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医疗排班软体市场 - 全球产业规模、份额、趋势、机会、预测：按产品、部署类型、最终用户、地区和竞争对手划分，2021-2031 年

Medical Scheduling Software Market - Global Industry Size, Share, Trends, Opportunity, & Forecast Segmented By Product, By Deployment, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3个工作天内

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简介目录

全球医疗保健预约管理软体市场预计将从 2025 年的 4.6961 亿美元成长到 2031 年的 8.7932 亿美元，复合年增长率为 11.02%。

该软体是专为医疗机构内患者预约自动化、员工排班管理和资源分配监督而设计的数位化平台。市场成长的主要驱动力是迫切的需求，例如提高营运效率、减轻员工行政负担以及减少因患者爽约造成的收入损失。透过实现医疗服务提供者和患者之间的无缝沟通，这些系统显着提高了工作流程效率和医疗服务的可近性。然而，正如医疗集团管理协会 (MGMA) 在 2024 年指出的那样，仅有 11% 的医疗集团领导者表示大多数患者使用数位化工具进行自助预约，这凸显了巨大的市场缺口和成长潜力。

市场概览
预测期 2027-2031
市场规模：2025年 4.6961亿美元
市场规模：2031年 8.7932亿美元
复合年增长率：2026-2031年 11.02%
成长最快的细分市场 患者预约管理
最大的市场 北美洲

儘管存在这些营运优势，但市场推广的主要障碍在于难以将第三方预约管理工具与现有的电子健康记录 (EHR) 系统整合。互通性问题常常导致资料孤岛和工作流程中断，使得医疗机构不愿采用无法与其现有基础设施无缝整合的独立介面。此外，确保无缝同步和符合资料隐私标准所需的大量成本和技术资源也可能阻碍小规模医疗机构升级其预约管理技术。

市场驱动因素

人工智慧 (AI) 和预测分析技术的应用正在从根本上重塑市场格局，彻底改变医疗机构管理复杂日程和患者就诊流程的方式。现代演算法利用历史数据预测预约高峰时段，并识别可能错过预约的患者，从而使管理人员能够主动调整人员配置。随着医疗系统逐步实现人工物流任务的自动化，这项技术进步正蓬勃发展。根据美国医院协会 (AHA) 2024 年的报告，使用预测性人工智慧进行预约管理和营运的医院比例将上升至 67%，这表明医疗产业正朝着智慧自动化方向迈进。透过利用这些工具，医疗机构可以动态地填补空缺职位，并减少以往阻碍生产力的营运摩擦。

同时，以患者为中心的医疗服务和自助预约模式的兴起，正迫使软体供应商更加重视行动端的便利性和用户友好的体验。现代患者希望即使在诊所营业时间之外，也能透过智慧型手机轻鬆预约，这推动了提供即时预约资讯的云端入口网站的普及。根据ZockDoc于2024年12月发布的《患者需求》报告，68%的预约都是透过行动装置完成的，凸显了行动装置优化介面的必要性。这种转变也具有重要的经济意义，因为便利的预约流程可以最大限度地减少诊所的停工时间。 TransLoc在2024年的预测显示，患者爽约每年对美国医疗保健系统造成1500亿美元的损失，这为诊所投资能够提高患者就诊率和收入的软体提供了强有力的经济奖励。

市场挑战

第三方预约管理解决方案与现有电子健康记录 (EHR) 系统整合的难度仍然是全球医疗预约软体市场成长的主要障碍。当这些数位平台无法与现有基础设施无缝整合时，医疗机构将面临资料孤岛和工作流程碎片化的问题，需要人工干预。这种互通性管理人员重复输入数据，增加了出错风险，并削弱了软体本应提供的营运效率。因此，决策者往往不愿意采用无法与现有患者资料库自动同步的独立介面。

这种技术摩擦带来了严峻的财务和资源挑战，尤其对于IT预算有限的小规模医疗机构而言更是如此。建立无缝连接的成本往往超过自动化排班带来的即时效益，迫使医疗服务提供者继续沿用低效率的传统方法。美国平价医疗品质委员会（Council for Affordable Quality Healthcare）报告称，由于从人工工作流程向全电子化工作流程过渡缓慢，到2024年，美国医疗产业错失了200亿美元的潜在节省。这项数据凸显了非整合工作流程带来的沉重经济负担，导致许多医疗机构推迟必要的技术升级。

