System and method for health monitoring during emergency patient diagnosis
A health monitoring system and patient technology, applied in the field of intelligent medical treatment, can solve the problems of delaying the patient's condition and missing the opportunity of emergency treatment, etc., and achieve the effect of accurate triage and classification, avoiding disease delay and diagnosis error, and good diagnosis and treatment
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Embodiment 1
[0030] The invention provides a health monitoring system for emergency patients, such as figure 1 shown. The health monitoring system for emergency patients in the present invention includes a wearable device 1 , a cloud server 2 and several terminal devices 60 . The wearable device 1, the cloud server 2 and several terminals are connected and transmit data with each other through wired or wireless means. Wherein, the wearable device 1 includes an information collection module 10 and a rating evaluation module 20 that are data-connected to each other. The cloud server 2 includes a hierarchical calibration module 30 , an early warning evaluation module 40 and a sample library 50 for data transmission and connection with each other. The several terminal devices are several terminal devices installed in the nurse's or doctor's office. The terminal device 60 includes a mobile terminal and a non-mobile terminal. Mobile terminals include mobile devices such as mobile phones, sma...
Embodiment 2
[0091] This embodiment is a further supplement to Embodiment 1, and repeated content will not be repeated.
[0092] The present embodiment provides a method of health monitoring during emergency patient diagnosis, the steps of the method comprising:
[0093] S1: Collect at least one physiological information data of the patient in a contact manner and associate it with the patient's QR code information;
[0094] S2: In the case that at least one of the physiological information data is abnormal, assess the first risk level of the patient based on the abnormal physiological data change curve and the associated level list collected within the preset time interval;
[0095] S3: Based on the risk level and / or symptom characteristics, select at least one terminal device associated with the emergency department as an alternative early warning terminal and evaluate the priority order of the early warning, and trigger the early warning condition when the abnormal physiological data ch...
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