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市场调查报告书
商品编码
1737211
2026 年至 2032 年医疗保健市场机器人流程自动化(按组件、业务、应用和地区划分)Robotic Process Automation in Healthcare Market By Component, Operations, Application, & Region for 2026-2032 |
医疗保健产业对 RPA(机器人流程自动化)的需求日益增长,其驱动力在于提升业务效率并最大程度减少业务的繁琐手续。医疗保健公司正在使用 RPA 来自动化执行重复且耗时的业务,例如病患预约、计费和理赔处理。这种自动化技术使负责人能够专注于患者照护而非业务,从而提高服务品质并缩短处理时间。因此,预计 RPA 市场规模将在 2024 年超过 12.8 亿美元,到 2032 年将达到约 20.4 亿美元。
RPA 透过提供准确一致的资料管理并降低与手动程式相关的错误机率,帮助确保法规遵循。随着全球医疗机构更加重视数位转型,以改善患者治疗效果和业务效率,RPA 正成为必不可少的工具,推动市场在 2026 年至 2032 年期间以 6% 的复合年增长率成长。
医疗保健市场中的机器人流程自动化定义/概述
医疗保健领域的 RPA 是使用软体机器人或「机器人」来自动执行通常重复的任务并减少管理流程,例如资料输入、病患安排、索赔处理和电子健康记录管理。
医疗保健领域的 RPA 是指透过使用软体机器人或「机器人」来自动执行常规重复性业务,从而减少行政和营运流程。资料输入、病患安排、索赔处理、电子健康记录管理都是此类业务的范例。透过自动化这些重复性业务,医疗保健企业可以大幅减少人为错误、提高效率并降低营运成本。
它有望透过提高业务效率和降低管理成本来改善医疗保健。未来,RPA 将实现各种常规流程的自动化,例如患者预约、开票、理赔处理等。透过自动化这些重复性业务,医护人员将能够提供更准确、更及时的服务,减少错误和延误。
提高数据准确性和优化工作流程是机器人流程自动化 (RPA) 在医疗保健市场发展的关键驱动力。根据美国国家卫生资讯科技协调员办公室 (ONC) 发布的一项研究,十分之一的在线上存取医疗记录的患者会要求更改资料。 RPA 可以透过自动化资料输入和检验任务来帮助减少错误。
此外,《美国医学资讯学会杂誌》发表的一项研究发现,在大型医院的系统中采用RPA,可以将处理保险验证和事先核准等关键管理业务的时间缩短90%。美国劳工统计局预测,2020年至2032年间,医疗记录和健康资讯科技领域的就业人数将增加9%,显示对RPA等高效资料管理技术的需求日益增长。
医疗保健领域的 RPA 产业面临基础设施和客製化方面的重大挑战。将 RPA 技术与现有医疗保健 IT 平台整合是基础设施问题的常见根源。许多医疗保健机构仍在使用过时或分散的 IT 系统,这使得 RPA 解决方案的实施变得困难且成本高昂。
此外,不同医疗保健平台之间缺乏标准化,可能难以确保 RPA 系统在不同环境中运作良好。
客製化问题加剧了医疗保健领域 RPA 市场的挑战。 RPA 系统通常需要客製化,以适应医疗保健企业的特定需求和工作流程。客製化 RPA 解决方案以因应不同的管理流程、患者照护法规和监管需求,可能耗费资源彙整和时间。此外,为了适应不断变化的医疗保健标准和实践,需要持续进行维护和更新,这也会耗费大量资源,并限制 RPA 解决方案的可扩充性。
The growing demand for robotic process automation (RPA) in the healthcare business stems from the need to improve operational efficiency and minimize administrative hassles. Healthcare firms are using RPA to automate repetitive and time-consuming operations including patient scheduling, billing, and claims processing. This automation enables healthcare personnel to focus on patient care rather than administrative tasks resulting in higher service quality and faster processing times by enabling the market to surpass a revenue of USD 1.28 Billion valued in 2024 and reach a valuation of around USD 2.04 Billion by 2032.
RPA helps to ensure regulatory compliance by providing precise and consistent data management, lowering the likelihood of errors associated with manual procedures. As healthcare organizations throughout the world focus more on digital transformation to improve patient outcomes and operational efficiency, RPA is becoming an essential tool by enabling the market to grow at a CAGR of 6% from 2026 to 2032.
Robotic Process Automation in Healthcare Market: Definition/ Overview
Robotic process automation (RPA) in healthcare is the use of software robots or "bots" to automate normal and repetitive operations, thereby reducing administrative and operational processes. Data entry, patient scheduling, billing, claims processing, and electronic health record management are all examples of such duties.
Robotic process automation (RPA) in healthcare is the use of software robots or "bots" to automate normal and repetitive operations, thereby reducing administrative and operational processes. Data entry, patient scheduling, billing, claims processing, and electronic health record management are all examples of such duties. By automating these repetitive activities, healthcare businesses can drastically minimize human error, increase efficiency, and save operating costs.
