美国医疗保健付款人市场的技术解决方案- 解决方案类型（整合、独立）、付款人类型（商业、政府）、应用程式（分析、索赔、提供者、收入、资料管理和计费、CRM） -全球预测（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: 2024年05月17日 | 出版商:

Global Market Insights Inc. | 英文 41 Pages | 商品交期: 2-3个工作天内

价格

简介目录

由于人工智慧和机器学习应用程式的不断推出，美国医疗保健付款人市场的技术解决方案规模从 2024 年到 2032 年的复合年增长率预计将达到创纪录的 7.2%。

最近，公司正在开发和实施人工智慧驱动的分析，以增强索赔处理和诈欺检测。他们还推出了机器学习模型来个人化患者护理并优化资源分配。对提供更复杂的预测见解和自动化管理任务以改善决策、降低成本和提高患者治疗效果的技术的强烈需求也将有利于行业的成长。例如，2024 年 7 月，CitiusTech 推出了业界首个 Gen AI 品质和信任解决方案，帮助医疗保健组织确保产生 AI 应用程式的可靠性、品质和信任。

美国医疗保健支付产业的技术解决方案分为解决方案类型、支付方类型和应用。

由于简化行政流程和改善病患照护管理的需求不断增长，独立解决方案类型细分市场的市场规模将在 2024 年至 2032 年间录得可观的成长率。独立解决方案主要用于自动化索赔处理，以增强资料分析并提高患者参与度。医疗保健付款人还利用先进技术来降低营运成本并提高效率。此外，向创新技术解决方案的转变正在重新定义医疗保健管理和病患照护的格局。

根据付款人类型，美国医疗保健付款人市场的技术解决方案中的政府部分预计将在2024 年至2032 年期间实现显着增长。管理。最近，电子健康记录 (EHR) 和高级资料分析等创新正在改善患者护理和营运效率。越来越多的政府计划采用这些技术来简化流程和降低成本，这将促进该领域的成长。

在应用方面，由于越来越多地采用解决方案来提高效率和改善患者护理，预计从 2024 年到 2032 年，美国医疗保健支付市场的技术解决方案将出现显着的复合年增长率。这些解决方案正在简化索赔处理，以降低管理成本并增强资料安全性。透过采用电子病历和先进的资料分析，政府也正在改变医疗保健支付的管理方式，以预测患者需求并优化资源分配。此外，政府正在改善不同医疗保健系统之间的互通性，以确保患者资讯的无缝共享和利用。

产业生态系统分析
产业影响力
- 成长动力
  - 简化营运工作流程和减少管理费用的需求不断增加
  - 转向基于价值的护理方法
  - 计费和索赔解决方法的现代化
  - 付款人和提供者越来越多地采用远距医疗服务
- 产业陷阱与挑战
  - 与资料安全和隐私相关的严格监管要求
  - 过度依赖传统商业模式与实践
成长潜力分析
监管环境
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
公司矩阵分析
竞争定位矩阵
战略仪表板

第 5 章：市场估计与预测：按解决方案类型，2021 - 2032 年

主要趋势
融合的
独立式

第 6 章：市场估计与预测：按付款人类型，2021 - 2032 年

主要趋势
商业的
政府

第 7 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
理赔管理
註册和会员管理
供应商管理
收入管理和计费
分析
资料管理与授权
个人化/客户关係管理
基于价值的支付
临床决策支持
其他应用

第 8 章：公司简介

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.

简介目录

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.

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