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市場調查報告書
商品編碼
1532485

美國醫療保健付款人市場的技術解決方案- 解決方案類型(整合、獨立)、付款人類型(商業、政府)、應用程式(分析、索賠、提供者、收入、資料管理和計費、CRM) -全球預測(2024 年- 2032 年)

Technology Solutions in U.S. Healthcare Payer Market - Solution Type (Integrated, Standalone), Payer Type (Commercial, Government), Application (Analytics, Claim, Provider, Revenue, Data Management and Billing, CRM) - Global Forecast (2024 - 2032)

出版日期: | 出版商: Global Market Insights Inc. | 英文 41 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於人工智慧和機器學習應用程式的不斷推出,美國醫療保健付款人市場的技術解決方案規模從 2024 年到 2032 年的複合年成長率預計將達到創紀錄的 7.2%。

最近,公司正在開發和實施人工智慧驅動的分析,以增強索賠處理和詐欺檢測。他們還推出了機器學習模型來個人化患者護理並最佳化資源分配。對提供更複雜的預測見解和自動化管理任務以改善決策、降低成本和提高患者治療效果的技術的強烈需求也將有利於行業的成長。例如,2024 年 7 月,CitiusTech 推出了業界首個 Gen AI 品質和信任解決方案,幫助醫療保健組織確保產生 AI 應用程式的可靠性、品質和信任。

美國醫療保健支付產業的技術解決方案分為解決方案類型、支付方類型和應用。

由於簡化行政流程和改善病患照護管理的需求不斷成長,獨立解決方案類型細分市場的市場規模將在 2024 年至 2032 年間錄得可觀的成長率。獨立解決方案主要用於自動化索賠處理,以增強資料分析並提高患者參與度。醫療保健付款人還利用先進技術來降低營運成本並提高效率。此外,向創新技術解決方案的轉變正在重新定義醫療保健管理和病患照護的格局。

根據付款人類型,美國醫療保健付款人市場的技術解決方案中的政府部分預計將在2024 年至2032 年期間實現顯著成長。管理。最近,電子健康記錄 (EHR) 和高級資料分析等創新正在改善患者護理和營運效率。越來越多的政府計劃採用這些技術來簡化流程和降低成本,這將促進該領域的成長。

在應用方面,由於擴大採用解決方案來提高效率和改善患者護理,預計從 2024 年到 2032 年,美國醫療保健支付市場的技術解決方案將出現顯著的複合年成長率。這些解決方案正在簡化索賠處理,以降低管理成本並增強資料安全性。透過採用電子病歷和先進的資料分析,政府也正在改變醫療保健支付的管理方式,以預測患者需求並最佳化資源分配。此外,政府正在改善不同醫療保健系統之間的互通性,以確保患者資訊的無縫共享和利用。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 產業影響力
    • 成長動力
      • 簡化營運工作流程和減少管理費用的需求不斷增加
      • 轉向基於價值的護理方法
      • 計費和索賠解決方法的現代化
      • 付款人和提供者擴大採用遠距醫療服務
    • 產業陷阱與挑戰
      • 與資料安全和隱私相關的嚴格監管要求
      • 過度依賴傳統商業模式與實踐
  • 成長潛力分析
  • 監管環境
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 公司矩陣分析
  • 競爭定位矩陣
  • 戰略儀表板

第 5 章:市場估計與預測:按解決方案類型,2021 - 2032 年

  • 主要趨勢
  • 融合的
  • 獨立式

第 6 章:市場估計與預測:按付款人類型,2021 - 2032 年

  • 主要趨勢
  • 商業的
  • 政府

第 7 章:市場估計與預測:按應用分類,2021 - 2032

  • 主要趨勢
  • 理賠管理
  • 註冊和會員管理
  • 供應商管理
  • 收入管理和計費
  • 分析
  • 資料管理與授權
  • 個人化/客戶關係管理
  • 基於價值的支付
  • 臨床決策支持
  • 其他應用

第 8 章:公司簡介

  • Cognizant Technology Solutions Corporation
  • HCL Technologies Limited
  • HealthEdge Software, Inc.
  • Hyland Software, Inc.
  • KMS Healthcare
  • Medecision
  • MedHOK, Inc.
  • Open Text Corporation
  • Oracle Corporation
  • OSP
  • Pegasystems Inc.
  • System Soft Technologies LLC
  • Virtusa Corp.
  • ZeOmega, Inc.
  • Zyter, Inc.
簡介目錄
Product Code: 9539

Technology Solutions in U.S. Healthcare Payer Market size is set to record 7.2% CAGR from 2024 to 2032 due to increasing launches of AI and ML applications.

