Physician Recommendation System Using User Feedback
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Solution Overview
Problem
The process of choosing a healthcare provider is time-consuming and inefficient due to limited information and reliance on non-qualitative credential-based rankings, making it difficult for patients to find a physician that suits their specific needs.
Innovation Solution
A system and method for recommending a physician based on user-generated feedback and expertise data, allowing patients to input search criteria and compare physicians based on user experiences, ultimately displaying a recommendation tailored to individual needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physician finder services use ranking systems based on ratings and credentials, then physicians can be ranked and compared, but the information provided remains scant and does not reflect qualitative patient experiences
Solution Approach 1:
The patent introduces user profiles and experience data as an intermediary layer between patients and physicians. Instead of directly ranking physicians based on limited credentials, the system uses user-generated experience data and detailed user profiles to mediate the matching process, providing richer information while maintaining system manageability through structured data collection and comparison algorithms.
2Reliability
If patients meet and spend time with multiple physicians to find one that suits their needs, then they can make an informed decision, but the process becomes time-consuming and tedious
Solution Approach 1:
The system performs preliminary actions by pre-collecting and structuring user experience data, physician credentials, and user profiles before patients need to make decisions. The comparison algorithm pre-processes this information to generate ranked recommendations, allowing patients to make informed decisions without having to personally evaluate multiple physicians, thus saving time while maintaining decision quality.
Solution Approach 2:
The system implements feedback loops where user experiences with physicians are collected, stored, and used to improve future recommendations. User profiles and experience data are continuously updated and fed back into the comparison algorithm, enabling the system to learn from past interactions and provide increasingly accurate recommendations, reducing the time needed for patients to find suitable physicians.
3Reliability
If more physician data is collected to enable informed decisions, then patient care improves, but the complexity of managing and processing this data increases
Solution Approach 1:
The patent segments physician data into distinct categories including credentials, user experience data, user profiles, and comparison criteria. This segmentation allows the system to manage complex data by organizing it into manageable, structured components that can be independently processed and analyzed by the comparison algorithm, reducing overall data management complexity while enabling comprehensive evaluation.
Data Source
AI summary
A method for recommending a physician, comprising obtaining user feedback for the physician prior to obtaining a plurality of search criteria, obtaining the plurality of search criteria specifying physician expertise, identifying a plurality of physicians based on a search of the plurality of search criteria, wherein the search is performed on a user generated physician expertise data set, performing a comparison of the plurality of physicians, and displaying a recommendation for one of the plurality of physicians based on the comparison.