"Health Check Brother" Decides to Go All In as the Greater Health Industry Heads to DingTalk

In a recent internal memo, Yu Rong, Chairman of Meinian Health Group, called on all employees to fully embrace the "ALL IN AI" strategy. He emphasized three key goals: achieving "management transparency" through AI, improving business efficiency, and accelerating the implementation of AI applications to drive overall management effectiveness.

The Greater Healthcare Industry Is Rapidly Entering the AI Era

As a leading company in the greater healthcare sector, Meinian Health Group—home to more than 50,000 employees—has fully embraced AI, demonstrating its unwavering commitment to an AI-driven strategy. This move sends a clear signal to the industry: healthcare companies are shifting from passively adopting technology to proactively leveraging AI to drive digital transformation and business upgrades.

In this context, DingTalk, with its first-mover advantage in AI products and ecosystem development, has become deeply involved. As of July 2025, the "Doukou Gynecology Large Model," developed by Yisheng Jiankang, successfully passed the national senior professional title exam in obstetrics and gynecology, making it the first vertical medical model in China to meet the standards after being trained on DingTalk's enterprise-specific AI platform.

In addition, after integrating DingTalk AI Tables and automated workflows, Dian Diagnostics reduced the time required to generate VOC reports from two weeks to just three days, while cutting business intelligence costs by more than 200,000 yuan. Leading companies such as Yunnan Baiyao, Innovent Biologics, and Xianle Health are also leveraging DingTalk AI to explore intelligent work models and build organizational competitiveness in the AI era.

Meinian Health: Rebuilding Management with AI

Meinian Health Group has long collaborated with DingTalk, and since March 2025, it has further integrated DingTalk AI features across all business units, significantly enhancing collaboration efficiency and operational intelligence.

Take the Medical Management Center as an example. Faced with the challenge of standardizing operations across nearly 600 branches—especially issues like non-standardized meeting processes and fragmented records—Meinian Health launched a customized AI assistant called "Mei Xiao Hui." By combining DingTalk AI Voice-to-Text and AI Tables, Mei Xiao Hui enables end-to-end intelligent management of meetings.

AI Voice-to-Text automatically generates standardized minutes, while the AI assistant evaluates and analyzes meeting content based on headquarters' guidelines. The results are synchronized to an AI Table, creating a traceable ledger that establishes a sustainable management loop for continuous improvement.

Meinian Health Group's "Mei Xiao Hui"

Nursing Management Moves Toward Real-Time and Compliance

In the past, manual logs from 500 head nurses were collected quarterly, resulting in delayed information and cumbersome review processes. Today, with the help of DingTalk AI Tables, all logs have been consolidated into a single, dynamically updated smart table.

Head nurses can now fill out work plans and execution status in real time, allowing headquarters to monitor activities instantly and respond quickly. This dramatically improves management compliance and efficiency while reducing the workload of the chief nurse.

AI Table application scenario diagram

DingTalk AI empowers the chief nurse's work log scenario diagram

From meeting management to nursing records, a wide range of administrative tasks are now handled by AI, freeing up professionals to focus on core medical value creation. Doctors, nurses, and managers can concentrate more on services that require expert judgment and humanistic care.

AI Powers Risk Alerts and Efficient Approvals

Xiong Jin'an, General Manager of Human Resources at Meinian Health, shared a case where an AI assistant detected an anomaly in a doctor's cross-level submission during routine approvals, promptly raising an alert and helping avoid potential risks. The AI not only identifies urgent matters but also provides approval recommendations, ensuring the group operates efficiently and in compliance.

As AI becomes more deeply embedded, Meinian Health is extending its AI integration from internal management to external services, aiming to create a more precise, efficient, and personalized end-to-end health management experience.

DingTalk AI Becomes the Core Engine of Digital Transformation in Greater Healthcare

The entire greater healthcare industry is currently undergoing a digital transformation. As the choice of more than 60% of China's top 100 pharmaceutical companies and over half of public hospitals, DingTalk has emerged as a critical infrastructure for enterprises entering the AI era.

In pharmaceutical R&D, AI shortens new drug development cycles; in the medical device sector, AI enhances diagnostic accuracy; and in manufacturing companies, AI drives comprehensive improvements in cost, quality, and compliance.

Dian Diagnostics has built a VOC intelligent closed-loop system using DingTalk AI, replacing 80% of manual operations, increasing efficiency by 92%, and reducing cross-departmental collaboration time by 83%.

Xianle Health uses "AI Tables + Automated Push Notifications" to achieve "zero manual intervention, one-click data generation, and real-time synchronization" for production data, doubling collaboration efficiency.

Yunnan Baiyao has built the "Baiyao Ding" platform on DingTalk, launching a "Production Knowledge AI Assistant" and a "Toothpaste AI Expert." Innovent Biologics has integrated DeepSeek into DingTalk to create a service-oriented knowledge base, boosting R&D collaboration efficiency.

An increasing number of biopharmaceutical companies, including Redline and Yaron Pharmaceuticals, are using DingTalk AI to achieve end-to-end intelligent upgrades—from R&D and production to market access.

AI Is Not an Option—It’s a Must

"AI is no longer optional—it's a necessity for survival," said Xiong Jin'an, General Manager of Human Resources at Meinian Health. "We must embrace it, or we will be left behind."

This is not just a warning—it's a reality. AI is reshaping the industry landscape, and missing the boat means losing influence in the future greater healthcare industry. In an environment of intensifying competition and tightening capital, AI has become a crucial tool for breaking bottlenecks and finding new growth trajectories.

The industry trend is clear: the shift from "passive digitalization" to "proactive AI-driven" transformation represents a move from tool utilization to value reconstruction.

Although still in the early stages, a consensus has emerged. Meinian Health is driving employees from "not knowing how to use AI" to "using it well" through company-wide adoption of DingTalk, cloud-based document management, and regular training sessions.

DingTalk itself is continuously evolving. At its 10th-anniversary launch event, DingTalk CEO Wu Zhao announced, "DingTalk 8.0 is AI DingTalk 1.0. We will approach the AI era with a 'zero-based' mindset and build a brand-new DingTalk for the AI age."

In an industry known for its conservatism, more and more greater healthcare companies are seizing the opportunity and racing ahead on the front lines of AI-driven transformation—with DingTalk by their side.

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