市场趋势

随着医疗机构向灵活的医疗服务模式转型，混合式远端医疗与线下预约流程的整合正迅速成为一大趋势。传统的旧有系统将线上和线下咨询分开，而当前的市场创新则将它们整合到一个统一的日历介面中。这种整合使管理者能够动态优化不同诊疗环境下的医护人员出诊安排，从而有效利用临床医生的时间，无论咨询类型如何。 2025年2月，美国国家农村卫生协会（NRHA）报告称，83%的医疗服务提供者支持混合医疗模式，凸显了能够无缝管理这一复杂流程的预约平台的紧迫性。

同时，人工智慧聊天机器人和语音预约系统的引入，带来了静态入口网站无法实现的互动式自动化功能。这些先进的智慧代理利用自然语言处理技术，无需人工干预即可处理复杂的预约请求、对症状进行分诊，并透过电话或简讯确认预约。这项技术克服了传统自助预约工具的局限性，能够满足偏好语音交流或有复杂预约需求的患者的需求。根据 Telnyx 于 2025 年 10 月发布的一份报告，已实施语音人工智慧解决方案的医疗机构已将行政工作量减少了高达 70%，这表明医疗机构正在向互动式介面转变，以实现高效的预约管理。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球医疗保健排班软体市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 产品特定（病患预约管理、医疗服务提供者预约管理、其他）
    • 部署方式（云端部署、本机部署）
    • 依最终用户（医院、诊所等）划分
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美医疗保健排班软体市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国别分析
    • 我们
    • 加拿大
    • 墨西哥

第七章：欧洲医疗保健排班软体市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国别分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区医疗排班软体市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国别分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东和非洲医疗排班软体市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东与非洲：国别分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美洲医疗保健排班软体市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国别分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 促进因素
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 近期趋势

第十三章：全球医疗保健排班软体市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的议价能力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • Kareo, Inc.
  • Oracle Corporation
  • NXGN Management, LLC
  • American Medical Software
  • Callflow Software Ltd.
  • Caspio, Inc.
  • SuperSaaS
  • AdvancedMD, Inc
  • TIMIFY
  • Sign In Solutions Inc

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 24356

The Global Medical Scheduling Software Market is projected to expand from USD 469.61 Million in 2025 to USD 879.32 Million by 2031, registering a CAGR of 11.02%. This software functions as a specialized digital platform dedicated to automating patient appointment bookings, managing staff rosters, and overseeing resource allocation within healthcare institutions. The market is primarily driven by the critical need to improve operational efficiency, alleviate the administrative workload on staff, and mitigate revenue losses caused by appointment no-shows. By enabling smoother coordination between providers and patients, these systems greatly improve workflow productivity and access to care. However, the Medical Group Management Association noted in 2024 that only 11% of medical group leaders reported a majority of their patients using digital tools for self-scheduling, highlighting a significant gap and a major opportunity for market growth.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 469.61 Million
Market Size 2031USD 879.32 Million
CAGR 2026-203111.02%
Fastest Growing SegmentPatient Scheduling
Largest MarketNorth America

Despite these operational advantages, a major hurdle to wider market adoption is the difficulty of integrating third-party scheduling tools with legacy Electronic Health Record (EHR) systems. Issues with interoperability frequently create data silos and disjointed workflows, leading healthcare organizations to hesitate before adopting standalone interfaces that do not communicate fluidly with their established infrastructure. Additionally, the substantial costs and technical resources necessary to guarantee seamless synchronization and compliance with data privacy standards can discourage smaller medical practices from upgrading their scheduling technologies.