Lately, companies are developing and implementing AI-driven analytics to enhance claims processing and fraud detection. They are also rolling out ML models to personalize patient care and optimize resource allocation. Strong demand for technologies offering more sophisticated predictive insights and automated administrative tasks to improve decision-making, reduce costs, and enhance patient outcomes will also favor the industry growth. For instance, in July 2024, CitiusTech launched its industry-first Gen AI Quality & Trust solution for helping healthcare organizations to ensure reliability, quality, and trust in Generative AI applications.

The technology solutions in U.S. healthcare payer industry is segmented into solution type, payer type, and application.

The market size from the standalone solutions type segment will record a decent growth rate between 2024 and 2032, due to the rising need for streamlining administrative processes and improving patient care management. Standalone solutions are largely implemented to automate claims processing to enhance data analytics and improve patient engagement. Healthcare payers are also leveraging advanced technologies to reduce operational costs and increase efficiency. Moreover, the shift towards innovative technological solutions is redefining the landscape of healthcare administration and patient care.

Based on payer type, the government segment in the technology solutions in U.S. healthcare payer market is expected to record significant growth from 2024 to 2032. Government payers integrate advanced technology solutions to enhance healthcare delivery and management. Lately, innovations such as electronic health records (EHRs) and advanced data analytics are improving patient care and operational efficiency. Rising government programs for adopting these technologies to streamline processes and reduce costs will add to the segment growth.

In terms of application, the technology solutions in U.S. healthcare payer market from the government segment is anticipated to witness significant CAGR from 2024-2032, owing to increasing adoption of solutions to enhance efficiency and improve patient care. These solutions are streamlining claims processing for reducing administrative costs and enhancing data security. By adopting EHRs and advanced data analytics, governments are also transforming how healthcare payments are managed to predict patient needs and optimize resource allocation. Moreover, governments are improving interoperability between different healthcare systems for ensuring that patient information is seamlessly shared and utilized.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates & calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Increasing demand for streamlining operational workflow and reducing administrative expenses
      • 3.2.1.2 Shift towards value-based care approaches
      • 3.2.1.3 Modernization of billing and claim settlement approaches
      • 3.2.1.4 Growing adoption of telehealth services among payers and providers
    • 3.2.2 Industry pitfalls & challenges
      • 3.2.2.1 Stringent regulatory requirements related to data security and privacy
      • 3.2.2.2 Overreliance on traditional business models and practices
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Company matrix analysis
  • 4.4 Competitive positioning matrix
  • 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Solution Type, 2021 - 2032 ($ Mn)

  • 5.1 Key trends
  • 5.2 Integrated
  • 5.3 Standalone

Chapter 6 Market Estimates and Forecast, By Payer Type, 2021 - 2032 ($ Mn)

  • 6.1 Key trends
  • 6.2 Commercial
  • 6.3 Government

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

  • 7.1 Key trends
  • 7.2 Claims management
  • 7.3 Enrollment and member management
  • 7.4 Provider management
  • 7.5 Revenue management and billing
  • 7.6 Analytics
  • 7.7 Data management and authorization
  • 7.8 Personalized/CRM
  • 7.9 Value based payments
  • 7.10 Clinical decision support
  • 7.11 Other applications

Chapter 8 Company Profiles

  • 8.1 Cognizant Technology Solutions Corporation
  • 8.2 HCL Technologies Limited
  • 8.3 HealthEdge Software, Inc.
  • 8.4 Hyland Software, Inc.
  • 8.5 KMS Healthcare
  • 8.6 Medecision
  • 8.7 MedHOK, Inc.
  • 8.8 Open Text Corporation
  • 8.9 Oracle Corporation
  • 8.10 OSP
  • 8.11 Pegasystems Inc.
  • 8.12 System Soft Technologies LLC
  • 8.13 Virtusa Corp.
  • 8.14 ZeOmega, Inc.
  • 8.15 Zyter, Inc.