Target Population

Nurse 2. Medical Team

Description

Healthcare and IT experts have collaborated across domains to develop an "Assistive Nursing Record Processing Device" to address pain points such as time-consuming nursing records and the difficulty of recognizing mixed Chinese and English languages. This device utilizes Generative AI (GAI) to automate nursing records.
Core Technologies and Functions:
Efficient Automatic Speech Recognition (ASR): Overcomes recognition barriers presented by mixed Chinese and English medical terms and drug names. Nurses only need to narrate via mobile phone, and the system can accurately convert speech to text, eliminating the need for manual, repetitive corrections.
LLM Automatic Writing: Combines large language models to automatically generate descriptive nursing records that comply with medical standards from the spoken content.
Semantic Voice Command Integration:
Supports real-time voice commands to interface with external data such as medication, lab results, and vital signs, achieving one-click integration. Through automated workflows, it reduces the documentation burden and enhances recording efficiency and accuracy, allowing nurses to dedicate more time to patient care.

Key Highlights

The system is composed of three major modules: the "Nursing Record Generation Module," the "Retraining Module," and the "Backend Management Module." This project conducted a complete evaluation of information technology implementation from the perspectives of demand, technology, and cost, utilizing GAI to build an AI nurse.

Nurses can use voice input to narrate care records. The content is converted to text via ASR, then corrected and standardized by the LLM to generate nursing records that meet internal hospital standards.

During the narration process, nurses can also simultaneously issue voice commands to execute corresponding tasks, assisting in the collation of nursing records. After the nurse edits and confirms the draft, it is converted into a formal nursing record, further saving the time nurses spend manually entering records.

Digital Nursing

ChatGPT Assisted Nursing Records

Build a ChatGPT Nursing Docs System to boost efficiency and workplace friendliness. An AI monitoring platform will ensure transparency, explainability, safety, and continuous optimization.

Organization

Kuang Tien General Hospital

Specialties/Units

Nursing Department, Information Department

Certification Year

2025

Target Population

Nurse 2. Medical Team

Description

Healthcare and IT experts have collaborated across domains to develop an "Assistive Nursing Record Processing Device" to address pain points such as time-consuming nursing records and the difficulty of recognizing mixed Chinese and English languages. This device utilizes Generative AI (GAI) to automate nursing records.
Core Technologies and Functions:
Efficient Automatic Speech Recognition (ASR): Overcomes recognition barriers presented by mixed Chinese and English medical terms and drug names. Nurses only need to narrate via mobile phone, and the system can accurately convert speech to text, eliminating the need for manual, repetitive corrections.
LLM Automatic Writing: Combines large language models to automatically generate descriptive nursing records that comply with medical standards from the spoken content.
Semantic Voice Command Integration:
Supports real-time voice commands to interface with external data such as medication, lab results, and vital signs, achieving one-click integration. Through automated workflows, it reduces the documentation burden and enhances recording efficiency and accuracy, allowing nurses to dedicate more time to patient care.