The AI In Patient Management Market is being driven by Imperative for operational efficiency and cost containment
The AI In Patient Management Market is expected to grow at a CAGR of 21.4% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 6135.9 million. The global AI in patient management market is experiencing a pivotal shift with the increasing adoption of generative AI technology. This advanced form of artificial intelligence goes beyond predictive analytics, enabling systems to understand, summarize, and generate human-like text and dialogue. Generative AI is revolutionizing ambient clinical intelligence, streamlining clinical workflows by automating the creation of structured clinical notes, orders, and summaries in electronic health records (EHRs). By intelligently interpreting natural conversations between patients and healthcare providers, these solutions alleviate the burdensome administrative tasks faced by clinicians, ultimately improving overall patient care and efficiency.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
243 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 21.4% |
Market growth 2025-2029 |
USD 6135.9 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
20.5 |
Key countries |
US, Germany, UK, China, Canada, South Korea, France, Brazil, Japan, and India |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in Patient Management Market leverages advanced technologies such as deep learning models, convolutional neural networks, and recurrent neural networks for accurate diagnosis and personalized care. It incorporates support vector machines and ensemble learning methods for data analysis, along with data visualization dashboards and predictive analytics for insights. Decision support tools, patient engagement strategies, and symptom monitoring are key features, along with vital sign tracking, medication management, and appointment scheduling. Health education resources, clinical workflow optimization, operational efficiency improvements, and staff workload reduction enhance patient care. Safety protocols, data governance frameworks, model validation, and algorithm performance evaluation ensure reliability and ethics. Privacy protection, system scalability, data integration challenges, interoperability standards, cloud computing infrastructure, and cybersecurity protocols address technical considerations.
The AI in Patient Management Market is a segment of the global application software industry, focusing on the development and implementation of advanced technologies such as machine learning algorithms, predictive modeling techniques, natural language processing, and remote patient monitoring. These technologies enable healthcare providers to deliver more efficient, accurate, and personalized care. Technavio's market analysis calculates the market size based on the revenue generated by companies offering specialized software solutions for patient management, excluding those producing database management software or interactive home entertainment applications.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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