Medical Cart Battery Runtime Feedback With Modular Power Bay

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Hospitals face challenges with overcrowding and high patient volume, leading to insufficient desk computers, and existing mobile battery-powered medical carts often have inaccurate battery life calculations and lack features like anti-bacterial surfaces, voice-activated hubs, and integrated RFID/GPS systems.

Innovation Solution

A mobile battery-powered medical cart with a wheeled base, an upper workstation area featuring an anti-bacterial and chemical-resistant glass overlay display, adjustable height column, and a technology bay for integrated RFID, Wi-Fi, and GPS systems, along with a custom algorithm for accurate battery runtime calculation and modular battery compartments for extended runtime.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a mobile battery powered medical cart is used to provide computing power during high patient volume situations, then productivity is improved, but battery life calculation accuracy deteriorates

Engineering Contradiction:
Improvepatient processing efficiencyVSAvoidbattery life calculation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system continuously monitors actual power consumption of electronic devices and accessories connected to the cart, comparing it against predicted consumption. This feedback loop enables the custom runtime algorithm to adjust and improve battery life calculation accuracy over time, resolving the contradiction between providing continuous power for high productivity and maintaining accurate battery life measurement.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The cart automatically determines its own power consumption characteristics by monitoring devices connected to its battery system. The system self-calibrates by measuring actual energy usage patterns and uses this data to refine its battery runtime predictions, eliminating the need for external calibration and ensuring accurate battery life calculation while maintaining continuous operation for high patient throughput.

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If multiple electronic systems are integrated into the medical cart, then adaptability is improved, but device complexity deteriorates

Engineering Contradiction:
Improveintegration capabilityVSAvoidsystem integration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The medical cart is designed with universal integration capabilities that allow multiple electronic systems (RFID, Wi-Fi, BLE, GPS, voice-activated smart hub) to function through a unified platform. The cart's battery system and control architecture are designed to accommodate various devices and accessories without requiring separate complex subsystems for each function, reducing overall system complexity while maintaining high adaptability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The cart's electronic systems are segmented into modular functional units (communication modules, positioning modules, power management modules) that can be independently configured and activated. This segmentation allows the system to integrate only the necessary functionalities for each specific use case, reducing complexity while maintaining the ability to adapt to different hospital environments and requirements.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If a custom runtime algorithm is used for battery calculation, then measurement precision is improved, but device complexity deteriorates

Engineering Contradiction:
Improvebattery runtime calculation accuracyVSAvoidalgorithm complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The custom runtime algorithm leverages the system's own operational data and power consumption characteristics to calculate battery runtime. By using self-generated data from actual device usage patterns and battery discharge rates, the algorithm achieves high precision without requiring complex external calibration systems or sophisticated computational models, thus maintaining relatively simple implementation.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12138084B2Mobile battery powered medical cart
Publication Date: 2024.11.12 GREEN CUBES TECHNOLOGY LLC
  • US12138084B2 patent drawing
  • US12138084B2 patent drawing
  • US12138084B2 patent drawing

AI summary

Disclosed herein are mobile battery powered medical carts, methods of operating these carts to increase efficiency of healthcare operations, and methods of accurately calculating remaining battery runtime for these carts. A mobile battery powered medical cart may comprise a wheeled base portion having a sliding battery power bay, an upper workstation area having a monitor, a computer, and a printer, and at least one adjustable height column coupling the wheeled base portion to the upper workstation area. The carts may include a glass overlay display positioned on a top surface of the upper workstation area and having anti-bacterial and chemical resistant properties. The glass overlay display may be configured to provide medical employees with haptic feedback on remaining battery runtime, calculated via a custom algorithm for increased accuracy.