Surgical Preference Card Aggregation With Predictive Inventory Updates
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Solution Overview
Problem
Healthcare facilities face challenges in efficiently managing and updating preference cards, which are critical for procedures, due to their manual, facility-specific nature, lack of digital integration, and inability to propagate changes across systems, leading to inefficiencies and high migration costs.
Innovation Solution
A data aggregation system with predictive modeling and AI/ML engines that ingest, analyze, and synchronize preference card data across facilities, enabling real-time updates and suggestions based on inventory, historical data, and global information, facilitating seamless propagation and efficient billing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual conversion of handwritten preference cards to digital format is performed, then digital data storage is achieved, but time and manpower requirements increase significantly
Solution Approach 1:
The system creates digital copies of handwritten preference cards through image capture and optical character recognition (OCR), enabling automated conversion from analog to digital format without manual transcription, thus reducing migration time and effort
Solution Approach 2:
Manual mechanical processes of copying and transcribing preference cards are replaced with automated digital systems including image scanning, OCR technology, and electronic data processing, eliminating the need for manual conversion work
2Adaptability or versatility
If facility-specific preference cards are maintained, then local customization is enabled, but system integration and data sharing are limited
Solution Approach 1:
The system creates a universal digital preference card platform that can be customized for each facility while maintaining the ability to share and integrate data across multiple facilities, combining local customization needs with broader system integration capabilities
Solution Approach 2:
A centralized data aggregation system acts as an intermediary between facility-specific preference cards, enabling data sharing and integration while preserving local customization through configurable parameters and facility-specific settings
3Ease of operation
If independent preference cards are stored at each facility, then local accessibility is improved, but updates cannot be propagated across facilities
Solution Approach 1:
The system transitions from static, independent preference cards to dynamic, interconnected digital records that can be updated in real-time across facilities, enabling changes to be propagated automatically while maintaining local accessibility through the networked system
Data Source
AI summary
Systems, methods, and devices for data ingestion and aggregation, file analysis, and predictive modeling. A method includes generating an aggregated data form comprising surgical preference data, wherein the aggregated data form identifies a plurality of medical items, and wherein the aggregated data form is associated with a surgeon, a facility, and a surgery type. The method includes electronically communicating with an inventory management solution associated with the facility to retrieve inventory data for the plurality of medical items. The method includes receiving from a machine learning algorithm an amendment suggestion for the aggregated data form, wherein the amendment suggestion comprises one or more of: an amendment to a quantity of a first medical item, an identity of a first product satisfying the first medical item, or an addition of a second medical item not included in the aggregated data form.