Generative AI for Automated Electronic Nursing Record Input
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Solution Overview
Problem
Current electronic nursing record systems are inefficient for medical students, requiring significant time to input notes and often relying on handwritten records due to the complexity of adapting to computerized systems.
Innovation Solution
A method and apparatus using generative artificial intelligence to automatically input electronic nursing records, which includes selecting a user interface, inputting text based on predefined nursing note items, cleaning and tokenizing the text, fine-tuning it for accuracy and context, and finally inputting the refined text into the electronic nursing record system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of nursing records is used, then accuracy can be maintained, but time consumption increases significantly
Solution Approach 1:
The system enables self-service by having the AI model automatically generate nursing records based on patient data and nursing protocols, eliminating the need for manual data entry while maintaining accuracy through automated validation and context-aware generation
Solution Approach 2:
The patent replaces the mechanical manual typing process with an automated AI-based text generation system that uses natural language processing and machine learning models to produce nursing records instantly from structured patient information
2Productivity
If electronic nursing record systems are introduced, then productivity improves, but ease of operation decreases for medical students
Solution Approach 1:
The AI model serves as an intermediary between the complex electronic nursing record system and the user, automatically translating raw patient data into properly formatted nursing records, thereby simplifying the interface and reducing the learning curve for medical students
Solution Approach 2:
The system performs preliminary action by pre-processing patient data, organizing it according to nursing protocols, and pre-formulating appropriate nursing diagnoses and interventions before the user needs to enter the record, thus simplifying the user's task
3Adaptability or versatility
If handwritten medical records are used, then adaptability to different settings is maintained, but time consumption increases
Solution Approach 1:
The system changes the parameter of record format from handwritten text to structured electronic data, enabling automatic processing while maintaining adaptability through configurable templates that can be adjusted to different hospital protocols and settings
Data Source
AI summary
The present disclosure relates to a method for automatically inputting electronic nursing records, comprising: (a) a step of selecting a user interface unit through an electronic nursing record system; (b) a step of inputting text into an input field of the user interface based on the predefined items of nursing notes; (c) a step of cleaning and tokenizing the input text; (d) a step of fine-tuning the text tokenized above; and (e) a step of inputting the text fine-tuned above into the electronic nursing record system, wherein in the fine-tuning step, at least one nursing record data corresponding to the input text can be selected from a nursing record database designated in advance to be used for auto completion or auto correction.