Ward risk early warning system and early warning method thereof

Abstract

The invention discloses a ward risk early warning system and an early warning method thereof. The system comprises a hand-held device, a multifunctional ward bed, a nurse station early warning caution management platform, a doctor station early warning caution management platform and a data center platform; the hand-held device is provided with a first communication module, an electronic label card reader, a code scanner, an information input module and a first controller; the multifunctional ward bed comprises a bed body, and an electronic label, a second communication module, a data input port, an infrared sensor and a second controller which are arranged on the bed body; the nurse station early warning caution management platform comprises a third controller, a third communication module and a first information prompting device; the doctor station early warning caution management platform comprises a fourth controller, a fourth communication module and a second information prompting device; and the data center platform comprises a fifth controller, a fifth communication module and a short message sending base station. The system can realize automatic early warning prompting and real-time monitoring of the conditions of patients, and improves the reliability and the safety of medical monitoring.

Description

technical field [0001] The invention relates to medical equipment, in particular to a ward risk early warning system and an early warning method. 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 (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 diffe...

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

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