Personalized Medication Comparison Platform for Faster Drug Selection
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Solution Overview
Problem
Patients face challenges in selecting medications due to limited transparency, time constraints with doctors, and the lack of personalized effectiveness predictions, leading to inefficient and potentially costly choices.
Innovation Solution
A healthcare platform that integrates medical and non-medical information to provide a user personalized grade for medications, allowing side-by-side comparison of effectiveness, cost, and safety through a unified interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If patients manually sort through multiple medication options using traditional methods, then they can access medication information, but the process becomes time-consuming and ineffective
Solution Approach 1:
The patent combines multiple medication comparison functions into a single unified platform that displays effectiveness, cost, side effects, and user reviews simultaneously. This integration allows patients to access comprehensive medication information in one location rather than manually searching through multiple sources, resolving the contradiction between information accessibility and time consumption.
Solution Approach 2:
The patent replaces the manual mechanical process of sorting through medication options with an automated computer-based system that uses algorithms to calculate personalized effectiveness grades and sort medications based on patient preferences. This substitution eliminates the time-consuming manual effort while maintaining comprehensive information access.
2Ease of operation
If patients lack personalized effectiveness predictions, then medication information remains general and simple, but medication selection becomes less effective and potentially more costly
Solution Approach 1:
The patent applies local quality by providing personalized effectiveness predictions tailored to each patient's specific characteristics, medical history, and preferences. Rather than using generic medication information for all patients, the system calculates individualized effectiveness grades that reflect each patient's unique situation, thereby improving selection reliability without overwhelming complexity.
Solution Approach 2:
The patent changes the parameter of medication effectiveness from a fixed general value to a dynamic personalized value that varies based on patient-specific parameters such as medical history, current medications, and personal preferences. This parameter transformation enables more reliable medication selection while maintaining ease of use through automated calculations.
3Reliability
If doctors spend more time understanding patient situations for shared decision making, then patient involvement and outcomes improve, but the already limited doctor-patient time becomes even more constrained
Solution Approach 1:
The patent performs preliminary actions by automatically gathering patient information, calculating personalized effectiveness grades for multiple medications, and organizing comparison data before the doctor-patient consultation. This preparatory work reduces the time needed during the actual consultation, allowing doctors to focus on shared decision-making without being overwhelmed by information gathering, thereby maintaining care quality within time constraints.
Data Source
AI summary
Systems and methods for a comprehensive online healthcare platform are provided that increase the efficiency of the medication selection process. In one embodiment, a method comprises responsive to a query from the user via the user device, receiving a list of one or more medications identified from a storage device and receiving medication information about each identified medication in the list of the one or more medications from the storage device. The method further includes, calculating a user personalized grade for each of the identified medications based on the medication information and the user information, transmitting the user personalized grade and medication information to the user device and displaying simultaneously on the user device, the user personalized grade, cost factor, prescription experience data, and secondary technical effects of each identified medication.