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

Clinical Mental Health Informatics (68) Machine Learning (2076) Artificial Intelligence (2129) Clinical Informatics (1325)

Published on in Vol 9, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38428, first published .
Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach

Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach

Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach

Authors of this article:

Amir Rastpour1 Author Orcid Image ;   Carolyn McGregor1, 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Knights J, Bangieva V, Passoni M, Donegan M, Shen J, Klein A, Baker J, DuBois H. A framework for precision “dosing” of mental healthcare services: algorithm development and clinical pilot. International Journal of Mental Health Systems 2023;17(1) View
  2. Al‐Mousa A, Al‐Zubaidi H, Al‐Dweik M. A machine learning‐based approach for wait‐time estimation in healthcare facilities with multi‐stage queues. IET Smart Cities 2024;6(4):333 View
  3. Joseph J, Senith S, Kirubaraj A, Ramson S. Prediction of Consultation Wait Time in Outpatient Clinic: An Approach using Neural Network with Optimized Feature Selection. Procedia Computer Science 2024;233:129 View
  4. Baglini K, Bruns D, Hill J. Telemedicine as a Referral Bridge: A Nurse Practitioner–Led Intervention to Increase Initial Psychiatric Appointment Attendance. The Journal for Nurse Practitioners 2024;20(7):105068 View
  5. Aquino Y, Rogers W, Jacobson S, Richards B, Houssami N, Woode M, Frazer H, Carter S. Defining change: Exploring expert views about the regulatory challenges in adaptive artificial intelligence for healthcare. Health Policy and Technology 2024;13(3):100892 View
  6. Varanasi S, Malathi K. HYBRID ARCHITECTURE WITH IMPROVED SCORE LEVEL FUSION FOR PATIENT WAITING TIME PREDICTION. Biomedical Engineering: Applications, Basis and Communications 2025;37(01) View
  7. Milasan L, Scott‐Purdy D. The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review. International Journal of Mental Health Nursing 2025;34(1) View
  8. Riahi V, Rolls D, Diouf I, Khanna S, O'Sullivan K, Jayasena R. A Next Available Appointment (NAA) Tool to Better Manage Patient Delay Risk and Patient Scheduling Expectations in Specialist Clinics. The International Journal of Health Planning and Management 2025;40(3):607 View
  9. Meier-Diedrich E, Turvey C, Wördemann J, Speck J, Weibezahl M, Schwarz J. Patient–Health Care Professional Communication via a Secure Web-Based Portal in Severe Mental Health Conditions: Qualitative Analysis of Secure Messages. JMIR Formative Research 2025;9:e63713 View
  10. Subotic-Kerry M, Borchard T, Parker B, Li S, Choi J, Long E, Batterham P, Whitton A, Gockiert A, Spencer L, O’Dea B. While they wait: a cross-sectional survey on wait times for mental health treatment for anxiety and depression for adolescents in Australia. BMJ Open 2025;15(3):e087342 View
  11. Guo L, Tang R, Wang J, Zheng S, Zeng Y, Hou J, Dong M, Li J, Cui Y. Predicting Waiting Times for Medical Tasks in a Pediatric Hospital Using Machine Learning: Comprehensive, Retrospective, Real-World Study. JMIR Medical Informatics 2025;13:e77297 View
  12. Chawla J. Comment on “A Next Available Appointment (NAA) Tool to Better Manage Patient Delay Risk and Patient Scheduling Expectations in Specialist Clinics”. The International Journal of Health Planning and Management 2025 View
  13. Ali M, Ali S, Abbas Q, Abbas Z, Lee S. Artificial intelligence for mental health: A narrative review of applications, challenges, and future directions in digital health. DIGITAL HEALTH 2025;11 View

Conference Proceedings

  1. Mandizvida T, Moyo S, Dzinomwa M. 2024 3rd Zimbabwe Conference of Information and Communication Technologies (ZCICT). Reducing Patient Waiting Time at Public Hospitals Through Predictive Modeling View