Event Data Collection System for Healthcare Resource Allocation
Solution Overview
Problem
Healthcare facilities face challenges in quickly identifying and communicating their resource needs during events like hurricanes, wildfires, or cyberattacks, leading to inefficient support from external entities due to manual data collection and transmission processes, which can delay resource allocation and strain facility operations.
Innovation Solution
An event data identification and collection system generates a set of questions for various events affecting healthcare facilities, allowing for the creation of a modified dataset that can be quickly transmitted to supporting entities, enabling efficient data sharing without requiring programming changes, thus facilitating timely resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data collection and transmission processes are used, then external entities can receive facility data, but resource allocation is delayed and facility operations are strained
Solution Approach 1:
The system pre-generates event-specific question sets for multiple event types (hurricanes, wildfires, cyberattacks, etc.) before events occur. When an event strikes, the facility simply selects the relevant pre-prepared question set, eliminating the need for manual data collection and accelerating response time
Solution Approach 2:
The system creates template copies of data request structures for different event types. These templates can be rapidly instantiated and customized without requiring programming changes, allowing quick adaptation to various emergency scenarios while maintaining consistent data collection processes
2Reliability
If programming changes are required to modify data transmission, then data accuracy improves, but implementation complexity and time increase
Solution Approach 1:
The system uses dynamic, configurable question sets that can be selected and modified through user interface interactions rather than programming changes. The architecture allows runtime configuration of data collection parameters, enabling accurate data capture for different event types without requiring code modifications
Solution Approach 2:
The system changes operational parameters (which data to collect, how to format it) through configuration rather than code changes. By separating data collection logic from implementation details, the system can adapt to different event scenarios by modifying parameters in pre-generated templates, maintaining data accuracy while avoiding programming complexity
Data Source
AI summary
One embodiment provides a method, the method including: identifying, at a healthcare facility employing an event data identification and collection system, an event affecting the healthcare facility; receiving, at the healthcare facility from an entity, an indication to provide data that assists in supporting the healthcare facility in view of the event; creating, at the healthcare facility, a modified dataset to be transmitted to the entity by modifying an original dataset to include the data; and invoking, at the healthcare facility, a data transmission that accesses the modified dataset and transmits the modified dataset to the entity. Other aspects are described and claimed.