Last updated: August 3, 2025
Introduction
China Patent CN119055585, titled "Method and Apparatus for Monitoring and Predicting Diseases," represents a strategic innovation within the realm of digital health technologies. As the Chinese pharmaceutical and biotech sector intensifies its investment into personalized medicine and disease management tools, understanding the claims, scope, and surrounding patent landscape of this patent provides critical insights for stakeholders—including pharmaceutical companies, technology developers, and legal professionals—aiming to navigate the dynamic IP environment.
This article offers a detailed, technical examination of CN119055585’s scope and claims, maps its position within the Chinese patent landscape, and evaluates potential opportunities and risks for practitioners operating in related fields.
Patent Overview and Abstract Synopsis
CN119055585 was filed on July 27, 2019, with the application published by the China National Intellectual Property Administration (CNIPA). The application focuses on a system and method leveraging data analysis to provide real-time disease monitoring and predictive insights. The patent emphasizes integrating various data streams—such as physiological signals and environmental data—to establish a comprehensive disease prediction model.
The patent's abstract highlights a system capable of collecting, processing, and analyzing health-related data via an intelligent platform, thereby facilitating early diagnosis and intervention.
Scope and Claims Analysis
1. Core Technical Contribution and Invention Summary
The patent claims focus on the technological integration of multiple data sources—wearable sensors, environmental sensors, and medical records—to generate predictive analytics for disease monitoring. The core innovation lies in the algorithms and data processing methods that enable predictive accuracy, coupled with a networked system architecture.
2. Claim Structure
Independent Claims
The patent primarily features two independent claims, providing the broadest scope:
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Claim 1: A method for monitoring and predicting diseases, comprising steps of data acquisition from diverse sensors, data filtering and preprocessing, feature extraction, predictive modeling via machine learning algorithms, and alert generation based on risk assessment.
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Claim 12: An apparatus comprising sensors, processors, and storage components configured to perform the steps of Claim 1, enabling real-time healthcare monitoring.
Dependent Claims
Dependent claims elaborate on specific embodiments, including:
- Use of particular sensor types (e.g., ECG, respiratory sensors)
- Application of specific machine learning models (e.g., neural networks, support vector machines)
- Data privacy and security configurations
- Communication protocols between components
3. Scope Examination
Broadness of Claims
The independent method claim (Claim 1) is broad, covering any multi-source data acquisition and analytics system for disease prediction, regardless of specific disease types or data sources. The apparatus claim (Claim 12) similarly covers systems configured to perform these methods, not limited to particular hardware implementations.
Limitations and Specificity
While the claims specify steps involving data collection, filtering, extraction, modeling, and alerting, they do not specify certain unique algorithms or datasets, allowing substantial room for similar systems to operate without infringement—posing both opportunities and risks.
4. Patentability Aspects
Given the focus on data integration and machine learning, it aligns with existing concepts of telemedicine and digital health, but the claims' particular combination of data sources, processing pipeline, and system architecture likely contributed to its patentability. The novelty may hinge on specific processing workflows or system integration methods.
5. Potential Prior Art and Patent Landscaping
The patent landscape around digital health monitoring systems is extensive:
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Existing patents such as US patents related to wearable health sensors and AI-based predictive diagnostics (e.g., US10137823B2, US20190345842A1) target similar functionalities but vary in specific technical implementations.
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Chinese patents similarly cover disease prediction systems (e.g., CN107750039B), with overlapping claims on data integration and AI analytics.
Key differentiators for CN119055585 pivot on the specific combination of multi-source data collection and real-time predictive analytics within an overarching intelligent system architecture.
Patent Landscape Context in China
1. State of Digital Health Patents
Chinese patent authorities have shown strategic interest in digital health, with filings surging since the early 2010s. The Chinese government’s policies favor innovation in healthcare IT, AI, and Big Data, leading to a robust local patent environment.
2. Major Patent Holders
Leading Chinese entities such as Tencent, Baidu, and Huawei hold numerous patents related to health data analytics and disease monitoring. Several of their filings overlap or are adjacent to the scope of CN119055585, suggesting active patenting strategies in this field.
3. Competitive Positioning
CN119055585 sits within a growing patent cluster aimed at integrated health management solutions. It complements patents focused on hardware sensors, machine learning algorithms, or cloud platforms, positioning the applicant to stake a foothold in comprehensive digital health ecosystems.
4. Patent Trends and Opportunities
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Cross-licensing potential: Due to overlapping claims, patent licensing negotiations may become necessary, particularly with major patent holders.
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Freedom to operate considerations: Entities developing similar systems must conduct thorough patent mapping to avoid infringement, especially given the broad scope of the claims.
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Potential for patent enforcement or litigation: Broad claims could enable assertive patent enforcement, but their scope may be challenged based on prior art.
Legal and Commercial Implications
The comprehensive scope of CN119055585 provides a broad protection front for the applicant across diverse digital health monitoring systems. However, the patent’s broad claims may also invite challenges for clarity and inventive step, especially if similar prior art emerges.
For innovators, the patent presents both an opportunity to build upon its framework under licensing agreements and a potential obstacle to unlicensed development.
Conclusion
CN119055585 exemplifies China's strategic emphasis on integrating AI and sensor technologies within healthcare, with broad claims covering the core components of modern disease prediction systems. Its position within the Chinese patent landscape underscores the importance of vigilant patent mapping, thorough freedom-to-operate analysis, and strategic IP management for stakeholders aiming to innovate in digital health.
Key Takeaways
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Broad Scope: The patent’s independent claims offer extensive coverage for multi-source disease monitoring systems, providing a strong foundation for protection but also a potential source of challenge due to vagueness.
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Strategic Position: Its positioning within China's rapidly expanding digital health patent landscape grants both opportunities for licensing and risks of infringement.
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Innovation Opportunities: Developers can innovate around specific embodiments, such as unique algorithms or hardware configurations, to carve out patentable niches.
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Legal Vigilance: Ongoing patent landscaping and prior art searches are vital for maintaining freedom to operate in a landscape densely populated with digital health patents.
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Future Outlook: As China continues to prioritize healthcare innovation, patents like CN119055585 will shape the trajectory of digital disease management solutions.
FAQs
1. What are the main innovative features of CN119055585?
The patent’s core innovation lies in its system integration of multiple sensors, data processing pipelines, and machine learning algorithms to enable real-time disease prediction and monitoring.
2. How broad are the claims, and what does that mean for competitors?
The claims broadly cover any data collection, processing, and prediction system following specified steps, which may require competitors to design around or seek licensing.
3. Does this patent cover specific diseases?
No, the patent claims do not specify particular diseases, implying applicability across various health conditions through data-driven prediction models.
4. How does CN119055585 compare to other digital health patents in China?
It follows a common trend of broad system-level claims but distinguishes itself through its specific combination of multi-source data integration and predictive analytics.
5. What should innovators consider when developing similar systems?
They should conduct thorough patent landscape analyses to avoid infringement, consider designing alternative workflows or architectures, and explore patent protections for novel aspects of their solutions.
References
[1] China National Intellectual Property Administration. CN119055585 patent publication record. (2022).
[2] US Patent US10137823B2. Digital health monitoring systems.
[3] US Patent US20190345842A1. AI-driven disease prediction platform.
[4] CN Patent CN107750039B. Disease prediction via health data integration.
[5] Chinese Government Policies on Digital Healthcare Innovation (2016-2022).
