Virtual Patient EMR Cloning for Safe Clinical Training
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Solution Overview
Problem
There is a need for a method and system to allow medical students to practice clinical skills in a simulated environment without risking actual patients, as they lack the experience and qualifications to perform real-world tasks safely.
Innovation Solution
A system and method using virtual patients with electronic medical records (EMRs) that allows multiple participants to interact and treat cloned virtual patients, with their actions tracked and evaluated independently, enabling objective assessment and progressive simulation scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If students practice clinical tasks on actual patients, then they gain real-world experience and skills, but patient safety is compromised and harmful errors may occur
Solution Approach 1:
The patent creates virtual patient copies with identical electronic medical records and clinical characteristics to real patients. These virtual clones allow students to practice diagnostic and treatment decisions without risking actual patient safety, while maintaining realistic clinical scenarios for authentic learning experience
Solution Approach 2:
The system introduces an artificial intelligence intermediary that mediates between student decisions and patient outcomes. The AI processes student diagnostic choices and treatment plans, simulates patient responses, and provides feedback, thereby enabling safe practice while maintaining educational value
2Productivity
If multiple students share the same virtual patient case, then resource efficiency is improved, but independent evaluation of each student's performance becomes difficult
Solution Approach 1:
The system segments the shared virtual patient case into multiple independent virtual clones, one for each student. Each clone maintains its own electronic medical record state that evolves independently based on that student's decisions, allowing simultaneous evaluation of multiple students while preserving individual performance data integrity
Solution Approach 2:
The system dynamically changes the state parameters of each virtual patient clone based on individual student decisions. Each clone's electronic medical record updates independently with different diagnostic outcomes, treatment responses, and clinical progression, enabling precise measurement of each student's clinical reasoning and decision-making skills
3Manufacturing precision
If students work through complex clinical scenarios, then learning depth is improved, but time consumption increases
Solution Approach 1:
The system pre-configures multiple virtual patient clones with different clinical scenarios, complications, and outcome pathways before student interaction. This preliminary preparation allows students to immediately engage in complex clinical decision-making without setup delays, while the pre-simulated patient responses provide instant feedback for accelerated learning
Data Source
AI summary
An evaluation system and method are provided for simulating clinical care of a virtual patient. A database of electronic medical records (EMRs) is established, with at least one EMR including a plurality of EMR items collectively profiling the virtual patient. A simulation management unit coupled to the database includes a plurality of selectively executable control modules. At least one control module defines a simulation scenario; and, at least one other control module generates a duplicate EMR of the virtual patient for each of a plurality of simulation participants. At least one evaluator station establishes interactive interface for an evaluator. A plurality of participant stations establish interactive access for the simulation participants to a corresponding one of the duplicate EMRs during a simulated clinical encounter with the virtual patient. The simulation management unit independently updates the duplicate EMRs for the simulation participants responsive to clinical actions respectively taken by those participants.