On April 24th at 1:00 PM, in Roadshow Area 2 of the main lobby on the first floor of Building A, Zhuhai International Convention and Exhibition Center, YIDU TECH (02158), a leading domestic AI healthcare company, will host its annual product launch event titled "From Data to Decision: AI Reshaping the Future of Hospitals." This time, YIDU TECH is not introducing a single product upgrade or merely optimizing efficiency in one specific area. Instead, it will present a systematic, future-ready solution for hospitals: enabling AI to truly permeate the entire process of diagnosis, treatment, operations, and research, thereby advancing hospitals from "information system construction" to "intelligent operations."
**One Foundation, Three Major Products: Comprehensive Upgrade of Hospital Intelligent Capabilities**
Historically, hospital digitalization efforts have often been fragmented across different systems, scenarios, and departments. Doctors use clinical tools, administrators review operational reports, and research teams process specialized disease data—while all appear to utilize digital products, they lack a truly unified intelligent foundation. The three major new products launched by YIDU TECH are systematically developed based on the same underlying capabilities, applied across various scenarios. Together, they address a key question: how to truly integrate data into decision-making and enable AI to actively participate in hospital operations.
**YIDU SmartLoop Hospital Edition: Proactive Collaboration Throughout the Diagnosis and Treatment Process**
Imagine a scenario: from the moment a patient registers, the AI automatically retrieves historical medical records and creates a preliminary profile. During the consultation, an assisted decision-making agent suggests reference treatment pathways. After prescribing medication, a medication agent automatically checks for contraindications and dosage. Upon discharge, a follow-up agent seamlessly takes over to create a personalized management plan. Multiple intelligent agents work like a well-coordinated team, each performing its role and passing tasks automatically, with every decision traceable and verifiable. At the launch event, the YIDU SmartLoop Hospital Edition will be officially introduced. It is not an isolated "point-based assistance tool" but has evolved into a multi-agent collaborative engine that spans the entire diagnosis and treatment process. It functions like an efficient support team within the hospital, freeing doctors from routine tasks and making healthcare more continuous, proactive, personalized, and reliable.
**YIDU SmartManage: Using AI to Understand Operations and Data to Manage Hospitals Effectively**
In the past, understanding the cause behind a fluctuating metric often required repeated communication between departments, manual investigation, and layered reporting. Now, managers simply need to pose a question, and the built-in "digital employees" within YIDU SmartManage can automatically perform analyses, identify root causes, flag risks, and provide decision recommendations. The new-generation operational data center to be released by YIDU TECH features an intelligent agent hub and multiple "scenario-specific analysis experts," covering key areas such as national assessments, accreditation evaluations, and key specialty development. It understands every operational aspect of the hospital, responding in real-time, issuing proactive warnings, and automatically attributing causes. This empowers managers to shift from "reactive firefighting" to "forward-looking decision-making," advancing management from experience-driven to data- and AI-driven precision control.
**Building High-Quality Datasets Based on Specialized Disease Research Databases: From Data Silos to Research Treasures**
Amid the national policy window aiming to "establish a batch of high-quality datasets and trusted data spaces in the health industry by 2027," YIDU TECH has innovatively developed a paradigm for constructing high-quality disease datasets. This represents an upgrade from clinical research datasets to high-quality disease datasets. The solution uses specialized disease research databases as a foundation, simultaneously leveraging "real-world diagnosis and treatment data" and "authoritative clinical knowledge." Driven by this dual-engine approach, the data undergoes comprehensive refinement throughout the entire process. The resulting high-quality datasets can support both pre-training and post-training of large models, as well as supply "knowledge base ammunition" for clinical and research agents, truly closing the value loop from data to knowledge to intelligence. This transforms hospital data from "dormant silos" into "rich mines" that drive medical innovation.
In the past, the focus of hospital development was on system implementation and process digitization. In the future, competitiveness will stem from the ability to sustain decision-making capabilities, enable intelligent collaboration, and foster continuous data evolution. YIDU TECH is driving this transition with its comprehensive product matrix.