BUDDI AI 的 Coding.AI：值得關注的新解決方案 (2023)

由於人員短缺和預算緊張，醫療保健提供者越來越多地採用自動化編碼解決方案。為了解決這個問題，BUDDI AI 旨在提高收入週期績效並解決醫療保健組織的擔憂，以確保編碼品質合規性並提高營運效率。這是透過將特定領域的規則引擎與 AI 模型的主動學習功能、靈活的文件格式方法以及 CPT、MIPS、ICD-10 和修飾符的代碼分配功能相結合來實現的。

本報告以BUDDI AI所提供的解決方案Coding.AI為焦點，調查使用的醫療提供者及供應商客戶體驗等資訊。

目錄

主要調查結果:

第1章 BUDDI AI的Coding.AI:客戶經驗概要

第2章 應該考慮的點

第3章 BUDDI AI:企業簡介

第4章 解決方案的技術規格 (BUDDI AI提供)

Staffing shortages and budgetary pressures are increasing provider adoption of autonomous coding solutions. To address these issues, BUDDI AI aims to improve revenue cycle performance and address healthcare concerns by ensuring coding quality compliance, which increases operational efficiency. This is done by combining a specialty-specific rules engine with the active learning capabilities of AI models, a flexible approach to file formats, and the ability to assign codes for CPT, MIPS, ICD-10, and modifier. This report offers a first look at both provider and vendor experiences with BUDDI AI's Coding.AI.

Table of Contents

Key Findings:

1. )BUDDI AI's Coding.AI Customer Experience: An Initial Look

2.) Points to Ponder

3. )BUDDI AI: Company Profile at a Glance

4.) Solution Technical Specifications (provided by BUDDI AI)