An Intelligent Whole-Process Medical System Based on Cloud Platform

ABSTRACT

In response to the shortage of high-quality medical resources, long waiting times, and difficulties finding the right doctor, a smart medical system design scheme is proposed. This system is built on a cloud platform to increase capacity and improve operating speed. It offers intelligent triage, disease diagnosis, intelligent question-and-answer, online doctor diagnosis, online registration, patient-patient communication, doctor-patient communication, online payment, map navigation, and other functions. By using machine learning and deep learning methods, the system analyzes the patient’s disease description, laboratory test sheets, and other medical image materials to diagnose the disease suffered by the patient. The matching degree of the doctor and the patient is calculated based on the doctor’s expertise, patient evaluation, and doctor satisfaction, and doctors are arranged for patients to choose. The system also integrates the diagnosis results made by multiple doctors to help patients understand their illnesses conveniently. Additionally, an intelligent question-and-answer module analyzes the patient’s inquiry intention and gives feedback to the patient’s question. The system’s feasibility and practicability have been demonstrated by experts in the fields of medical treatment, computer, and economic management. Overall, this system has high application value and can effectively solve the problems that exist in the current medical field.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.