Intensive care unit early-warning system and early-warning method

Abstract

The invention discloses an intensive care unit early-warning system and an intensive care unit early-warning method. The intensive care unit early-warning system comprises a multifunctional sickbed, a nurse early-warning platform, a doctor early-warning platform and a data center platform, wherein the multifunctional sickbed comprises a bed body, and an electronic tag, a second communication module, a data input port, an auxiliary detector and a second controller which are arranged on the bed body; the nurse early-warning platform comprises a third controller, a third communication module and a first information prompter; the doctor early-warning platform comprises a fourth controller, a fourth communication module and a second information prompter; and the data center platform comprises a first controller, a first communication module and an SMS sending base station. The intensive care unit early-warning system achieves the effects of being able to send out early-warning prompt automatically, monitor patient situation in real time, and improve reliability and safety of medical monitoring.

Description

technical field [0001] The invention relates to medical equipment, in particular to an early warning system and an early warning method for an intensive care unit. Background technique [0002] The timely and accurate judgment of the medical staff on the patient's condition plays a vital role in whether the patient can receive timely and effective treatment and whether the patient's life can be saved. The Modified Early Warning Score (hereinafter referred to as: MEWS) system can conveniently and effectively judge the patient's condition, and timely and accurately judge the patient's condition. The MEWS score mainly assigns corresponding scores to five commonly used physiological indicators of body temperature, systolic blood pressure, heart rate, respiratory rate, and level of consciousness, and determines different levels of medical treatment intervention principles based on different scores. At present, in the wards of hospitals, medical staff will score different patient...

AI Technical Summary

Problems solved by technology

However, due to the limited number of medical staff and the large number of patients, in the daily monitoring process, it is easy to miss the situation and cause medical accidents; Next, the family members who need to accompany the bed notify the nurse station in time, and then the nurse station notifies the doctor on duty, which takes a long time and easily delays the treatment

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