Orthodontic Referral Matching Algorithm
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Solution Overview
Problem
Current orthodontic treatment referral systems lack efficiency in matching patients with suitable dental professionals based on specific treatment parameters, leading to suboptimal treatment outcomes and inefficient patient-doctor matching.
Innovation Solution
A system and method for generating patient and doctor profiles based on weighted orthodontic treatment parameters, using a database query to provide optimized referrals that consider initial patient conditions, treatment goals, and doctor expertise, success rates, and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional referral systems are used, then the process is simple, but the matching accuracy between patients and dental professionals is low
Solution Approach 1:
The system transforms the referral process by changing parameters from simple geographic proximity to multi-dimensional matching parameters including orthodontic condition type, treatment difficulty level, doctor expertise areas, success rates, and patient preferences. This parameter expansion enables precise matching while maintaining system usability through automated processing.
Solution Approach 2:
The patent introduces a computerized referral management system as an intermediary between patients and dental professionals. This intermediary automatically processes matching algorithms, queries databases, and generates referral lists, eliminating the need for manual screening while improving matching accuracy through systematic evaluation of multiple parameters.
2Reliability
If comprehensive treatment parameters are considered, then the referral quality improves, but the time required for processing increases
Solution Approach 1:
The system performs preliminary actions by pre-organizing doctor profiles and patient records in structured databases with standardized parameters before referrals are needed. Treatment parameters, orthodontic conditions, and doctor credentials are pre-categorized and weighted, enabling rapid retrieval and matching when referral decisions must be made.
Solution Approach 2:
The patent replaces manual mechanical review processes with automated computer-based algorithms that systematically evaluate treatment parameters, query databases, and rank doctor recommendations. This substitution eliminates time-consuming manual assessment while maintaining comprehensive consideration of all relevant factors through programmed evaluation criteria.
3Productivity
If manual referral processes are used, then the system is easy to operate, but the efficiency and productivity are low
Solution Approach 1:
The system enables self-service functionality where the automated referral management platform independently performs database queries, evaluates matching criteria, and generates referral recommendations without requiring manual intervention. The system serves itself by automatically updating databases, re-calculating matches, and providing ongoing referral support, thereby increasing productivity while maintaining ease of use through intuitive interfaces.
Data Source
AI summary
In particular embodiments, method, apparatus and system for generating a doctor profile based on one or more parameters associated with the doctor treatment information, generating a patient dental profile based at least in part on a weighting of a plurality of orthodontic-related treatment parameters, and providing one or more doctor referrals based on the generated doctor profile and the generated orthodontic patient profile are provided.