written documents from structured health data using natural language generation improves communication. This technology enhances understanding and engagement for both healthcare professionals and patients.
Area of Science:
- Health Informatics
- Natural Language Processing
Background:
- Effective communication is crucial in healthcare settings.
- Structured health data can be challenging for direct comprehension.
- Automated document generation offers a potential solution.
Purpose of the Study:
- To explore the application of natural language generation (NLG) in healthcare.
- To demonstrate how NLG can transform structured data into understandable documents.
Main Methods:
- Utilizing natural language generation techniques.
- Dynamically selecting content, organization, and language based on audience and context.
Main Results:
- Automatically generated documents from structured data are more comprehensible and convincing.
- NLG has been successfully applied to create health education materials, decision support critiques, and medical reports.
Conclusions:
- Natural language generation is a valuable tool for improving healthcare communication.
- Automated document creation enhances the clarity and impact of health information.
More Related Videos
03:14Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Related Concept Videos
01:26Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies. Common...
01:13Patient-centered Care
01:30Guidelines for Nursing Documentation I
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
01:29Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities
01:30Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
01:27Nursing Clinical Information System
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: