Automated Healthcare Protocol Application Generation
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Solution Overview
Problem
Existing healthcare protocols require significant time and resources to review and update, as they evolve with new research, technology, and clinical experiences, leading to inefficiencies in their implementation across healthcare settings.
Innovation Solution
A system is developed to automatically generate software applications for medical stations by using healthcare protocols. This involves collecting materials from various sources, processing them into code, and mapping healthcare protocol segments to medical station functionalities, with the aid of a language model and decision tree logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If healthcare protocols are manually reviewed and updated by health professionals, then the protocols can be updated with new research and knowledge, but the process requires significant time and resources
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated system using natural language processing and machine learning algorithms. The system automatically parses medical literature, extracts relevant information, and updates protocols without human intervention, thereby maintaining accuracy while dramatically reducing the time and resources required for updates.
Solution Approach 2:
The patent introduces an intermediary automated processing system that acts as a bridge between new medical research and protocol updates. This intermediary system automatically processes incoming research data, validates it against existing protocols, and generates update recommendations, eliminating the need for direct manual review while ensuring protocol reliability.
2Reliability
If healthcare protocols are frequently updated to reflect new research, then the care quality improves, but the complexity of managing and implementing updates increases
Solution Approach 1:
The patent creates a universal automated system that handles multiple functions including literature monitoring, data extraction, protocol analysis, update generation, and validation. This multi-functional system manages the complexity internally while presenting a simplified interface for protocol updates, allowing frequent updates without increasing management burden.
Solution Approach 2:
The patent implements a self-service automated system that independently monitors new research, processes information, and updates protocols without requiring manual intervention. The system self-manages the complexity of frequent updates by automatically handling all aspects of protocol maintenance, from detection of needed changes to implementation of updates.
3Ease of operation
If manual processes are used to implement healthcare protocols in medical stations, then flexibility is maintained, but productivity and consistency across different settings are reduced
Solution Approach 1:
The patent replaces manual implementation processes with automated electronic systems in medical stations. The system automatically retrieves updated protocols, interprets them, and guides clinical workflows electronically, maintaining operational flexibility through programmable logic while dramatically improving productivity and ensuring consistent implementation across all settings.
Data Source
AI summary
Embodiments relate to implementing a healthcare protocol on a medical station by generating an application that incorporates the healthcare protocol. The healthcare protocol may be generated by collecting materials from sources and processing them into code for execution on the medical station by mapping portions of the healthcare protocol to functionalities of the medical station. For this purpose, the healthcare protocol may be represented as a decision tree tree or a Boolean logic. The generated code and related content may be packaged into the application. The application is sent to the medical station and deployed to implement the healthcare protocol on the medical station.