Medical Information System for Quantitative Clinical Skill Evaluation
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Solution Overview
Problem
Existing medical information systems struggle to quantify and compare clinical skills across different surgical procedures and operators effectively, due to individual differences in patients and operators, making it difficult to provide relevant information for new procedures.
Innovation Solution
A medical-information providing system that includes an electronic medical record system for accumulating patient information, a surgical robot system for logging medical device operations, and an information processing component that calculates procedure difficulties and clinical skills, identifying similar procedures and providing related information for improved skill evaluation and new procedure preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical information systems collect and compare surgical data to quantify clinical skills, then skill evaluation capability is improved, but individual differences in patients and operators make effective comparison difficult
Solution Approach 1:
The patent transforms qualitative surgical performance into quantitative parameters by calculating operation time, movement distance, number of operations, and other measurable metrics from operation logs. This parameter transformation enables objective comparison of clinical skills across different operators and procedures, resolving the contradiction by making individual differences measurable and comparable through standardized parameters.
Solution Approach 2:
The patent segments surgical procedures into discrete operational steps and extracts specific parameters from each step. By dividing complex surgical processes into manageable parameter components (operation time, movement distance, operation count), the system can evaluate and compare clinical skills objectively despite individual differences in surgical style and patient characteristics.
2Quantity of substance
If the system accumulates and processes large amounts of medical record information and operation logs, then information completeness is improved, but system complexity increases
Solution Approach 1:
The patent extracts only the necessary parameters (operation time, movement distance, operation count) from the comprehensive operation logs and medical records, rather than processing all available data. This selective extraction reduces computational complexity while maintaining the essential information needed for clinical skill evaluation and procedure comparison.
Solution Approach 2:
The patent introduces an information processing portion that acts as an intermediary between the electronic medical record system and the surgical robot system. This intermediary component calculates and synthesizes parameters from multiple data sources, managing the complexity of integrating large amounts of medical record information and operation logs while providing simplified evaluation results.
3Productivity
If the system identifies and provides related information for new procedures based on calculated parameters, then usefulness for new procedures is improved, but information processing time increases
Solution Approach 1:
The patent performs preliminary calculations of operation parameters and stores evaluation results in advance. By pre-calculating parameters from operation logs and maintaining a database of procedure evaluations, the system can quickly retrieve and provide relevant information for new procedures without performing time-consuming analysis at the moment of need.
Solution Approach 2:
The patent establishes a feedback mechanism where calculated parameters from past procedures are stored and used to evaluate and provide information for future procedures. This feedback loop enables the system to learn from accumulated data and progressively improve its ability to provide relevant information for new procedures while reducing processing time through pattern recognition.
Data Source
AI summary
A medical-information providing system includes an electronic medical record system configured to accumulate medical-record information about patients; a medical device system configured to accumulate operation logs of medical devices; and a computer configured to provide medical-activity-related information from the medical-record information and the operation logs. The computer includes at least one processor configured to: acquire the medical-record information from the electronic medical record system; calculate a first parameter of a first medical activity corresponding to the acquired medical-record information on the basis of the acquired medical-record information; acquire the operation logs from the medical device system; calculate a second parameter of the medical devices used in the first medical activity on the basis of the acquired operation logs; identify a second medical activity involving parameters similar to the calculated first and second parameters; and generate the medical-activity-related information on the basis of the identified second medical activity.