Predictive Toileting Alerts for Patient Management Workflows
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Solution Overview
Problem
Conventional patient management systems fail to anticipate toileting needs of patients, leading to risks of falls, accidents, and infections due to inadequate timing of healthcare provider intervention and lack of post-toileting event notifications.
Innovation Solution
A patient management system utilizing machine-learned models to predict toileting needs based on patient conditions and events, generating schedules and notifications to ensure timely healthcare provider intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional patient management systems use standard rounds schedules to check on patients, then healthcare providers can maintain a structured routine, but the system does not take individual patient toileting needs into account, leading to insufficient response time
Solution Approach 1:
The system performs preliminary actions by predicting toileting events before they occur. The machine-learned model analyzes patient data (conditions, preferences, historical patterns) to forecast when a patient will need toileting assistance, allowing healthcare providers to be alerted in advance and prepare accordingly, rather than reacting after the event occurs or relying on fixed schedules.
Solution Approach 2:
The system implements feedback mechanisms where patient data from electronic health records, sensor inputs, and historical toileting patterns are continuously fed into the machine-learned model. The model processes this feedback to refine its predictions and generate personalized toileting schedules, which are then communicated to healthcare providers through notifications, creating a closed-loop system that adapts to individual patient needs.
2Reliability
If healthcare providers rely on patients to call for assistance before toileting events, then the system structure remains simple, but the patient is left at risk of falls or accidents due to insufficient provider preparation time
Solution Approach 1:
The system enables self-service by having the machine-learned model autonomously analyze patient data, predict toileting needs, and generate notifications without requiring manual input or intervention from healthcare providers. The system monitors patient conditions, preferences, and historical patterns automatically, reducing the burden on providers while enhancing patient safety through proactive alerts.
Solution Approach 2:
The patent replaces the mechanical/manual system of patients physically calling for assistance with an automated electronic system. The machine-learned model processes digital data from electronic health records and sensors to predict toileting events, substituting the manual call-for-help mechanism with an intelligent prediction system that operates continuously and proactively notifies providers before events occur.
3Object-affected harmful factors
If conventional systems do not provide notifications for toileting events, then the system remains simple, but cleaning and sanitizing is delayed, increasing infection risk
Solution Approach 1:
The system performs preliminary actions by predicting when toileting events will occur and sending notifications in advance. This allows healthcare providers to be alerted before the actual event, enabling them to prepare for cleaning and sanitizing procedures ahead of time, thereby reducing the risk of infection spread and ensuring timely sanitation without requiring complex real-time monitoring systems.
Data Source
AI summary
This disclosure is directed towards a patient management system for anticipating patient needs associated with toileting. In some examples, a computing device of the patient management system determines a toilet need schedule for a patient based on conditions of the patient (e.g., from an electronic medical record of the patient) and/or events that occur associated with the patient, such as meals or beverages consumed, toileting events, medications taken, and so forth. Additionally, the patient management system may sense when a patient is moving towards a patient relief device, when the patient is using the patient relief device, and/or when the patient has concluded using the patient relief device. Such information may be provided to a healthcare provider so that the healthcare provider may assist with toileting needs to increase safety of the patient and/or to reduce accidents associated with toileting needs of the patient.