Market Driver

The incorporation of Artificial Intelligence and Predictive Analytics is fundamentally reshaping the market by altering how facilities handle complex rosters and patient flow. Modern algorithms utilize historical data to forecast appointment spikes and pinpoint patients likely to miss visits, enabling administrators to adjust staffing levels proactively. This technological evolution is gaining momentum as healthcare systems aim to automate manual logistical tasks; the American Hospital Association reported in 2024 that the percentage of hospitals using predictive AI for scheduling and operations increased to 67%, signaling a clear shift toward intelligent automation. By employing these tools, providers can dynamically fill vacancies and reduce the operational friction that traditionally hinders productivity.

Concurrently, the rise of Patient-Centric Care and Self-Scheduling Models is compelling software vendors to focus on mobile accessibility and consumer-friendly experiences. Patients today expect the convenience of booking appointments via smartphones outside of standard office hours, driving the deployment of cloud-based portals that provide real-time availability. According to Zocdoc's 'What Patients Want Report' from December 2024, 68% of all bookings were made on mobile devices, emphasizing the need for mobile-optimized interfaces. This shift is also financially critical, as seamless booking minimizes calendar gaps; TransLoc estimated in 2024 that missed appointments cost the U.S. healthcare system $150 billion annually, providing a strong economic incentive for practices to invest in software that ensures higher attendance and revenue.

Market Challenge

The difficulty of integrating third-party scheduling solutions with legacy Electronic Health Record (EHR) systems remains a primary obstacle to the growth of the Global Medical Scheduling Software Market. When these digital platforms fail to communicate fluidly with existing infrastructure, healthcare facilities face data silos and fragmented workflows that require manual intervention. This lack of interoperability forces administrative staff to perform redundant data entry, increasing the risk of errors and negating the operational efficiencies the software is designed to deliver. Consequently, decision-makers are often reluctant to implement standalone interfaces that do not synchronize automatically with their established patient databases.

This technical friction presents a severe financial and resource challenge, especially for smaller medical practices with limited IT budgets. The cost of establishing seamless connectivity often exceeds the immediate benefits of automated scheduling, leading providers to stick with inefficient legacy methods. According to the Council for Affordable Quality Healthcare, the U.S. healthcare industry missed a potential savings opportunity of $20 billion in 2024 by not transitioning from manual to fully electronic administrative transactions. This statistic highlights the heavy financial burden caused by non-integrated workflows, causing many facilities to delay necessary technological upgrades.

Market Trends

The consolidation of Hybrid Telehealth and In-Person Booking Workflows is rapidly becoming a key trend as healthcare facilities adapt to flexible care delivery models. Unlike traditional legacy systems that separate virtual visits from physical appointments, current market innovations are merging these modalities into a single, cohesive calendar interface. This unification allows administrators to optimize provider availability across different care settings dynamically, ensuring that a clinician's time is used effectively regardless of the visit type. In February 2025, the National Rural Health Association reported that 83 percent of healthcare providers support hybrid care models, reinforcing the urgent need for scheduling platforms capable of seamlessly managing this operational complexity.

At the same time, the deployment of AI-Powered Chatbots and Voice-Enabled Booking is introducing a conversational layer of automation that goes beyond the capabilities of static web portals. These advanced agents use Natural Language Processing to handle complex scheduling requests, symptom triage, and appointment confirmations via phone or text without human assistance. This technology addresses the limitations of standard self-scheduling tools by capturing demand from patients who prefer verbal interaction or have complex booking needs. According to Telnyx in October 2025, healthcare providers using Voice AI solutions have seen up to a 70% reduction in administrative tasks, validating the shift toward conversational interfaces for efficient appointment management.

Key Market Players

  • Kareo, Inc.
  • Oracle Corporation
  • NXGN Management, LLC
  • American Medical Software
  • Callflow Software Ltd.
  • Caspio, Inc.
  • SuperSaaS
  • AdvancedMD, Inc
  • TIMIFY
  • Sign In Solutions Inc

Report Scope

In this report, the Global Medical Scheduling Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Medical Scheduling Software Market, By Product

  • Patient Scheduling
  • Care Provider Scheduling
  • Others

Medical Scheduling Software Market, By Deployment

  • Cloud-Based
  • On-Premise

Medical Scheduling Software Market, By End User

  • Hospitals
  • Clinics
  • Others

Medical Scheduling Software Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Medical Scheduling Software Market.

