Geolocation-Based Clinical Information Retrieval System
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Solution Overview
Problem
In healthcare environments, there is a challenge in efficiently retrieving and configuring clinical information and equipment based on the location of care providers, leading to delays and inefficiencies in patient care due to the need for manual data entry and slow information access.
Innovation Solution
A location-based clinical information retrieval system that uses geolocation capabilities to predict the destination of a care provider's device and communicate with healthcare systems to configure equipment and retrieve relevant information, minimizing data entry and enabling timely access to patient data and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry and information retrieval methods are used, then system complexity is reduced, but productivity and speed of care delivery deteriorate
Solution Approach 1:
The system enables self-service by automatically tracking the mobile device's location and retrieving/configuring healthcare information without requiring manual data entry by care providers. The location subsystem continuously monitors device position and triggers information retrieval based on geographic context, allowing the system to serve itself rather than relying on human initiation of data entry tasks.
Solution Approach 2:
The system performs preliminary actions by pre-configuring healthcare information and equipment settings before the care provider actually needs them. When the device approaches a relevant location, the system proactively retrieves patient data, applications, and equipment configurations in advance, so that everything is ready when the provider arrives at the destination.
2Productivity
If geolocation tracking and automatic information retrieval are implemented, then productivity and timeliness of care are improved, but loss of time for system configuration and data retrieval increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring healthcare information and equipment settings before the care provider actually needs them. When the device approaches a relevant location, the system proactively retrieves patient data, applications, and equipment configurations in advance, so that everything is ready when the provider arrives at the destination.
Solution Approach 2:
The system dynamically adjusts information retrieval and configuration based on the mobile device's real-time location and movement patterns. Rather than static information delivery, the system continuously monitors geographic context and adapts what information to retrieve, when to retrieve it, and how to configure equipment, optimizing the timing to minimize wait times while avoiding premature or unnecessary data retrieval.
3Ease of operation
If location-based automatic configuration is used, then ease of operation is improved, but device complexity and system requirements increase
Solution Approach 1:
The system enables self-service by automatically tracking the mobile device's location and retrieving/configuring healthcare information without requiring manual data entry by care providers. The location subsystem continuously monitors device position and triggers information retrieval based on geographic context, allowing the system to serve itself rather than relying on human initiation of data entry tasks.
Solution Approach 2:
The patent introduces a location subsystem as an intermediary layer between the mobile device and the healthcare information systems. This mediator translates geographic location data into appropriate information retrieval and equipment configuration actions, shielding care providers from system complexity while enabling sophisticated automated behavior through the intermediary's coordination of location tracking, information retrieval, and system configuration.
Data Source
AI summary
Certain examples provide systems, methods, and apparatus for healthcare configuration based on location information. An example method for location-driven configuration of a healthcare system includes receiving location information from a location device; predicting a destination of the location device based on the location information and one or more parameters associated with the location device; and communicating with a healthcare system at the destination to configure the healthcare system based on the one or more parameters associated with the location device.