Frost Radar：北美收入週期管理營運，2025

Frost Radar: Revenue Cycle Management Operations in North America, 2025

出版日期: 2025年11月04日 | 出版商:

Frost & Sullivan | 英文 74 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

基準化分析體系 - 創新驅動新交易與成長管道

收入週期管理（RCM）領域正經歷著翻天覆地的變化，技術進步、監管政策以及不斷變化的客戶期望迫使 RCM 供應商採取行動，升級其價值提案和策略，以保持競爭力。過去幾年，醫療服務提供者面臨巨大的財務壓力。醫院和醫生集團的利潤率壓縮，目前中位數營運利潤率僅為 1%至 3%，這使得外包非核心但非常重要的業務（包括 RCM）變得迫切需要。

產業正經歷一場技術革命，人工智慧和自動化已成為收入週期管理（RCM）解決方案的差異化優勢。生成式人工智慧、機器學習和機器人流程自動化（RPA）不再是可選項，而是前端、中階和後端 RCM 的核心要素。供應商正被要求從人事費用服務轉型為自主 RCM，實現人工智慧驅動的編碼、索賠拒付預測、預核准和病患支付最佳化。

Frost & Sullivan公司對產業內的眾多公司進行分析。公司根據其領導力及其他特徵進行篩選，然後根據10項成長和創新標準進行基準測試，以確定其在Frost Radar™中的位置。報告會考慮每家公司的優勢以及與這些優勢最契合的機會，呈現Frost Radar™競爭格局。

The revenue cycle management (RCM) operations space is at a structural inflection, and the convergence of technology, regulations, and dynamic buyer expectations is compelling RCM vendors to act and upgrade their value propositions and strategies to remain competitive. Providers have been under significant financial stress in the past few years. Hospitals and physician groups face margin compression with median operating margins now commonly between 1% and 3%, creating urgency to outsource non-core but critical operations, including RCM.

The industry is witnessing a technological disruption, with AI and automation as differentiators in RCM offerings. Generative AI, machine learning, and robotic process automation are no longer optional add-ons but core components of front-end, middle, and back-end RCM. Vendors are under pressure to evolve from labor-intensive delivery to autonomous RCM, enabling AI-driven coding, denial prediction, prior authorization, and patient payment optimization.

Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™ considering their strengths and the opportunities that best fit those strengths.