Relocation Module for Automated Surgical Equipment Data Capture

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Solution Overview

Problem

Current medical practices result in incomplete, inaccurate, and manually entered electronic health records, leading to errors, omissions, and inefficiencies in data entry, which hinder the effectiveness of artificial intelligence and machine learning analysis, and increase clinician burnout.

Innovation Solution

An automated data consolidation module that houses various medical equipment near the patient, incorporating sensors and machine vision to automatically record 'dose' and 'response' events, ensuring precise temporal correlation and reducing manual data entry.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data entry is used for electronic health records, then device complexity is reduced, but data accuracy and completeness deteriorate

Engineering Contradiction:
Improvedata accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The medical equipment automatically records and transmits its own operational data (dose events, response events, timestamps) to the electronic health record system without requiring manual data entry by clinicians. The system serves itself by generating and submitting data automatically through sensors, processors, and communication interfaces.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual data entry process (clinicians typing data into EHR systems) with an automated electronic data capture and transmission system. Sensors, processors, and communication interfaces substitute for manual keyboard and mouse input, eliminating the mechanical interaction between human operators and the EHR system.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual data entry is used for electronic health records, then equipment cost is reduced, but productivity deteriorates

Engineering Contradiction:
Improvedata entry efficiencyVSAvoidautomated system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The medical equipment automatically records and transmits its own operational data (dose events, response events, timestamps) to the electronic health record system without requiring manual data entry by clinicians. The system serves itself by generating and submitting data automatically through sensors, processors, and communication interfaces.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The automated data capture system operates continuously during medical procedures, recording dose events, response events, and timestamps without interruption. This continuous automatic data collection eliminates the discontinuous manual data entry process, ensuring no data is missed and improving overall data entry efficiency and productivity.

Inventive Principle:
Principle #20Continuity of useful action

3Reliability

If equipment is scattered throughout the operating room, then ease of operation is improved, but data capture completeness deteriorates

Engineering Contradiction:
Improvedata capture completenessVSAvoidequipment accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent implements a universal automated data capture system that can interface with multiple types of medical equipment (infusion pumps, ventilators, monitors, surgical instruments) scattered throughout the operating room. The system uses standardized communication protocols and sensors to capture data from diverse equipment types, ensuring complete data collection regardless of equipment location or type.

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

Data Source

PatentUS12403056B2Relocation module and methods for surgical equipment
Publication Date: 2025.09.02 AUGUSTINE BIOMEDICAL DESIGN LLC
  • US12403056B2 patent drawing
  • US12403056B2 patent drawing
  • US12403056B2 patent drawing

AI summary

Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.