AI Billing Platform Automating ICD-10 and CPT Code Integration

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Solution Overview

Problem

Current medical billing systems face challenges in efficiently integrating and updating CPT, HCPCS Level II, and ICD codes, leading to time-consuming processes for medical practitioners, particularly in specialties like dentistry, which can result in claim rejections and delayed payments.

Innovation Solution

A questionnaire-based billing platform that automatically generates ICD-10 codes from patient health history and associates them with CPT codes, creating an autofill note template for practitioners to fill out, ensuring CMS approval and audit-proof billing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual code lookup and integration processes are used, then practitioners can accurately assign CPT and ICD codes, but the billing process becomes time-consuming and inefficient

Engineering Contradiction:
Improvebilling process efficiencyVSAvoidtime for code lookup and integration
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically generating ICD-10 codes from patient health history data before the practitioner needs to assign codes. The platform pre-integrates the mapping between ICD-10 diagnostic codes and CPT procedural codes, so when a practitioner inputs patient information, the corresponding codes are already prepared and associated, eliminating the need for manual code lookup and integration during the billing process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The billing platform acts as an intermediary between patient health history data and the required CPT/ICD code assignments. It automatically processes the health history information, generates appropriate ICD-10 codes, and integrates them with corresponding CPT codes through automated mapping logic, thereby mediating the complex code integration process and freeing practitioners from manual code assignment tasks.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If practitioners manually integrate multiple coding systems (CPT, HCPCS, ICD), then accurate billing can be achieved, but the complexity of the process increases

Engineering Contradiction:
Improvebilling accuracyVSAvoidcoding system integration complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system merges multiple coding systems (CPT, HCPCS Level II, and ICD-10) into a single integrated billing platform. It combines the functionality of generating ICD-10 diagnostic codes, selecting appropriate CPT procedural codes, and integrating HCPCS Level II codes into one unified system that automatically handles the relationships between all three coding systems, thereby reducing the perceived complexity for practitioners while maintaining billing accuracy.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The billing platform performs multiple functions within a single system: it generates ICD-10 codes from patient history, maps them to appropriate CPT codes, integrates HCPCS Level II codes where applicable, and produces complete billing documentation. This multi-functional approach eliminates the need for practitioners to separately manage multiple coding systems and their interrelationships.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If automated code generation is implemented, then billing efficiency improves, but the risk of coding errors may increase

Engineering Contradiction:
Improvecode assignment speedVSAvoidcode assignment accuracy
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The system incorporates feedback mechanisms where the automated code generation is validated against established coding guidelines and mapping rules. The platform provides practitioners with the automatically generated codes for review and verification, allowing them to confirm or adjust the assignments before final submission. This feedback loop ensures that automated code generation maintains high accuracy while improving efficiency.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20240194315A1Questionnaire Based Medical Billing Platform Automating ICD-10 Codes with integration of proper CPT coding
Publication Date: 2024.06.13 POOVEY JOHN P
  • US20240194315A1 patent drawing
  • US20240194315A1 patent drawing
  • US20240194315A1 patent drawing

AI summary

An AI supported questionnaire based billing platform and associated methodology includes inputting a patient health history; generating automatically a list of ICD codes based upon the patient health history; generating automatically a listing of CPT codes associated with the list ICD codes; selecting by a medical practitioner CPT codes to be performed on the patient from the CPT codes listing; generating an on-line user fillable operative notes template based upon the selected CPT codes, wherein the selected CPT codes are matched with ICD codes; prompting the practitioner to fill out all relevant portions of the operative notes template; obtaining a signature of the practitioner on the operative notes template, wherein the practitioner is prevented completing the template until all relevant portions of the operative notes template have been properly filled out; and generating a bill based upon the completed and signed operative notes template.