Patient Device Care Discrepancy Detection

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Solution Overview

Problem

Manual recording of clinical parameters from medical devices in hospitals is inefficient and prone to errors, making it challenging to determine optimal treatment for patients, especially in intensive care units where timely and accurate adjustments are crucial.

Innovation Solution

A service computing device analyzes physiologic waveform data and caregiver records using data reduction techniques and unsupervised clustering to identify discrepancies in patient care, sending notifications or control signals to improve treatment efficacy and reduce errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual recording of clinical parameters is used, then caregivers can monitor patient conditions, but the process is inefficient and prone to errors

Engineering Contradiction:

Improveaccuracy of clinical parameter recordingVSAvoidefficiency of clinical parameter recording

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system enables self-service by automatically capturing clinical parameters from patient devices and generating care records without requiring manual data entry by caregivers. The processor autonomously retrieves sensor data, determines clinical parameters, and creates care records, eliminating the manual recording process while maintaining data accuracy and improving efficiency.

Inventive Principle:

Principle #25Self-service

2Loss of information

If multiple patient devices are monitored manually, then comprehensive patient data can be collected, but the workload and potential for errors increase

Engineering Contradiction:

Improvecompleteness of patient data collectionVSAvoidtime required for data collection and monitoring

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system merges data collection from multiple patient devices into a unified automated process. The processor retrieves sensor data from multiple devices simultaneously, consolidates the information, and generates comprehensive care records automatically. This combining approach maintains complete patient data collection while dramatically reducing the time and manual effort required.

Inventive Principle:

Principle #5Merging (Combining)

3Stability of the object's composition

If predetermined treatment schedules are used, then treatment can be standardized, but timely adjustments based on actual patient conditions are delayed

Engineering Contradiction:

Improveconsistency of treatment protocolVSAvoidresponsiveness to patient condition changes

Core Design Contradiction:

Stability of the object's compositionVSSpeed

Solution Approach 1:

The system implements feedback by continuously monitoring sensor data from patient devices and automatically comparing actual patient conditions against treatment goals. The processor analyzes this real-time data and generates care records that reflect current patient status, enabling timely treatment adjustments while maintaining standardized protocols through systematic data-driven decision-making.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10340039B2Managing patient devices based on sensor data

Publication Date: 2019.07.02 HITACHI LTD

AI summary

In some examples, a computing device may receive sensor data associated with a plurality of patient devices that are associated with a plurality of patients. The computing device may further receive caregiver records corresponding at least partially to the sensor data. At least two groups of indicators may be determined from the caregiver records, such a based on a selected subject. Further, the computing device may determine a plurality of clusters from the sensor data. Based on the plurality of clusters and the at least two groups, the computing device may determine an indication of a discrepancy in care for a patient of the plurality of patients. Based on the indication of the discrepancy, the computing device may send at least one of a notification to a caregiver computing device, a notification to a monitoring computing device, or a control signal to one of the patient devices.