It is poised to improve healthcare by increasing operational efficiency and lowering administrative costs. In the future, RPA will automate a variety of regular processes including patient scheduling, invoicing, and claims processing. By automating these repetitive operations, healthcare practitioners can reduce errors and delays while providing more accurate and timely services.
Improved data accuracy and optimized workflows are important drivers of robotic process automation (RPA) in the healthcare market. According to a survey published by the Office of the National Coordinator for Health Information Technology (ONC), one in every ten patients who access their medical records online requests data changes. RPA can assist in reducing errors by automating data entry and validation operations.
Furthermore, research published in the Journal of the American Medical Informatics Association discovered that using RPA in a big hospital system resulted in a 90% reduction in processing time for key administrative activities like insurance verification and pre-authorization. The US Bureau of Labor Statistics predicts a 9% increase in medical records and health information technology employment between 2020 and 2032 indicating a growing demand for efficient data management technologies such as RPA.
Infrastructure and customization concerns pose significant challenges to the healthcare robotic process automation (RPA) sector. The integration of RPA technologies with current healthcare IT platforms is a common source of infrastructure problems. Many healthcare organizations use antiquated or fragmented IT systems implementing RPA solutions difficult and expensive.
Furthermore, the lack of standardization across different healthcare platforms might make it challenging to ensure that RPA systems perform well across diverse environments.
Customization concerns worsen the RPA market's challenges in healthcare. RPA systems frequently need to be customized to meet specific demands and workflows within a healthcare company. Customizing RPA solutions to meet different administrative processes, patient care regulations, and regulatory needs can be resource-intensive and time-consuming. Furthermore, the necessity for continuing maintenance and updates to suit changing healthcare standards and practices can tax resources and limit the scalability of RPA solutions.
Software is the dominant component as it automates repetitive and time-consuming operations. The software component of RPA solutions consists of tools and platforms for automating tasks like patient scheduling, claims processing, and data entry. The growing demand for efficiency, accuracy, and cost reduction in healthcare operations drives the adoption of RPA software. The software is also the foundation for integrating diverse healthcare systems and workflows making it an important investment sector.
While software dominates, the services segment which includes installation, support, and maintenance is equally important but secondary. Services are critical for ensuring that RPA software is seamlessly integrated with current systems and workflows. Implementation services assist with the customization and deployment of RPA solutions while support and maintenance services ensure that the software is functioning and up to date.
Claims Management emerges as the dominant application. This dominance stems from the huge volume and complexity of claims processing in healthcare. Claims management automation provides considerable benefits in terms of faster processing, fewer errors, and increased operational efficiency. Automated systems can handle massive volumes of data, ensure proper claim submissions, and speed up reimbursements. This leads to significant cost reductions for both healthcare providers and payers making it a top priority for RPA implementation.
Billing and compliance management are other important applications of RPA in healthcare. This is owing to the necessity for exact billing methods and compliance with regulatory regulations which are both complex and time-consuming. RPA streamlines billing operations reduces manual entry errors, and ensures compliance with growing requirements.
The North American region dominates the robotic process automation (RPA) in the healthcare market due to its established healthcare infrastructure and technological developments. This dominance arises from the region's significant investment in healthcare information technology as well as the pressing need to increase operational efficiency in healthcare institutions. According to the Centers for Medicare & Medicaid Services (CMS), U.S. healthcare spending will total $4.1 trillion in 2020, accounting for 19.7% of the country's GDP.
The need for value-based care models in North America is also driving RPA adoption. The United States Department of Health and Human Services (HHS) intends to tie 50% of Medicare payments to value-based care models by 2025. This transition needs better data management and administrative efficiency, two areas where RPA thrives. Furthermore, the COVID-19 epidemic has hastened digital change in healthcare. According to the American Hospital Association, 76% of hospitals in the United States will use or develop RPA systems by 2021, a significant rise from pre-pandemic levels.
The Asia Pacific region is experiencing the greatest growth in robotic process automation (RPA) in the healthcare market owing to growing investment in smart technologies and rising disposable incomes. This rapid increase is driven by the region's rapid technological adoption and rising demand for efficient healthcare services. The boom in smart technology investments in the Asia Pacific healthcare industry is a significant driver of RPA adoption.
According to the Asian Development Bank, healthcare spending in the region is expected to reach USD 2.4 Trillion by 2032 with a large chunk going toward digital health technologies. China, a prominent participant in the region has detailed plans to invest USD 1.4 Trillion in digital infrastructure between 2020 and 2025, according to the National Development and Reform. Rising disposable incomes in the region are also driving up healthcare spending and technological use. According to the World Bank, GDP per capita in East Asia and the Pacific increased from $10,110 in 2010 to $11,935 in 2020 showing an increasing capacity for healthcare expenditure. Furthermore, the COVID-19 pandemic has expedited the use of RPA in healthcare across Asia Pacific.
The Robotic Process Automation in Healthcare Market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support. The organizations are focusing on innovating their product line to serve the vast population in diverse regions.
Some of the prominent players operating in the robotic process automation in the healthcare market include: