Wearable Video Server for Automatic Medication Administration Detection

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Solution Overview

Problem

Existing healthcare monitoring systems require user effort to record medication administration, leading to incomplete data collection when users forget to do so, thus compromising user convenience and accuracy.

Innovation Solution

A method and server system that uses a wearable device to record videos of medication administration processes, employing detection and confirmation models to automatically identify medication-related objects and postures, determining whether medication has been administered without user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a monitoring device requires user effort to record medication administration, then the device complexity is reduced, but the reliability of health care data collection deteriorates when users forget to record

Engineering Contradiction:
Improvemonitoring device operationVSAvoidhealth care data collection
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The monitoring device automatically detects and records medication administration behavior without requiring user operation. The device captures images through its camera, processes them to detect medication-related objects and postures, and automatically determines whether medication was administered, making the system self-sufficient and eliminating dependency on user effort

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual recording operations with an automated image processing system. The mechanical action of a user pressing a record button is substituted by an automated detection system that uses image recognition algorithms to identify medication containers, pills, and administration postures, thereby eliminating the need for user intervention while maintaining data reliability

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

2Reliability

If automatic monitoring is implemented to eliminate user effort, then the reliability of data collection is improved, but the device complexity increases due to automated detection systems

Engineering Contradiction:
Improvehealth care data collectionVSAvoidautomated monitoring system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The automated monitoring system is divided into distinct functional modules: an image acquisition module that captures images, an image processing module that detects objects and postures, and a determination module that concludes whether medication was administered. This segmentation allows each module to perform a specific function, making the overall complex system manageable and maintainable while achieving high reliability

Inventive Principle:
Principle #1Segmentation

3Ease of operation

If manual recording is required, then the ease of operation is improved, but the accuracy of medication administration monitoring deteriorates due to user forgetfulness

Engineering Contradiction:
Improveuser recording operationVSAvoidmedication administration detection
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The system provides visual feedback by displaying detected medication-related objects and postures from captured images. This feedback mechanism allows users to verify that the system has correctly identified their medication administration behavior, ensuring measurement precision while maintaining ease of operation as the system works automatically in the background

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12310745B2Method for determining whether medication has been administered and server using same
Publication Date: 2025.05.27 INHANDPLUS INC
  • US12310745B2 patent drawing
  • US12310745B2 patent drawing
  • US12310745B2 patent drawing

AI summary

Provided is a server for determining whether medication has been administered, the server including: a transceiver receiving a video recorded by a wearable device; a memory storing a detection model and a confirmation model, wherein the detection model is trained to output whether each of preset targets appears in an image, and the confirmation model is trained to output whether medication has been administered, wherein the preset targets include an object related to a medicine or a medicine container and a posture related to medication administration; and one or more processors configured to detect the preset targets by inputting image frames of the video to the detection model and to determine whether medication has been administered by inputting confirmation model input data to the confirmation model, the confirmation model input data generated based on a detection result of the detection model.