CN
Shenzhen Fourth People's Hospital: Building a Full-Scenario Smart Hospital to Bear the Weight of Life
Date:2025/12/17

Shenzhen Fourth People's Hospital (Sami Medical Center) and Lachesis have signed a strategic cooperation agreement. Leveraging their respective resources and expertise in specialized fields, and driven by new quality productive forces, both parties will deeply integrate emerging technologies such as big data, 5G, AI, and the Internet of Things (IoT) with clinical scenarios. This collaboration aims to establish a high-level medical service hub in eastern Shenzhen and provide a new paradigm for building advanced smart hospitals in the Greater Bay Area and across the nation.



Supported by the Medical Internet of Things (IoT), the hospital addresses four key aspects—healthcare providers, patients, and management—to build a fully functional, information-sharing, business-cooperative, secure, reliable, and standardized ward operation system. This system enables real-time information interaction, monitoring, autonomous analysis, intelligent early warning, and intervention, ensuring medical safety, improving healthcare quality, and enhancing clinical service capabilities.



Through process optimization and technological upgrades, it provides effective tools for intelligent clinical diagnosis and nursing, smart medical services, and ward quality control. It achieves intelligent real-time interaction among staff and patients, smart collection of patient vital signs with early condition warnings, mobile ward rounds, mobile billing, remote consultations, full closed-loop intelligent infusion management, and intelligent emergency response. This builds a smart ward that covers all scenarios and the entire process, fully integrating the business needs of clinician-nurse collaboration.



The Smart Ward Interaction Platform connects various ward scenarios and integrates disparate data, creating a central data hub for ward interconnectivity. It provides clear visibility into nursing information and treatment schedules, enabling digital and visual management of hospital wards. Medical risk prevention and intelligent risk warning shift the focus from post-incident handling to preemptive prevention and real-time intervention, reducing the incidence of patient accidents.



When patients need assistance, they can use the bedside smart call button. Nurses can receive call notifications anytime, anywhere, and respond promptly to patient needs. Patients can also view test and examination reports in real-time at their bedside, check billing statements, order meals, etc., experiencing convenience and thoughtful care.


During hospitalization, patients wear a unique identification code. Medical-grade smart devices continuously monitor various patient indicators. Real-time AI data analysis, based on a clinical knowledge base, provides healthcare staff with tiered early warnings, enabling earlier intervention to reduce the risk of patient deterioration.



Based on different clinical scenarios, medical staff can complete ward rounds, information queries, and data entry right at the patient's bedside. This significantly reduces trips between patient rooms and the nurse station/office, greatly improving work efficiency. It returns time to healthcare providers, allowing them to deliver smart services like diagnosis, remote consultations, rounds, nursing, education, and billing directly at the bedside.



During infusion, nurses can remotely monitor the status throughout the ward. Ultra-micro gravity sensors track remaining fluid volume, time, and drip rate in real-time. The system provides timely alarms for abnormalities and reminders for near-completion, enabling nurses to proactively change bottles or remove needles, giving both patients and their families greater peace of mind.




In sudden emergencies, a closed-loop patient急救 process covers key steps like triage and post-resuscitation observation, enabling seamless connection with inpatient wards. The intelligent rescue system makes clinical抢救 efficient and orderly, automatically recording the entire process.


After resuscitation, the system enables rapid inventory counting, improving nurse efficiency and the management quality of emergency carts. Managers can also comprehensively oversee all smart emergency carts in the hospital remotely, conducting quality control on quantity, management quality, and usage status, thereby aiding the construction of an intelligent three-tier emergency care system.



Covering multiple hospital pharmacy scenarios including specialist outpatient, inpatient, and ward pharmacies, it leverages information technologies like big data, cloud computing, and IoT to utilize various data resources for action. It enables traceable and refined management of processes like drug requisition, transfer, storage, dispensing, verification, distribution, and use. This ensures drugs are traceable from source to destination with accountable responsibility, meets regulatory requirements, guarantees medication supply and use safety, improves quality and efficiency, reduces operational costs, and supports hospital lean management.