Available Customizations:

Global Medical Scheduling Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Medical Scheduling Software Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Product (Patient Scheduling, Care Provider Scheduling, Others)
    • 5.2.2. By Deployment (Cloud-Based, On-Premise)
    • 5.2.3. By End User (Hospitals, Clinics, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Medical Scheduling Software Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Product
    • 6.2.2. By Deployment
    • 6.2.3. By End User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Medical Scheduling Software Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Product
        • 6.3.1.2.2. By Deployment
        • 6.3.1.2.3. By End User
    • 6.3.2. Canada Medical Scheduling Software Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Product
        • 6.3.2.2.2. By Deployment
        • 6.3.2.2.3. By End User
    • 6.3.3. Mexico Medical Scheduling Software Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Product
        • 6.3.3.2.2. By Deployment
        • 6.3.3.2.3. By End User

7. Europe Medical Scheduling Software Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Product
    • 7.2.2. By Deployment
    • 7.2.3. By End User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Medical Scheduling Software Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Product
        • 7.3.1.2.2. By Deployment
        • 7.3.1.2.3. By End User
    • 7.3.2. France Medical Scheduling Software Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Product
        • 7.3.2.2.2. By Deployment
        • 7.3.2.2.3. By End User
    • 7.3.3. United Kingdom Medical Scheduling Software Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Product
        • 7.3.3.2.2. By Deployment
        • 7.3.3.2.3. By End User
    • 7.3.4. Italy Medical Scheduling Software Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Product
        • 7.3.4.2.2. By Deployment
        • 7.3.4.2.3. By End User
    • 7.3.5. Spain Medical Scheduling Software Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Product
        • 7.3.5.2.2. By Deployment
        • 7.3.5.2.3. By End User

8. Asia Pacific Medical Scheduling Software Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Product
    • 8.2.2. By Deployment
    • 8.2.3. By End User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Medical Scheduling Software Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Product
        • 8.3.1.2.2. By Deployment
        • 8.3.1.2.3. By End User
    • 8.3.2. India Medical Scheduling Software Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Product
        • 8.3.2.2.2. By Deployment
        • 8.3.2.2.3. By End User
    • 8.3.3. Japan Medical Scheduling Software Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Product
        • 8.3.3.2.2. By Deployment
        • 8.3.3.2.3. By End User
    • 8.3.4. South Korea Medical Scheduling Software Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Product
        • 8.3.4.2.2. By Deployment
        • 8.3.4.2.3. By End User
    • 8.3.5. Australia Medical Scheduling Software Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Product
        • 8.3.5.2.2. By Deployment
        • 8.3.5.2.3. By End User

9. Middle East & Africa Medical Scheduling Software Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Product
    • 9.2.2. By Deployment
    • 9.2.3. By End User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Medical Scheduling Software Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Product
        • 9.3.1.2.2. By Deployment
        • 9.3.1.2.3. By End User
    • 9.3.2. UAE Medical Scheduling Software Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Product
        • 9.3.2.2.2. By Deployment
        • 9.3.2.2.3. By End User
    • 9.3.3. South Africa Medical Scheduling Software Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Product
        • 9.3.3.2.2. By Deployment
        • 9.3.3.2.3. By End User

10. South America Medical Scheduling Software Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Product
    • 10.2.2. By Deployment
    • 10.2.3. By End User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Medical Scheduling Software Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Product
        • 10.3.1.2.2. By Deployment
        • 10.3.1.2.3. By End User
    • 10.3.2. Colombia Medical Scheduling Software Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Product
        • 10.3.2.2.2. By Deployment
        • 10.3.2.2.3. By End User
    • 10.3.3. Argentina Medical Scheduling Software Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Product
        • 10.3.3.2.2. By Deployment
        • 10.3.3.2.3. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Medical Scheduling Software Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Kareo, Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Oracle Corporation
  • 15.3. NXGN Management, LLC
  • 15.4. American Medical Software
  • 15.5. Callflow Software Ltd.
  • 15.6. Caspio, Inc.
  • 15.7. SuperSaaS
  • 15.8. AdvancedMD, Inc
  • 15.9. TIMIFY
  • 15.10. Sign In Solutions Inc

16. Strategic Recommendations

17. About Us & Disclaimer