Over Sedation Risk Scoring and Alerting System
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Solution Overview
Problem
Current healthcare systems lack a proactive alert system for healthcare professionals to determine appropriate sedation medication doses, leading to potential over sedation and its associated complications.
Innovation Solution
A system that generates alerts for healthcare professionals based on risk scores calculated using identified risk factors from medical literature, such as age, sleep apnea, respiratory issues, and medication history, to prevent over sedation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sedation medication is administered to relieve patient pain, then pain relief is improved, but the risk of over sedation increases
Solution Approach 1:
The system performs preliminary risk assessment by calculating a risk score before sedation medication is administered. The risk assessment tool evaluates multiple patient factors (age, comorbidities, medication history, lab values) in advance to identify patients at high risk for over sedation, allowing healthcare providers to take preventive actions before harmful effects occur.
Solution Approach 2:
The system provides continuous feedback to healthcare providers by updating the risk score as new patient data becomes available during treatment. This real-time feedback mechanism allows providers to monitor changing risk levels and adjust sedation dosing accordingly, preventing over sedation while maintaining effective pain relief.
2Productivity
If additional sedation medication is administered to treat patient pain, then pain management is improved, but respiratory depression and other complications increase
Solution Approach 1:
The system identifies patients at risk for respiratory depression through preliminary risk assessment before additional sedation is administered. By evaluating risk factors in advance, the system enables providers to consider alternative pain management strategies or adjust dosing to prevent respiratory complications.
Solution Approach 2:
The system applies preliminary anti-action by alerting providers to high risk scores before additional sedation medication is given. This warning allows providers to take countermeasures, such as reducing the dose, selecting alternative medications, or implementing enhanced monitoring, thereby preventing respiratory depression before it occurs.
3Loss of time
If sedation medication is administered without risk assessment, then treatment speed is improved, but patient safety deteriorates
Solution Approach 1:
The system performs risk assessment automatically without requiring manual calculation by healthcare providers. The risk assessment tool self-calculates the risk score by integrating patient data from electronic health records, eliminating time-consuming manual computations while maintaining comprehensive safety evaluation.
Solution Approach 2:
The system replaces manual risk assessment processes with automated computational algorithms. This substitution of mechanical/procedural methods with an automated information processing system rapidly evaluates multiple risk factors and provides immediate safety guidance, maintaining patient safety while minimizing treatment delays.
Data Source
AI summary
A system and method for identifying over sedation risk factors and generating appropriate alerts for healthcare professionals as a result of an algorithm triggered based whether a calculated over sedation risk score/level for the patient crosses a predefined threshold, and determine whether the patient score is at a low, moderate, or high risk for over sedation. If the patient is at a moderate or high risk, an alert may be triggered and displayed to the healthcare professional, along with data associated with the alert in a synchronized timeline displayed on a user interface.