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Description
Amy, developed by CombineHealth, is an innovative AI solution designed for automating medical coding processes, specifically tailored for mid-sized hospitals and multi-specialty physician practices, enabling them to streamline intricate coding workflows with assurance. It encompasses a comprehensive range of coding systems, including CPT, ICD-10, HCPCS, E/M, modifiers, and various specialty-specific requirements.
By scrutinizing clinical documentation alongside coding guidelines, payer rules, and specialty standards, Amy produces precise and understandable coding recommendations. The system effectively uncovers missed services, identifies gaps in documentation, highlights opportunities for undercoding, and points out coding exceptions, providing supporting evidence for each proposed code.
One of Amy's standout features is its continuous feedback mechanism; as it codes each chart, it analyzes the outcomes related to claims, such as denials and payer responses, to enhance its future coding accuracy and minimize recurring mistakes. In practical application, Amy boasts an impressive coding accuracy rate exceeding 98%, achieves up to 85% automation in the coding process, and facilitates a significant 75% decrease in denials related to coding. This combination of automation and precision makes Amy a vital tool for healthcare providers aiming to optimize their coding efficiency and accuracy.
Description
E-COMB, or EDI Compatible Medical Billing, serves as a web-based platform designed to create medical claims that adhere to the HIPAA transaction and code set standards mandated by the US Government in accordance with the guidelines established by the American National Standards Institute (ANSI). This solution facilitates the generation, submission, and reconciliation of claims directed towards insurance companies, guarantors, and patients, making it an essential resource for healthcare providers to optimize their revenue by significantly shortening the claims reimbursement process. Additionally, all pertinent information related to the operational context of a Doctor’s Office or Hospital is compiled as Master Data, which is often utilized for claims processing and tends to remain stable over time. This Master Data encompasses critical details regarding Procedures, Diagnoses, Doctors, Payers, and Billing Providers, among others, and is initially created during the setup phase, with the flexibility for updates as necessary. Consequently, E-COMB not only streamlines the billing procedure but also ensures that healthcare professionals have easy access to the most current and relevant information for their operations.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
CombineHealth AI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CombineHealth
Founded
2022
Country
United States
Website
www.combinehealth.ai/
Vendor Details
Company Name
KBTS Technologies
Website
www.kbtstech.com
Product Features
Product Features
Medical Billing
Claims Processing
Claims Scrubbing
Code & Charge Entry
Compliance Tracking
Customizable Dashboard
Dunning Management
Invoice History
Patient Eligibility Checks
Practice Management
Quotes/Estimates
Remittance Advice
Alternatives
No Alternatives