Predictive Robotic Assignment for Changing Patient Care Needs
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Solution Overview
Problem
The inefficiencies in manually scheduling robotic devices for patient care in healthcare settings lead to inadequate allocation of resources, as each patient's changing needs require specific robotic capabilities that existing static allocation methods fail to address effectively.
Innovation Solution
A system utilizing predictive analytics and machine learning to monitor user activities, predict needs, and dynamically assign robotic devices based on capabilities, ensuring personalized care by continuously matching users with the appropriate robotic devices through a bipartite graph matching algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual scheduling methods are used to allocate robotic devices, then the system is simple to operate, but the allocation efficiency and responsiveness to changing patient needs deteriorate
Solution Approach 1:
The patent implements dynamic allocation of robotic devices by continuously monitoring patient activities and automatically reassigning devices based on real-time needs. The system transitions from static manual scheduling to dynamic automated assignment, where robotic devices are reallocated as patients complete activities or require new assistance, thereby improving allocation efficiency without requiring complex manual intervention
Solution Approach 2:
The system enables self-service through automated monitoring and assignment mechanisms. Patient activities are automatically tracked via sensors and cameras, and robotic devices are autonomously assigned to patients based on detected needs, eliminating the requirement for manual scheduling while maintaining system simplicity through automated decision-making algorithms
2Adaptability or versatility
If static allocation methods are used, then the device deployment is straightforward, but the ability to address changing patient needs deteriorates
Solution Approach 1:
The system implements continuous feedback loops by monitoring patient activities through sensors and cameras, detecting when patients complete activities or require new assistance, and automatically adjusting robotic device assignments based on this feedback. This enables the system to adapt to changing patient needs in real-time while maintaining straightforward deployment through automated decision-making
Solution Approach 2:
The system performs preliminary actions by pre-positioning robotic devices and pre-planning assignments based on predicted patient needs. By anticipating future requirements and preparing device allocations in advance, the system enhances responsiveness to patient needs while maintaining operational simplicity through automated forecasting and preparation
3Measurement precision
If manual scheduling is used, then the system requires less computational resources, but the precision of matching patient needs with robotic capabilities deteriorates
Solution Approach 1:
The system optimizes computational resource usage by dynamically adjusting monitoring parameters and assignment algorithm complexity based on current system load and patient needs. Computational intensity is modulated to match actual requirements, enabling precise matching of patient needs with robotic capabilities while managing energy consumption through adaptive parameter adjustment
Data Source
AI summary
Provided is a method, computer program product, and system for automatically assigning robotic devices to users based on need using predictive analytics. A processor may monitor activities performed by one or more users. The processor may determine, based on the monitoring, a set of activities that require assistance from a robotic device when being performed by the one or more users. The processor may match the set of activities to a set of capabilities related to a plurality of robotic devices. The processor may identify, based on the matching, a first robotic device that is capable of assisting the one or more users in performing a first activity of the set of activities. The processor may deploy the first robotic device to assist the one or more users in performing the first activity.