This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2491) Artificial Intelligence (1421) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Clinical Informatics in Low-Resource Settings and the Developing World (104)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29012, first published .
The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study

The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study

The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study

Authors of this article:

Kaio Jia Bin1 Author Orcid Image ;   Adler Araujo Ribeiro Melo2 Author Orcid Image ;   José Guilherme Moraes Franco da Rocha3 Author Orcid Image ;   Renata Pivi de Almeida1 Author Orcid Image ;   Vilson Cobello Junior1 Author Orcid Image ;   Fernando Liebhart Maia1 Author Orcid Image ;   Elizabeth de Faria1 Author Orcid Image ;   Antonio José Pereira1 Author Orcid Image ;   Linamara Rizzo Battistella4 Author Orcid Image ;   Suzane Kioko Ono5 Author Orcid Image
Article Authors Cited by (7) Tweetations (6) Metrics

Kaio Jia Bin   1 , MD, MBA ;   Adler Araujo Ribeiro Melo   2 , MD ;   José Guilherme Moraes Franco da Rocha   3 ;   Renata Pivi de Almeida   1 , BA ;   Vilson Cobello Junior   1 , BEng ;   Fernando Liebhart Maia   1 , MBA ;   Elizabeth de Faria   1 , MD ;   Antonio José Pereira   1 , BEng ;   Linamara Rizzo Battistella   4 , MD, PhD ;   Suzane Kioko Ono   5 , MD, PhD

1 Hospital das Clinicas, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil

2 Department of Internal Medicine, Federal University of Sao Paulo, Sao Paulo, Brazil

3 Escola de Engenharia de Sao Carlos, Universidade de Sao Paulo, Sao Carlos, Brazil

4 Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil

5 Department of Gastroenterology, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil

Corresponding Author:

  • Kaio Jia Bin, MD, MBA
  • Hospital das Clinicas
  • Faculdade de Medicina
  • Universidade de Sao Paulo
  • Rua Dr. Ovidio Pires de Campos 225
  • Sao Paulo, 05403-110
  • Brazil
  • Phone: 55 1126616208
  • Fax: 55 1126616200
  • Email: kaiobin@gmail.com