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POMDOCTOR LIMITED Advances Healthcare Data Asset Strategy to Strengthen AI-Powered Chronic Disease Management Capabilities

(Positive)
Tags
AI

Pomdoctor (NASDAQ:POM) outlined its strategy to strengthen its healthcare data ecosystem to support AI-driven chronic disease management and predictive healthcare. The company aggregates real-world data from wearable devices, remote patient monitoring systems, physician interactions, health management activities and payment-related insights into a multidimensional data framework.

According to Pomdoctor, this continuous data feedback loop is intended to enhance AI analytics, health risk assessment and personalized, long-term disease management. Management emphasized that high-quality healthcare data is viewed as a core asset for building a leading AI-enabled predictive healthcare infrastructure and plans to expand ecosystem partnerships and technology capabilities.

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Positive

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Negative

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Market reaction after AI data strategy update: POM +4.86% in the Jul 15 session

+4.86%
3 alerts
+4.86% Session close to close
+2.7% Peak Tracked
-16.0% Trough Tracked
$11.26M Market Cap
0.5x Rel. Volume

In the Jul 15 session, POM gained 4.86%, reflecting a moderate positive market reaction. Argus tracked a peak move of +2.7% during that session. Argus tracked a trough of -16.0% from its starting point during tracking. Our momentum scanner triggered 3 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

Set against earlier AI-related releases that averaged a 8.56% move, a flat reaction would indicate t...
Analysis

Set against earlier AI-related releases that averaged a 8.56% move, a flat reaction would indicate the market already discounted Pomdoctor’s AI data ecosystem plans. With low reported short interest, attention may stay on execution versus the company’s ongoing losses and going-concern risk in filings.

Key Figures

Global RWD market 2026 (Precedence): US$2.15 billion Global RWD market 2035 (Precedence): US$7.11 billion RWD market CAGR (Precedence): 14.23% +3 more
6 metrics
Global RWD market 2026 (Precedence) US$2.15 billion Precedence Research projection for 2026
Global RWD market 2035 (Precedence) US$7.11 billion Precedence Research projection for 2035
RWD market CAGR (Precedence) 14.23% Forecast CAGR from 2026 to 2035
Global RWD market 2026 (Coherent) US$2.73 billion Coherent Market Insights estimate for 2026
Global RWD market 2033 (Coherent) US$7.08 billion Coherent Market Insights estimate for 2033
RWD market CAGR (Coherent) 14.6% Forecast CAGR during 2026–2033

Previous AI Reports

2 past events · Latest: Jul 09 (Positive)
Same Type Pattern 2 events
Date Event Sentiment 24h Move Catalyst
Jul 09 AI strategy update Positive +13.8% Outlined progress on AI-enabled chronic disease management ecosystem and strategy.
Mar 13 AI wearables strategy Positive +3.3% Announced strategic upgrade to focus on AI plus medical-grade smart wearables.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged strategy updates have previously coincided with positive price moves, with an average move of about 8.56%.

