AI Adverse Event Prediction Using Continuous Multi-Instrument Data

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Solution Overview

Problem

Current medical monitoring technologies are inadequate for early detection of adverse events due to reliance on manual data entry, batch processing, and lack of continuous data aggregation from various medical instruments, leading to missed precursors and ineffective AI models.

Innovation Solution

A vertically integrated AI-driven system that continuously aggregates and analyzes data from multiple medical instruments using dongles and a cloud-based platform to generate real-time predictions of adverse events by combining vital and non-vital signs data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual data entry and batch processing are used in EMRs, then system complexity is reduced and ease of operation is improved, but data aggregation continuity deteriorates and measurement precision worsens

Engineering Contradiction:

Improveease of operationVSAvoiddata aggregation continuity

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent replaces manual data entry mechanisms with automated electronic data extraction systems. The system automatically pulls data from medical instruments via standardized protocols (HL7, FHIR) and feeds it into the EMR, eliminating the mechanical process of manual transcription while improving data continuity and precision.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary data aggregation layer between medical instruments and the EMR. This intermediary system continuously collects data from instruments and translates it into EMR-compatible formats, ensuring continuous data flow without requiring direct integration with every instrument or manual intervention.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Stability of the object's composition

If batch processing is used in EMRs, then data processing load is reduced and system stability is improved, but detection speed of adverse event precursors deteriorates

Engineering Contradiction:

Improvesystem stabilityVSAvoiddetection speed

Core Design Contradiction:

Stability of the object's compositionVSSpeed

Solution Approach 1:

The system performs preliminary data aggregation and pre-processing in the background before adverse events occur. By continuously collecting and analyzing data in advance, the system is ready to immediately detect and respond to precursors without disrupting the stable batch processing architecture.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements periodic data aggregation cycles that continuously monitor patient data at regular intervals. This periodic action maintains system stability while enabling timely detection of adverse event precursors through consistent, rhythmical data collection rather than one-time batch processing.

Inventive Principle:

Principle #19Periodic action

3Adaptability or versatility

If manually entered data is used in EMRs, then data entry flexibility is improved and ease of operation is enhanced, but measurement precision deteriorates due to transcription errors

Engineering Contradiction:

Improvedata entry flexibilityVSAvoidmeasurement precision

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent replaces manual data entry with automated electronic extraction systems that directly pull data from medical instruments. This substitution eliminates transcription errors while maintaining flexibility through configurable data selection and customization options in the system interface.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Measurement precision

If continuous data aggregation from multiple medical instruments is implemented, then detection accuracy of adverse event precursors is improved, but device complexity increases

Engineering Contradiction:

Improvedetection accuracyVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a universal data aggregation platform that can interface with multiple types of medical instruments through standardized protocols. This multi-functional system handles various data sources (vital signs monitors, infusion pumps, beds) through a single unified architecture, reducing overall system complexity while maintaining comprehensive data collection capabilities.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260081017A1Systems and methods of creating, training, and deploying an ai-based adverse event prediction model and platform

Publication Date: 2026.03.19 DARROCH MEDICAL SOLUTIONS INC

AI summary

Methods and systems of creating artificial intelligence processes for predicting adverse events in a patient are provided in which processed vital signs medical data are extracted from a server in communication with one or more vital signs monitors, and raw non-vital signs medical data are extracted from one or more medical instruments, including extracting auxiliary medical data which are not displayed by the medical instruments. The processed vital signs medical data and raw non-vital signs medical data are sent to a cloud-based artificial intelligence platform, which inputs the combined medical data into an AI-driven adverse event prediction model. The adverse event prediction model is continually and automatically fed the combined medical data. The adverse event prediction model identifies adverse event precursors and provides an assessment of a level of risk that a patient will experience an adverse event and a timeframe within which the adverse event is likely to occur.