Patient Feedback Capture System with Automated Reminders
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Solution Overview
Problem
Current methods for capturing patient feedback during medical treatment are inadequate, as they rely solely on patient participation and fail to collect detailed data on the medication, particularly for variations in batches of cannabis and other naturally occurring pharmacological plants.
Innovation Solution
A system and method using a computing device configured to capture patient feedback in real-time, including symptom scores and attributes, with prompts to ensure comprehensive data collection, and the ability to store and analyze data related to the medication's physical and chemical properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If electronic journal systems are used to capture patient feedback, then data storage and accessibility are improved, but patient participation and data completeness remain unreliable
Solution Approach 1:
The system implements automated reminders and notifications to prompt patients to submit feedback at scheduled intervals. The system tracks whether feedback has been received and follows up with patients who have not provided data, thereby improving completion rates and reliability of data collection.
Solution Approach 2:
The system enables patients to easily submit feedback through user-friendly interfaces on their personal devices. Patients can log in and provide updates at their convenience without requiring manual intervention from healthcare providers, making the process self-service oriented and improving consistent participation.
2Ease of operation
If basic symptom tracking is implemented, then ease of use is improved, but measurement precision of medication effects is insufficient
Solution Approach 1:
The feedback system divides medication effect tracking into multiple dimensions including symptom severity, side effects, functional impact, and quality of life measures. Each dimension is further segmented into specific measurable parameters, allowing comprehensive precision while maintaining organized, manageable data collection that remains easy to use.
Solution Approach 2:
The system employs standardized measurement scales and parameters for tracking symptoms and effects (e.g., Likert scales for severity, specific functional assessments). These standardized parameters enable precise measurement while presenting simplified options to patients through digital interfaces, maintaining ease of use.
3Loss of information
If detailed medication properties are tracked, then analysis capability is improved, but device complexity increases
Solution Approach 1:
The system pre-configures medication profiles with all relevant properties (batch number, manufacturer, composition, dosage instructions) before the patient begins treatment. This preliminary setup eliminates the need for complex real-time data entry during treatment sessions, reducing operational complexity while ensuring complete data capture.
Solution Approach 2:
The system introduces an intermediary layer that automatically captures medication information from standardized sources (e.g., pharmacy databases, product packaging scanners) and pre-processes it into structured formats. This intermediary handling of data preparation reduces the complexity burden on both the system and the patient during actual feedback collection.
Data Source
AI summary
A method for capturing patient feedback for a medical treatment includes: receiving user instructions indicating a symptom being treated, a symptom score for the symptom being treated, and an indication of a beginning of a treatment session; receiving patient feedback comprising an updated symptom score for the symptom being treated and/or absence or presence of one or more of a plurality of attributes; storing the received patient feedback and a time in the treatment session at which the respective patient feedback was received; repeating the receiving of patient feedback and storage of data during the treatment session; and receiving a user instruction indicating an ending of the treatment session, wherein an alerting module alerts a user of the computing device for input of patient feedback after a predetermined period of time has elapsed following receipt of patient feedback without a subsequent receipt of patient feedback.