Key Terms

real-world data, remote patient monitoring, electronic health records, evidence-based medicine, +1 more
5 terms
real-world data medical
"RWD is emerging as a critical foundation for AI-enabled healthcare innovation."
Real-world data consists of information collected from everyday sources outside of controlled experiments or official reports, such as patient records, insurance claims, or wearable device readings. For investors, it provides a more complete picture of how products and services perform in actual use, helping them make better-informed decisions based on how things work in real life rather than just in theory or controlled settings.
remote patient monitoring medical
"wearable technologies, remote patient monitoring ("RPM") capabilities and physician resources"
Remote patient monitoring is the ongoing collection and transmission of a person’s health data (such as heart rate, blood sugar, or blood pressure) from home or another non-clinical setting to healthcare providers using connected devices and secure networks. For investors, it matters because it can reduce hospital visits, create steady service and device revenue, and change how care is paid for—think of it as a home security system for health that can lower costs and improve outcomes.
electronic health records medical
"Key drivers cited include the increasing adoption of electronic health records"
Electronic health records are digital versions of a patient’s medical history, tests, treatments and prescriptions that healthcare providers create and store electronically instead of on paper. For investors, they matter because they drive recurring software and services revenue, enable new data-based products like remote care and analytics, and carry financial risk from privacy rules, data breaches and the ease of sharing records between systems—factors that affect a healthcare or technology company's value.
evidence-based medicine medical
"growing demand for evidence-based medicine, regulatory support"
Evidence-based medicine is the practice of evaluating medical treatments and products using well-designed scientific studies and data, rather than tradition or intuition. For investors, it matters because treatments supported by solid evidence are more likely to gain regulatory approval, wider medical adoption, reliable pricing and insurance coverage, and lower legal risk — think of it as choosing a product backed by a tested recipe rather than a guess.
internet of things technical
"advancements in wearable and Internet of Things-enabled health devices."
A network of everyday objects—like appliances, machines, vehicles, and sensors—connected to the internet so they can send and receive information and act automatically, like a thermostat that learns your schedule or a factory machine that reports wear. Investors care because these connected devices create new revenue streams, recurring service and data opportunities, and efficiency gains, while also concentrating risks such as security vulnerabilities and ongoing maintenance costs.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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GUANGZHOU, China, July 15, 2026 /PRNewswire/ -- POMDOCTOR LIMITED ("Pomdoctor" or the "Company") (NASDAQ: POM), a digital healthcare company focused on advancing AI-enabled healthcare solutions and predictive healthcare capabilities, today highlighted its ongoing efforts to strengthen its healthcare data ecosystem, by leveraging real-world data ("RWD"), artificial intelligence ("AI"), wearable technologies, remote patient monitoring ("RPM") capabilities and physician resources to enable more personalized, predictive and continuous healthcare management.

As digital transformation accelerates across healthcare systems worldwide, RWD is emerging as a critical foundation for AI-enabled healthcare innovation. Unlike traditional clinical datasets, RWD—generated through daily healthcare interactions, connected devices, patient monitoring and healthcare services—provides broader and richer insights into patient behaviors, disease progression and long-term health management needs. Market projections underscore the growing significance of RWD.

According to Precedence Research, the global RWD market is projected to grow from approximately US$2.15 billion in 2026 to approximately US$7.11 billion by 2035, representing a compound annual growth rate ("CAGR") of 14.23% from 2026 to 2035. The report attributes this growth in part to the increasing adoption of RWD in clinical research and personalized healthcare solutions, alongside the expansion of telehealth services, increased reliance on remote patient data collection, and advancements in wearable and Internet of Things-enabled health devices.

Similarly, Coherent Market Insights estimates that the global RWD market will grow from approximately US$2.73 billion in 2026 to approximately US$7.08 billion by 2033, at a CAGR of 14.6% during the forecast period. Key drivers cited include the increasing adoption of electronic health records, growing demand for evidence-based medicine, regulatory support and continued advances in AI and data analytics. It also notes that demand for personalized medicine and chronic disease management is accelerating the adoption of RWD across healthcare systems.

Building a Healthcare Data Ecosystem to Power AI Capabilities

In response to these industry trends, Pomdoctor continues to develop a comprehensive healthcare data ecosystem designed to support AI-driven chronic disease management and predictive healthcare services.

The Company's data-driven healthcare framework aggregates diverse RWD sources, including data generated from wearable devices, RPM-systems, physician interactions, patient health management activities and healthcare payment-related insights. This multidimensional data ecosystem aims to create a continuous feedback loop that strengthens AI analytics capabilities and supports the development of deeper personalized healthcare solutions.

Pomdoctor believes that high-quality healthcare data is a fundamental asset for the next generation of AI-powered healthcare platforms. As more healthcare interactions occur within the ecosystem, the resulting real-world insights are expected to continuously improve AI models, enhance health risk analysis capabilities and enable more effective long-term chronic disease management.

Management Commentary

Mr. Zhenyang Shi, Chairman and Chief Executive Officer of Pomdoctor, commented: "Data is a foundational asset of the future healthcare ecosystem. As AI reshapes healthcare delivery, the ability to collect, analyze and apply high-quality RWD will be pivotal to enabling predictive and personalized health management.

