Pre-operative Assessment System with Automated Inventory Ordering
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Solution Overview
Problem
The process of performing a pre-operative assessment for a patient is tedious and time-consuming due to disjointed, incomplete, or difficult-to-access resources.
Innovation Solution
A system that communicates with client electronic devices via a network, using computing devices and a computer-readable storage medium to receive patient information, process medical images, identify implant components, determine inventory status, and automatically order necessary components, generating a pre-operative assessment for display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual pre-operative assessment process is used, then complete patient evaluation can be achieved, but the process becomes tedious and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically gathering patient information from multiple sources (EMR, EHR, imaging systems) before the surgeon needs it. Medical images are pre-processed to extract measurements, and implant components are pre-identified based on patient anatomy, so that when the surgeon accesses the assessment, all data is already prepared and organized.
Solution Approach 2:
The system serves itself by automatically querying multiple data sources, processing images, identifying implant requirements, and generating the complete assessment without manual intervention. The inventory system also self-services by automatically checking stock availability and placing orders for required implant components.
2Loss of information
If multiple data sources are integrated, then complete information is available, but system complexity increases
Solution Approach 1:
The assessment system is designed with multi-functionality to handle diverse data sources including EMR, EHR, and imaging systems through a single unified interface. The system can process different types of medical data (patient demographics, medical history, imaging data) and perform multiple functions (data retrieval, image processing, measurement extraction, implant identification) within one integrated platform.
Solution Approach 2:
The system acts as an intermediary between various healthcare systems (EMR, EHR, imaging systems) and the surgeon. It retrieves data from multiple sources, processes and integrates the information, then presents a unified assessment to the surgeon, simplifying the complexity of interacting with multiple separate systems.
3Measurement precision
If implant component identification is automated, then accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary image processing and measurement extraction automatically, preparing the data needed for implant identification before the surgeon needs it. This allows accurate implant selection to be made available in advance without delaying the surgical workflow.
Data Source
AI summary
A system of generating a pre-operative assessment of a patient includes an assessment system configured to communicate with client electronic devices. The system receives patient information pertaining to a patient, uses the patient information to access one or more medical images associated with the patient, performs one or more image processing techniques on the one or more medical images to identify measurements pertaining to an internal bodily structure of the patient, identifies one or more implant components for the patient, determines whether the one or more implant components are currently stocked, in response to determining that the one or more implant components are not currently stocked, automatically generates and placing an order for the one or more implant components that are not stocked, generates a pre-operative assessment for the patient, and causes the assessment to be displayed on a display device of a client electronic device.


