
Developer of Digital Healthcare Products
At the GTC conference in March, Jensen Huang elaborated on the distribution of the AI industry ecosystem using his “five-layer cake” theory. Ideally,Energy, Chips, Computing Power Infrastructure, Foundational Models, Intelligent ApplicationsFive layers progress step by step and support each other, jointly promoting the circulation and iteration of artificial intelligence.
However, in reality, while companies in the energy and chip sectors have clear divisions of labor, operate efficiently, and possess mature business models, the roles in AI development become increasingly blurred when entering the computing power infrastructure layer.
For instance, intelligent application development companies with expertise in vertical domains should adopt an optimal strategy of going all-in on agent training, transforming their accumulated high-value knowledge into intelligent applications. However, due to the lack of effective computing power and underlying model solutions, they are forced to expend significant effort and time on configuring AI environments and debugging underlying models.
In response to the aforementioned challenges, Tencent Healthcare was officially launched at the Smart Healthcare Special Session of the 2026 Tencent Cloud City Summit · Shanghai StopTencent Healthcare Open Platform, or may provide effective solutions for hospitals and developers across numerous medical fields.
The Tencent Healthcare Open Platform notes that "openness" carries a dual meaning. On one hand, Tencent Healthcare will make six AI capabilities available to hospitals and enterprises: intelligent triage, intelligent Q&A, intelligent pre-consultation, report interpretation, medication planning, and patient recall.Empower hospitals to rapidly achieve a comprehensive, end-to-end smart transformation, enabling them to focus on operational optimization and the enhancement of clinical service quality.。
On the other hand, Tencent Healthcare will open its platform's AI capabilities to enterprises.Enabling enterprises to focus on building medical AI agents, saving development time and costs for exploring new capabilities。
Let us first discuss the value of six AI capabilities. While features such as intelligent triage and intelligent Q&A may seem like clichés, the upgraded capabilities of Tencent’s models have endowed hospitals with a completely new AI experience.
withIntelligent Pre-ConsultationFor example, the vast majority of existing intelligent pre-consultation systems on the market support a limited range of medical specialties, exhibit low recognition accuracy for certain diseases, and are prone to overlooking key specific symptoms, thereby misleading information collection.
In contrast, Tencent’s open platform supports intelligent adaptation for over 100 clinical departments, eliminating the need for department-specific configurations. It can autonomously identify and complete key consultation information, generate standardized pre-consultation reports, and seamlessly sync these reports to Hospital Information Systems (HIS), significantly reducing physicians’ operational time.
Post-Consultation ServicesThe module has added capabilities for interpreting medication indicators and planning follow-up visits, aimed at enhancing refined post-discharge patient follow-up and patient recall management, thereby directly impacting hospital operational efficiency.
The inclusion of medication guideline interpretation is fundamentally aimed at enhancing user experience and establishing an out-of-hospital connection between hospitals and patients. By leveraging AI to translate professional clinical instructions into easy-to-understand, everyday language and delivering targeted push notifications, Tencent Healthcare can effectively address the pain points of patients failing to clearly hear instructions during hospital visits and forgetting them at home.
In terms of follow-up visit management, traditional post-discharge services have mostly been limited to follow-ups for critically ill patients. As a result, a large number of both mild and severe cases experience a breakdown in service continuity after discharge. This not only hinders hospitals’ ability to continuously monitor patients’ recovery status and changes in clinical indicators, but also constrains the hospital’s capacity for refined patient operations and the unlocking of value from its existing user base.
With the advent of intelligent follow-up planning systems, hospitals can now apply them to common chronic disease scenarios, such as hyperlipidemia. Taking hyperlipidemia as an example, AI can intelligently engage patients at preset intervals (e.g., quarterly) to inquire about their recovery status, remind them to undergo timely re-examinations of key indicators such as blood lipids and liver function, and monitor disease improvement and medication safety. This approach efficiently enables precise patient recall and comprehensive, full-cycle chronic disease health management.
It should be noted that the series of capabilities launched by Tencent Healthcare this timeCustom-built by leveraging the features of the WeChat ecosystem, can be deeply integrated with core platforms such as official accounts, mini-programs, and message notifications, enablingIntelligent services enable seamless transitions from consultation to follow-up without altering user habits.。
In the past, patients had to switch back and forth among numerous apps and service accounts during medical visits, spending considerable time locating the functions they needed. Today, WeChat can integrate these functionalities, significantly reducing the frequency of system operations required by patients while enabling them to receive proactive AI-driven services throughout the entire care journey.
Under the new ecosystem support, Tencent Healthcare has truly advancedThe Healthcare Model Shifts from “Patients Seeking Services” to “Services Seeking Patients”。
If the first layer of “openness” by Tencent Healthcare aims to propose practical solutions based on specific scenarios and address hospitals’ pain points, then the second layer of “openness” takes a systemic approach to comprehensively drive the intelligent transformation of the healthcare industry.
As mentioned above, simultaneous investments across multiple layers—including computing infrastructure, foundational models, and intelligent applications—make it difficult for enterprises to focus solely on AI development. This is particularly challenging for smaller startups, which struggle to sustain the high development costs over the long term.
Tencent Healthcare is now opening its AI capabilities to partners across the entire industry, significantly lowering the barriers to entry and development costs for enterprises. Taking the six newly released capabilities as an example, a single module can be deployed in as little as one to two days, while full-suite implementation requires only one to two weeks, without the need for substantial investment in development or system overhaul.
Enterprises can also leverage the capabilities of the Tencent Healthcare Open Platform to develop new AI agents. According to Chen Rui, Chief Architect and Head of Regional Ecosystem Architecture at Tencent Healthcare, Tencent Healthcare has listed full-process AI capability plugins and standardized Skills packages by integrating with Tencent Cloud’s Agent Development Platform (ADP). Developers can flexibly invoke these plugins and standardized Skills as needed, independently orchestrate business workflows, and build exclusive, personalized service systems to efficiently meet the deployment needs of diverse scenarios.
Leveraging these capabilities, a 20-member R&D team recently completed the development of a medical AI agent demo in just 20 minutes using CodeBuddy. This achievement represents at least a tenfold increase in development efficiency and eliminates the substantial costs associated with preliminary project infrastructure setup and environment deployment.
While ensuring efficient access, Tencent Healthcare also regards security as the baseline of its open ecosystem. Currently, the use of all AI capabilities on the platform requires explicit user authorization and informed consent. Hospitals can enable services as needed, flexibly configuring service scenarios and data permissions, with Independent Software Vendors (ISVs) assisting in implementation within the scope of authorization.
Meanwhile, the Tencent Healthcare Open Platform has also obtained Level 3 Classified Protection Certification from the Ministry of Public Security. It strictly adheres to the requirements of the Personal Information Protection Law and the Data Security Law, implementing mechanisms such as minimal necessary data collection, end-to-end encryption, de-identification of identity information, and operational log auditing to ensure that services remain trustworthy and controllable throughout the entire process.
In an era of unchecked AI expansion, Tencent Healthcare’s “connector” mindset is a rare and valuable asset.
While leading enterprises across various industries are leveraging their scale to build high barriers in algorithms, models, and data, Tencent Healthcare has chosen to construct an open ecosystem, sharing its platform with enterprises and empowering every developer to transform knowledge into models.
The depth and breadth of the healthcare industry far exceed what any single enterprise can cover; we clearly need more such ecosystems to co-create a new future for smart healthcare.