"At Pomdoctor, we are leveraging the extensive valuable data accumulated over years of operating our internet healthcare platform while continuing to build an integrated healthcare ecosystem that connects AI, wearables, RPM, physician networks and healthcare data assets. We believe this closed-loop ecosystem will continuously strengthen our AI capabilities, generate valuable real-world insights, and underpin sustained innovation.

"Looking ahead, we will advance our healthcare data strategy, expand our ecosystem partnerships, and enhance our technology capabilities as we pursue our vision of building a leading AI-enabled predictive healthcare infrastructure."

About POMDOCTOR LIMITED

POMDOCTOR LIMITED (NASDAQ: POM) is a digital healthcare company focused on advancing AI-enabled healthcare solutions and expanding predictive healthcare capabilities. The Company leverages physician resources, wearable technologies, artificial intelligence, healthcare payment networks and real-world healthcare data to support more personalized, continuous and data-driven healthcare services. Building upon its established healthcare platform and physician network, POM is pursuing the development of a predictive healthcare data and services infrastructure designed to improve healthcare outcomes and create long-term value for patients, healthcare providers and other ecosystem participants. For more information, please visit the Company's website: http://ir.7shiliu.com.

Forward-Looking Statements

Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company's current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Investors can find many (but not all) of these statements by the use of words such as "approximates," "believes," "hopes," "expects," "anticipates," "estimates," "projects," "intends," "plans," "will," "would," "should," "could," "may" or other similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company's filings with the SEC.

For more information, please contact:

POMDOCTOR LIMITED
Investor Relations Department
Email: ir@7lk.com

Ascent Investor Relations LLC
Tina Xiao
Phone: +1-646-932-7242
Email: investors@ascent-ir.com

 

Cision View original content:https://www.prnewswire.com/news-releases/pomdoctor-limited-advances-healthcare-data-asset-strategy-to-strengthen-ai-powered-chronic-disease-management-capabilities-302825801.html

SOURCE POMDOCTOR LIMITED

FAQ

What healthcare data strategy did Pomdoctor (NASDAQ:POM) announce on July 15, 2026?

Pomdoctor announced a strategy to strengthen its healthcare data ecosystem supporting AI-powered chronic disease management. According to Pomdoctor, it is integrating real-world data from wearables, remote patient monitoring, physicians and payment insights to build predictive and personalized healthcare capabilities within a continuous data feedback loop.

How is Pomdoctor (POM) using real-world data to support AI in chronic disease management?

Pomdoctor aggregates real-world data from daily healthcare interactions, connected devices and remote monitoring to feed AI models. According to Pomdoctor, this multidimensional data ecosystem aims to improve health risk analysis, refine predictive algorithms and enable more effective long-term chronic disease management services.

What market growth figures for real-world data did Pomdoctor reference in its July 2026 update?

Pomdoctor cited research projecting the global real-world data market could reach about US$7.11 billion by 2035 from US$2.15 billion in 2026. According to Pomdoctor, separate estimates see growth to roughly US$7.08 billion by 2033, with double-digit compound annual growth rates driven by broader data adoption.

Which technologies are central to Pomdoctor’s AI-enabled healthcare ecosystem for POM shareholders?

Pomdoctor highlights AI, wearable technologies, remote patient monitoring, physician networks and healthcare data assets as core components. According to Pomdoctor, integrating these elements into a closed-loop ecosystem is expected to strengthen AI capabilities and support predictive, personalized healthcare and chronic disease management services.

What role does management see for data in Pomdoctor’s future AI healthcare platform?

Pomdoctor’s CEO describes data as a foundational asset for future healthcare ecosystems. According to Pomdoctor, increasing volumes of high-quality real-world data are expected to continuously improve AI models, generate valuable real-world insights and underpin ongoing innovation in predictive and personalized health management.

Is Pomdoctor planning ecosystem partnerships as part of its AI healthcare data strategy?

Pomdoctor plans to advance its healthcare data strategy by expanding ecosystem partnerships and enhancing technology capabilities. According to Pomdoctor, these collaborations are intended to support its vision of building a leading AI-enabled predictive healthcare infrastructure focused on long-term chronic disease management.