Bitwise Rules Matching Engine for Medical Pricing
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Solution Overview
Problem
The challenge in providing medical items to patients is exacerbated by complex pricing contracts that require manual or inefficient electronic comparison of numerous rules, leading to inaccurate pricing, resource waste, and delays in patient care.
Innovation Solution
A computer-implemented method using bitwise rules matching to quickly and accurately identify applicable pricing rules by generating specificity scores for each rule based on matching criteria, facilitating efficient and rapid selection and application of the best matching rule for medical item purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual or traditional electronic comparison of pricing rules is used, then accuracy in rule selection can be maintained through human review, but productivity is severely reduced and time consumption increases
Solution Approach 1:
The patent replaces manual mechanical review of pricing rules with an automated computer-implemented system that uses bitwise operations to rapidly compare purchase criteria against numerous pricing rules. The system automatically generates specificity scores, compares rules, and determines the best matching rule without human intervention, thereby dramatically increasing productivity while reducing time loss.
Solution Approach 2:
The patent transforms the rule comparison process by changing the parameter representation to bitwise format. Each pricing rule and purchase criteria are converted into binary representations, enabling rapid computational comparison through bitwise operations. This parameter transformation allows the system to evaluate multiple rules simultaneously and determine the best match much faster than traditional methods.
2Measurement precision
If numerous pricing rules are manually reviewed to ensure accurate pricing, then measurement precision of rule applicability is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent replaces complex manual analysis of pricing rule applicability with an automated computational system that uses bitwise operations to precisely determine rule matching. The system automatically generates specificity scores by comparing bitwise representations of purchase criteria against pricing rules, eliminating human error while managing complexity through algorithmic automation rather than manual processes.
Solution Approach 2:
The patent segments the pricing rule comparison process into distinct computational components: converting criteria to bitwise representation, generating specificity scores through bitwise operations, comparing scores to determine rule applicability, and selecting the best matching rule. This segmentation transforms a complex monolithic process into manageable modular steps that can be executed efficiently by computer systems.
3Productivity
If traditional rule comparison methods are used, then ease of operation is maintained through simple processes, but productivity and speed of medical item supply are reduced
Solution Approach 1:
The patent implements a self-service automated system that independently performs the entire pricing rule comparison and selection process. The system automatically converts purchase criteria to bitwise format, generates specificity scores, compares rules, and determines the best matching rule without requiring manual operation. This self-service capability dramatically increases productivity while the automated nature simplifies operation for users who only need to input purchase information.
Solution Approach 2:
The patent replaces manual mechanical operations of rule review and selection with automated computer-based bitwise operations. The system rapidly processes pricing rules through computational algorithms, generating specificity scores and determining applicability instantaneously. This substitution maintains ease of operation for users while dramatically increasing the speed and productivity of the overall procurement process.
4Reliability
If comprehensive rule analysis is performed to prevent pricing errors, then reliability of pricing accuracy is improved, but loss of time and computational resources increase
Solution Approach 1:
The patent changes the parameter representation of pricing rules and purchase criteria into bitwise format, enabling efficient computational processing. By representing data in binary form, the system can perform rapid bitwise operations to generate specificity scores and compare rules, maintaining comprehensive analysis for pricing accuracy while significantly reducing computational resource consumption compared to traditional methods.
Solution Approach 2:
The patent replaces resource-intensive manual or traditional electronic rule analysis with automated bitwise computational operations. The system efficiently processes numerous pricing rules by converting them to bitwise representations and using rapid computational comparison to generate specificity scores. This substitution maintains high reliability in pricing accuracy through comprehensive rule analysis while dramatically reducing the loss of computational energy and resources.
Data Source
AI summary
Techniques for patient medical care are disclosed. These techniques include identifying a plurality of rules relating to a purchase of a medical item. The techniques further include selecting a first rule, of the plurality of rules, to apply to the purchase, including generating a specificity score for each of the plurality of rules, based on setting one or more bit values in each specificity score using matching criteria between the respective rule and the purchase and comparing the specificity scores for the plurality of rules. The techniques further include facilitating supply of the medical item to a patient based on completing the purchase using the selected first rule.