In specialist outpatient visits, long waiting times for medication pickup are a key issue affecting patient experience. The smart pharmacy in the hospital's Respiratory Medicine department will allow patients to self-pick up medications by scanning their prescriptions. It enables automatic dispensing, intelligent verification, and rapid distribution of boxed, injectable, and tablet medications. The smart pharmacy equipment complies with GSP management standards, features real-time temperature and humidity monitoring, and meets specific storage requirements for common Respiratory Medicine drugs like asthma inhalers and COPD medications. Voice guidance and announcements assist throughout the pickup process, and medication instruction sheets are automatically generated upon completion to ensure safe and rational drug use. This will enhance hospital pharmacy management and service levels, further improving patient pickup experience and overall satisfaction.


Deployed in the inpatient pharmacy enable full-cycle drug management. Different storage areas and management modes are set based on drug categories like regular stock medications and narcotics/psychotropics. Management is per unit, dispensing strictly follows prescription orders using the FIFO (First-In, First-Out) principle by batch number, near-expiry items are prioritized, and expired drugs are locked. Unified remote monitoring and management achieve intelligent and informational management of the drug circulation process within the hospital.



Building a distributed ward pharmacy enables full-process monitoring from order entry, medication preparation, and administration to completion, forming a complete intelligent closed-loop management system for inpatient medication. This significantly enhances medication safety and administration efficiency. Using the ward smart pharmacy, nurses can retrieve medications according to orders with precise control over expiration dates and batch numbers, ensuring medication use safety. Automatic inventory counting and intelligent restocking plan recommendations reduce the workload for pharmacists and nurses.



With surgical procedures as the core and aiming to increase operational efficiency, it spans the entire perioperative process. It provides comprehensive control over operating room conduct standards, precise medication administration, and intelligent inventory of instruments and consumables. This improves the refined management level of narcotics and psychotropics in the OR, achieving an intelligent advancement in overall operating room safety management.


Centered around the clinical workflow of the perioperative period, an intelligent surgical planning platform is built to standardize perioperative medical practices, ensure surgical safety, reduce surgical risks, and promote the standardization of surgical procedures by enhancing visualization and operational precision, ultimately delivering better clinical outcomes for patients.


Based on Medical IoT technology and employing multi-dimensional intelligent enhancement and data-driven strategies, it builds a closed-loop for refined management of operating room supplies. This elevates drug management safety and patient medication safety levels. In accordance with national legal requirements for the "Five Specials" management of narcotics, all supply usage records, red prescriptions, and reports are intelligently and automatically generated. This ensures the safe retrieval and use of surgical supplies, their ready availability during procedures, and enables full-process, fully dynamic, informational closed-loop traceability and management for medications.


Adhering to its positioning as a "comprehensive hospital with strong specialties," Shenzhen Fourth People's Hospital (Sami Medical Center) is committed to the focused development of its neurosurgery specialty. It has established a nationally leading neurosurgical ICU and a dedicated neurosurgical hybrid operating room, including intraoperative MRI and intraoperative DSA, with hardware facilities reaching top domestic standards.




Driven by innovation to advance precision diagnosis and treatment further, an intelligent surgical planning platform has been established. The platform incorporates multiple imaging processing systems such as cranial medical imaging, spinal medical imaging, and pulmonary medical imaging systems. Utilizing technologies like multi-modal image fusion, 3D reconstruction and visualization, precise surgical planning and simulation, AR, and VR, it enhances surgical accuracy and safety while improving doctor-patient communication and educational outcomes.


Through this strategic cooperation, both parties will leverage their respective strengths and integrate existing resources to jointly explore "Smart Hospital" development projects. They will combine efforts to strengthen resource, talent, and equipment support, deepen collaboration on cutting-edge core technologies, fully implement national policy requirements for smart hospital construction, and empower all scenarios. Focusing on the hospital's pain points and challenges, they will jointly carry out smart healthcare projects to create an innovative smart hospital model encompassing, but not limited to, smart wards, smart pharmacies, smart operating rooms, smart consultation rooms, smart community health, and other multi-scenario applications.


Both parties will also deepen industry-academia-research-medicine collaboration and enhance medical-education coordination. Centered on clinical needs, they aim to genuinely form a closed-loop for interdisciplinary collaborative innovation spanning clinical technology innovation, product R&D, clinical evaluation, demonstration teaching, feedback improvement, and application promotion. This will translate clinical innovation concepts into practical bedside solutions, truly building a research-oriented smart hospital that solves real clinical problems and meets the practical needs of both clinical practice and the public.