3D Medical Incident Replay From Sensor-Based Workflow Data
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Solution Overview
Problem
Current tools for investigating medical incidents in a medical environment are inadequate, relying heavily on device logs and qualitative interviews, leading to incomplete information and inaccuracies in identifying the root cause of safety events.
Innovation Solution
A system and method for generating a visual simulation of a medical incident using location and time information from sensors, including avatars of patients and caregivers, and a visual reconstruction of the medical environment to provide a comprehensive overview of the event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If device logs and qualitative interviews are used to investigate safety events, then the investigation process can be conducted with existing tools, but the information gathered is incomplete and inaccurate
Solution Approach 1:
The system segments the medical environment into multiple sensor zones (wearable sensors on patients/caregivers, fixed sensors in environment, mobile sensors). Each sensor type collects specific data segments (location, vitals, environmental conditions), which are then integrated to form a complete picture of the incident, resolving the information completeness issue without requiring a monolithic complex system
Solution Approach 2:
The investigation system is nested within the existing healthcare infrastructure. Sensors are integrated into wearable devices, medical equipment, and the physical environment already present in healthcare facilities. This nesting approach enables comprehensive data collection without adding significant system complexity, as the sensors operate within existing operational frameworks
2Measurement precision
If device logs and qualitative interviews are used to investigate safety events, then the current system can be maintained, but root cause analysis is compromised by assumptions and inaccuracies
Solution Approach 1:
The system continuously collects real-time feedback from multiple sensor types during the incident and integrates this feedback to construct an accurate chronological sequence of events. The feedback loop includes sensor data collection, event detection, and reconstruction of the incident timeline, which provides precise measurement of root causes without relying on subjective recollection or assumptions
Solution Approach 2:
Sensors continuously monitor and record data before, during, and after the incident occurs. This preliminary data collection ensures that accurate information is already captured when the incident happens, eliminating the need for retrospective recollection and ensuring high measurement precision in root cause analysis while maintaining system simplicity
3Ease of operation
If visual simulation with avatars and environmental reconstruction is implemented, then complete and accurate recreation of medical incidents is achieved, but system complexity increases
Solution Approach 1:
The system creates a virtual copy or simulation of the actual medical incident using sensor data. Avatars represent patients and caregivers, and the environment is reconstructed from sensor measurements. This copying approach transforms complex real-world incident data into an intuitive visual format that is easy to investigate, while the underlying complexity is managed through automated data processing
Solution Approach 2:
The system transforms one-dimensional data (raw sensor readings, logs, and interview transcripts) into three-dimensional visual representations (avatars, environmental models, spatial relationships). This dimensional transformation makes the incident investigation much easier to operate by providing intuitive visual context, while the complexity of data processing is automated and hidden from the user
Data Source
AI summary
A visual recreation system of visually generating a recreation of a medical incident associated with a patient. The system includes a memory and a processor. The memory includes instructions that, when carried out by the processor, cause the processor to receive, from one or more sensors, a location information and a time information of the medical incident. The instructions further cause the processor to generate a visual simulation of the medical incident including an avatar of the patient and a visual reconstruction of a medical environment based on the location information and the time information of the medical incident.