System and method for intelligent management of clinical patients

Abstract

The invention discloses a system and a method for intelligent management of clinical patients. The system comprises a thin-film pressure sensor, a data processing device and a remote controller, wherein the remote controller comprises a big data analyzing and processing platform and a comparison module, the output and data of the thin-film pressure sensor is electrically connected with the input end of the data processing device, the output end of the data processing device is communicated with the input end of the big data analyzing and processing platform, the output end of the big data analyzing and processing platform is electrically connected with the input end of the comparison module, the comparison module is interconnected with the remote controller, and the remote controller is also electrically connected with an input device and an output device. Raw data of the heart rate fluctuation of a clinical patient is obtained, and undergoes big data analysis, and a heart rate characteristic curve is drafted as the identification characteristics of the clinical patient, so the automatic check-in of the clinical patient and the real-time checking and critical surveillance of the clinical patient can be realized.

Description

technical field [0001] The invention relates to a medical system, in particular to an intelligent management system and method for clinical patients. Background technique [0002] With the rapid development of information technology, more and more hospitals in China are accelerating the implementation of overall construction based on information platform, HIS, EMR and other systems to improve the service level and core competitiveness of hospitals. Informatization not only improves the work efficiency of medical staff, but also improves the satisfaction and trust of clinical patients. [0003] During the medical care and recuperation process of clinical patients, clinical patients need to sign in regularly, and clinical patients need to be supervised and regularly checked during bed rest. With the development of medical information technology, existing hospitals can allow clinical patients to sign in regularly through manual card swiping, wristband scanning code, face or fi...

AI Technical Summary

Problems solved by technology

With the development of medical information technology, existing hospitals can allow clinical patients to sign in regularly through manual card swiping, wristband scanning code, face or fingerprint recognition. Patients wear related wristbands, and the facial or fingerprint recognition process requires clinical patients to take off their glasses, hats or gloves.

These regular check-in processes are not only inconvenient to operate, but also only intermittent checks, and cannot be used for real-time checks and critical monitoring

[0004] Each person has a heart rate fluctuation curve that differs from others due to individual differences and physical conditions. Existing hospitals use thin-film pressure sensors to measure the raw data of clinical patients' heart rate fluctuations without touching the clinical patient's body and analyze the clinical patient's heart rate. sleep conditions, and there is currently no public report on the big data analysis of the raw data of heart rate fluctuations and the drawing of heart rate characteristic curves as identification features of clinical patients, so it can be applied to automatic sign-in, real-time verification and critical monitoring of clinical patients process

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