Remote mobile medical management method based on cloud platform

Abstract

The present invention relates to a remote mobile medical management method based on a cloud platform. The method comprises that a patient mobile client generates a physiological data disease curve corresponding to the patient and a reference value of disease difference corresponding to the various physiological data of the patient according to the patient physiological data acquired by the patient physiological data acquisition device; the cloud platform extracts patient information, gender, age, place of birth, occupation, etc. of all patients that are registered on the cloud platform within the preset period to generate a pre-diagnosis model for all patients and obtain the pre-diagnosis disease for the current patient; and the cloud platform installs a preset forwarding criteria to send patient information, a patient physiological data set, the reference value of disease difference, and the pre-diagnosis disease to the corresponding hospital service subsystem for remote diagnosis, and the expert physicians form electronic medical records with their signatures for the patients. According to the remote mobile medical management method disclosed by the present invention, valuable reference information for doctors to diagnose the disease can be preliminarily provided by effectively using the mobile client and the cloud platform on the patient side, and remote mobile medical efficiency is improved.

Description

technical field [0001] The invention relates to the field of mobile medical care, in particular to a remote mobile medical management method based on a cloud platform. Background technique [0002] In recent years, with the continuous development of mobile Internet and the maturity of intelligent terminal technology, the concept of "mobile medical care" is gradually becoming known to people. Mobile medicine is a new medical method that collects physiological data such as blood pressure and heart rate of patients through medical equipment at the patient, and sends these physiological data to doctor terminals through the mobile Internet. For example, the current mobile medical care can help patients realize medical procedures such as appointment registration and payment settlement through mobile terminals or computers at home, which greatly solves the problems of long distances from patients to hospitals and long waiting times for payment. [0003] Although the existing mobil...

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Problems solved by technology

[0003] Although the existing mobile medical methods are convenient for patients to a certain extent, there are still some shortcomings: when patients access the hospital subsystem through a mobile terminal to make an appointment and register, they usually need to use the mobile terminal to enter their basic information, such as name , contact information, home address, and even ID number and other information related to personal privacy, once the data of the patient's personal privacy information cannot be effectively protected, it is very easy to cause personal information leakage, and suffer from various harassing and fraudulent calls. Affect the patient's mood when visiting a doctor; although some medical equipment can collect the patient's physiological data, the medical equipment does not process the collected physiological data with practical value for the diagnosis of the disease, but sends it directly to the hospital, so that the doctor can make the final decision Disease diagnosis, although it is convenient for patients, it also poses a problem for doctors to diagnose each patient's disease with a large amount of physiological data. Doctors often need to spend a lot of time to complete the diagnosis of each patient's disease, which still reduces medical efficiency; The mobile Internet has realized the mobile interconnection between patients and doctors located in different regions, causing doctors to be unable to make effective and comprehensive research and judgments when facing patients with difficult and miscellaneous diseases, but ignoring patients' gender, age, place of birth, place of work, and place of residence As well as the influence of personal information factors such as occupation on the patient's disease, which makes the doctor's diagnosis of the patient's disease inaccurate

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