Database Record Prioritization With Rules And Scoring

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Solution Overview

Problem

Existing systems face delays and inefficiencies in processing transaction records due to data anomalies and delays in handling, which can impact timely completion and cash flow, particularly in healthcare settings where payments are delayed and become problematic.

Innovation Solution

A records management and processing system that employs a rules engine to apply predefined rules and tags to transaction records, prioritizing processing based on conditions and status, using a prioritization engine to score and prioritize records for expedited handling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If transaction records are processed using existing systems, then basic processing can be performed, but processing delays and inefficiencies occur due to data anomalies and lack of prioritization

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidprocessing delay

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-defining rules and tags before processing occurs. The rules engine is configured with predefined conditions and actions that are applied automatically to incoming transaction records, enabling prioritization before the records enter the processing queue. This preliminary configuration allows the system to quickly identify and prioritize critical records without delays.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where the rules engine continuously monitors processing status and adjusts prioritization based on real-time conditions. The prioritization engine receives feedback about record processing progress and data anomalies, dynamically adjusting priorities to resolve bottlenecks and ensure timely completion of critical transactions.

Inventive Principle:

Principle #23Feedback

2Ease of operation

If all transaction records are processed equally, then processing is simple, but cash flow is impacted due to delayed handling of critical records

Engineering Contradiction:

Improveprocessing simplicityVSAvoidpayment delay

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system applies local quality by treating different transaction records differently based on their specific characteristics and assigned tags. Instead of uniform processing, the rules engine applies customized processing priorities and handling procedures to specific record types (e.g., critical payments vs. routine transactions), ensuring that records requiring urgent attention receive expedited processing while maintaining overall system simplicity.

Inventive Principle:

Principle #3Local quality

3Adaptability or versatility

If manual prioritization is used, then processing can be controlled, but resource overhead increases and scalability is limited

Engineering Contradiction:

Improveprocessing controlVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements self-service through automated rules that transaction records evaluate against themselves. The rules engine automatically applies predefined conditions and actions to each record, eliminating the need for manual prioritization interventions. Records self-determine their priority level based on their attributes and matching rules, reducing operational complexity while maintaining adaptability through configurable rule sets.

Inventive Principle:

Principle #25Self-service

4Productivity

If data anomalies are not addressed through prioritization, then processing continues uninterrupted, but timely completion is impacted

Engineering Contradiction:

Improvecontinuous processingVSAvoidtimely completion

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system uses feedback mechanisms where the rules engine monitors processing status and detects data anomalies in real-time. When anomalies are detected, the system adjusts priorities of affected records and notifies appropriate stakeholders, ensuring that continuous processing continues while maintaining reliable timely completion through dynamic response to异常情况.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12405960B2Methods and systems for determining a priority for processing of selected database records

Publication Date: 2025.09.02 ENSEMBLE RCM LLC

AI summary

Embodiments of the present disclosure are directed to methods and systems for the processing of database records. Processing database records can comprise maintaining a records in a database. A subset of records from the plurality of records can be identified for further process, e.g., based on a value stored in a field of each record. Each record of the identified subset of records can be scored based on a plurality of factors related to each record of the identified subset of records. The identified subset of records can then be prioritized into an ordered list of records based on the score for each record of the identified subset of records and one or more workflows can be executed on the identified subset of records based on the ordered list of records.