Zhongzhi Daxin: Bridging Departmental Data Silos with an AI-Powered Perioperative Platform

Traditional hospital surgeries involve coordination across multiple departments. Information silos within hospitals result in complex, time-consuming, and labor-intensive communication processes that are prone to errors, thereby increasing surgical risks. This longstanding issue has posed significant challenges for hospital operating rooms.

In April 2014, Yang Bin founded Beijing Zhongzhi Daxin Technology Co., Ltd. (hereinafter referred to as “Zhongzhi Daxin”) and developed the “Doric® Perioperative AI Physician Assistant Platform” (hereinafter referred to as the “Platform”), providing comprehensive intelligent perioperative healthcare solutions for clinical and operating room medical staff.

The platform is designed to break down information silos between departments, linking preoperative, intraoperative, and postoperative patient data into a complete chain. It streamlines the surgical process—involving multiple stakeholders such as surgeons, anesthesiologists, and nurses—into a cohesive workflow, establishing a patient-centric data hub. Leveraging private cloud technology to connect various terminals, the platform achieves comprehensive coverage of the surgical environment, enabling physicians to track, view, and utilize data anytime and anywhere.

VCBeat (WeChat ID: vcbeat) has learned that since its official launch in April this year, the platform has established collaborations with four hospitals. Its AI-powered anesthesiologist assistant is now capable of managing 97 types of intraoperative manifestations during surgical procedures, and its AI-based physician risk assessment system is slated for imminent release.

The perioperative period encompasses the entire process surrounding surgery, starting from the patient’s decision to undergo surgical treatment, through the procedure itself, and continuing until basic recovery is achieved. It includes three phases: preoperative, intraoperative, and postoperative. Extensive medical practice abroad has demonstrated that the value delivered by comprehensive perioperative care plans far exceeds that of traditional surgical approaches.

The Doric Intelligent Perioperative Physician Assistance Platform enters the market through the perioperative care segment. By leveraging technologies such as data integration, mobile intranets, and private clouds, the platform automatically acquires, parses, aggregates, and stores data from various hospital departments, aiming to bridge the “last mile” in perioperative care.

Doric provides healthcare professionals with a comprehensive perioperative solution encompassing both hardware and software:

Preoperatively, physicians can utilize the AI-assisted diagnostic system on this platform for diagnostic assessment, surgical preparation, and planning, and conduct preoperative consultations with specialists from various departments via the intranet. Additionally, physicians can use the Dorik mobile app to perform preoperative rounds and patient visits, document the visit process, and integrate all patient data; leverage an artificial intelligence engine to automatically generate the most suitable surgical plan and scheduling arrangement for each patient; and employ the 3D modeling application on the Dorik platform for surgical simulation.

During surgery, physicians can access the patient’s surgical plan and collect vital sign data. They can conduct live broadcasting by integrating environmental and patient data, utilize an AI-powered anesthesia assistant for anesthesia support, and employ augmented reality (AR) technology to assist in surgical procedures. Meanwhile, the operating room environment is monitored, controlled, recorded, and archived.

Postoperatively, physicians can conduct a comprehensive review of the surgical procedure to analyze the operative course and accumulate surgical experience. The system enables data collection and integration for ICU patients, allowing on-demand access to vital sign data. By leveraging AI-driven rehabilitation guidance applications, optimal rehabilitation plans are automatically formulated for patients. Furthermore, physicians can perform regular follow-ups, document them via the platform, and provide long-term monitoring and tracking to enhance patient recovery outcomes. Finally, research data mining is conducted using large-scale patient datasets.

Leveraging this platform, Zhongzhi Daxin has developed an AI-powered Anesthesiologist Assistant. Should any abnormalities arise in a patient during surgery, the platform automatically triggers an alarm, identifies the underlying causes, and provides management recommendations based on clinical AI algorithms and historical treatment experience. Currently, the assistant is capable of addressing 97 types of intraoperative patient presentations. Yang Bin stated that the company’s AI-based Physician Risk Assessment System is also poised for launch, as Zhongzhi Daxin continues to expand its platform offerings to further empower healthcare professionals.

To ensure data security, Zhongzhi Daxin provides hospitals with a complete IaaS/PaaS/SaaS cloud infrastructure and services through its intranet cloud service, XaaSCloud. Leveraging Virtual Private Cloud (VPC) technology, XaaSCloud isolates external access and adopts a “SaaS over VPC” model to deliver device management, artificial intelligence, and data application update services. This ensures high-speed circulation of internal hospital data within a dedicated network, providing hospital users with a secure and efficient operating environment.

Zhongzhi Daxin’s core team adopts a “1+3+3” structure. Its founder, Mr. Yang Bin, has 28 years of experience in the healthcare industry. The three core members in the technology domain have extensive expertise in healthcare informatics, artificial intelligence, product design, and operational management. The three core members in the medical domain boast over 30 years of professional experience in specialties such as orthopedics and anesthesiology, and hold positions as doctoral and master’s thesis supervisors.

On October 17, Zhongzhi Daxin secured tens of millions of RMB in Series A financing from the Guoke Jiahe Fund. It is reported that the funds will be primarily used to accelerate product research and development and further expand market reach. Yang Bin stated that Zhongzhi Daxin will continue to focus on general surgery, leveraging tertiary hospitals to promote and apply its platform. To this end, the company will rely on big data and artificial intelligence to continuously develop more intelligent, scenario-based products.

Guoke Jiahe is an equity investment fund manager established by CAS Holdings Co., Ltd. in conjunction with several large domestic enterprise groups. It focuses on investing in high-tech innovative startups and growth-stage companies that possess technological barriers. The funds under its management total tens of billions of RMB, and it has invested in nearly 100 projects across key emerging sectors such as IoT-enabled intelligent manufacturing, big data and artificial intelligence, and healthcare.