NCT04186104

Artificial Intelligence in Children's Clinic

Completed NA Last updated 1 July 2021

What this trial tests

NA trial testing Routine diagnostic process in Artificial Intelligence in 626 participants. Completed in 29 June 2021.

Timeline

21 March 2020

Primary endpoint
29 June 2021

29 June 2021

Quick facts

Lead sponsor	Shanghai Jiao Tong University School of Medicine
Phase	NA
Status	Completed
Study type	INTERVENTIONAL
Allocation	randomized
Design	parallel
Masking	none
Primary purpose	health services research
Enrollment	626
Start date	21 March 2020
Primary completion	29 June 2021
Estimated completion	29 June 2021
Sites	2 locations across China

Drugs / interventions tested

• Routine diagnostic process
• Artificial intelligence assisted diagnosis process

Conditions studied

• Artificial Intelligence — all drugs for Artificial Intelligence →
• Outpatient — all drugs for Outpatient →

Sponsor

Shanghai Jiao Tong University School of Medicine

Who can join

Adults 2 Months to 18, any sex, with Artificial Intelligence or Outpatient. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

In China, the number of children's medical services is still far behind the growing demand for children's health care. The phenomenon of children's parents queuing overnight for registration is no longer surprising. This is because of the increase in the number of children and the shortage of pediatric talents. In the department of pediatrics, the number of patients increases year by year, but pediatrician is short of supply from beginning to end. In addition to outpatient service, pediatricians in large hospitals also perform operations, scientific research and other tasks. As a result, many doctors have to give up their vacations, which makes them miserable and reduces their enthusiasm for work. The long queuing time also reduced the satisfaction of patients, resulting in the intensification of the conflict between pediatric doctors and patients.

This research project aims to create a human-computer integrated system and develop a new diagnosis process embedded with artificial intelligence (AI). The function of AI system mainly includes 3 aspects. (1) The patient uses a mobile phone application embedded with AI that allows him to have check-up before see a doctor. The program will ask the patient a number of questions. Then, based on the patient's answers, AI will recommend a series of examination, all of which would be reviewed by the physician beforehand. After the patient pays for it, he could go straight to do the examination. So, next he could go to the doctor with the examination report which saves the patient the trouble of queuing. (2) At the same time, the AI system could also automate the medical history. The patient would complete self-help history collection in the spare time. The AI system collects the medical history and automatically import it to the doctor's computer. Doctors' main job is to modify the medical history generated by AI. To some extent, it lightens the burden of doctors. (3) During the visit, the AI system automatically captures the information in the patient's electronic medical record and generates the possible diagnosis. This process is of great help to junior doctors, and may serve as a cue.

In short, this study is helpful to effectively reduce the waiting time of patients and greatly increase their medical experience. While reducing the work intensity of doctors, the outpatient procedure of our hospital has been effectively optimized to alleviate the shortage of pediatricians to some extent.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

1. Using artificial intelligence to reduce queuing time and improve satisfaction in pediatric outpatient service: A randomized clinical trial.
   Li X, Tian D, Li W, Hu Y, et al · · 2022 · cited 12× · PMID 36034568 · DOI 10.3389/fped.2022.929834