Operating Room Video Tracking for Real-Time Surgery Phase Detection
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Solution Overview
Problem
Hospitals face challenges in efficiently scheduling surgical procedures due to limited information about operating room availability and the status of ongoing procedures, leading to increased time between surgeries and delays in personnel arrival.
Innovation Solution
Implementing multiple image capture devices and sensors in the operating room to capture video and data, which are analyzed by a surgical tracking server to determine phases and states of the room, including the presence and status of objects and personnel, and generate metrics and notifications for improved scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple image capture devices and sensors are deployed to track operating room phase, then information availability about operating room status is improved, but device complexity increases
Solution Approach 1:
The operating room monitoring system is segmented into multiple independent image capture devices positioned at different locations, each capturing specific views (surgical table, instrument table, door). This segmentation allows comprehensive coverage while keeping individual devices simple and manageable.
Solution Approach 2:
The surgical tracking server performs multiple functions: it receives data from various sensors, identifies objects in video frames, determines operating room phase, tracks surgical procedure status, and generates notifications. This multi-functionality consolidates complexity into a single system rather than requiring separate systems for each function.
2Ease of operation
If manual updating of surgical procedure progress is required, then personnel distraction is reduced, but time delay for personnel arrival increases
Solution Approach 1:
The system continuously captures video from image capture devices, processes frames to identify objects and determine surgical phase, and generates real-time notifications about procedure status. This feedback loop automatically keeps personnel informed without requiring manual status updates, eliminating both distraction and delay.
Solution Approach 2:
The surgical tracking system automatically monitors and tracks the surgical procedure status without human intervention. The image capture devices and processing system self-service the information gathering and notification functions, freeing personnel to focus on the surgery while ensuring timely awareness of procedure progress.
3Ease of operation
If conventional operating room monitoring is used, then scheduling simplicity is maintained, but operating room utilization efficiency decreases
Solution Approach 1:
The system replaces manual scheduling and status tracking methods with an automated electronic system. Image capture devices and the surgical tracking server automatically collect and process data, substituting mechanical/manual processes with optical and computational systems that provide real-time insights for improved scheduling decisions.
Solution Approach 2:
The system determines operating room phase and predicts when the room will be available for upcoming procedures. This preliminary information about future availability allows scheduling personnel to plan ahead and optimize the schedule, improving utilization efficiency without complicating the scheduling process itself.
Data Source
AI summary
Multiple image capture devices are located in an operating room to capture video of the entirety of the operating room. A surgical tracking server applies one or more models to the captured video to determine states of objects in the operating room. From the determined states, the surgical tracking system determines a phase of the operating room. The determined phase may indicate an availability of the operating room to perform surgery or a status of a surgery being performed in the operating room. An interface identifying the operating and the determined phase of the operating room is generated and displayed to one or more users. The interface may identify a length of time the operating room is in a phase, allowing a user to monitor availability and use of the operating room. Additionally, notifications about a phase of the operating room may be transmitted to users.