Optimize infusion process, emphasize medical quality and safety
If the bottle is not changed or the needle is not removed in a timely manner after the infusion ends, blood return is prone to occur, and the patient may be unnecessarily harmed.
If the infusion dripping is too fast, too slow or even abnormally stopped, the computer terminal and mobile terminal will issue alarms to remind the nurses.
Know in advance, make overall arrangements, make intelligence more efficient
The system can remotely control the infusion conditions of all patients, facilitate nurses to arrange the work priority scientifically based on monitoring information and professional judgment, reduce frequent and inefficient movements, and improve nurses' work efficiency.
Focus on every drip. All for precision
Wireless charging. Plug and play. Complete calibration automatically during charging.
Accurate to the weight of a tear
Light and flexible
Low power consumption, more energy-efficient
Intelligent power management
More power-saving equipment
Intelligent adaptation, automatic filtering
Bad data such as shaking
Originated from innovative technology, perfectly integrated with the smart network
Statistical analysis of infusion big data can better support the arrangements of clinical work, upgrade the quality of medical services, and integrate relevant data such as infusion, drug usage, and early warnings. A new intelligent early warning mechanism is established together with bedside vital sign monitoring equipment.
Take Blue Bridge as the core, and build hospital bluetooth IoT. Blue Bridge can connect many Bluetooth devices and use wireless network technology to realize the interconnection of people, things, information and data.
The product images, videos, and on-screen content on this page are for reference only. The actual product (including but not limited to its appearance, color, and dimensions) and the on-screen display content (including but not limited to backgrounds, UI, illustrations, and videos) may have slight variations. Please refer to the physical product.
The data presented on this page are theoretical values obtained under specific testing environments in Lachesis's internal laboratories (please refer to individual descriptions for details). Actual performance may vary due to individual product differences, software versions, usage conditions, and environmental factors. Please refer to the actual usage scenario.
Due to real-time changes in production batches and supply factors, Landseed may adjust and revise the textual descriptions, images, and other content on this page in a timely manner to ensure alignment with the actual product performance, specifications, and other information.
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