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

Machine Learning (2341) Clinical Information and Decision Making (2180) Decision Support for Health Professionals (1725) Artificial Intelligence (2501)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48273, first published .
Patients and medical staff in a waiting room, some wearing masks

Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Authors of this article:

Yi Yang1 Author Orcid Image ;   Samaneh Madanian1 Author Orcid Image ;   David Parry2 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. AlSerkal Y, Ibrahim N, Alsereidi A, Ibrahim M, Kurakula S, Naqvi S, Khan Y, Oottumadathil N. Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study. JMIR Formative Research 2025;9:e64936 View
  2. Leiva-Araos A, Contreras C, Kaushal H, Prodanoff Z. Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning. Journal of Medical Systems 2025;49(1) View
  3. Zhang Y, Luo Y, Qiu L, Zhu Y, Lu X. Design of an ultrasound appointment system based on a patient-centered real-time dynamic resource allocation strategy. Frontiers in Public Health 2025;13 View
  4. Williamson A, Bon Nieves A, Tracy M, Raje N, Arganbright J. Social Determinants of Health and No-Show Clinic Appointments in Children with 22q11.2-Related Disorders. The Cleft Palate Craniofacial Journal 2026;63(5):1077 View
  5. Završnik J, Kokol P, Žlahtič B, Blažun Vošner H. Machine Learning in Primary Health Care: The Research Landscape. Healthcare 2025;13(13):1629 View
  6. Gallego-Moll C, Carrasco-Ribelles L, Casajuana M, Maynou L, Arocena P, Violán C, Zabaleta-del-Olmo E. Predicting Healthcare Utilization Outcomes With Artificial Intelligence: A Large Scoping Review. Value in Health 2026;29(1):159 View
  7. Sorajja N, Zheng J, Jariwala S. Exploring the Relationship between Digital Health Literacy and Patterns of Telemedicine Engagement and Appointment Attendance within an Urban Academic Hospital. Applied Clinical Informatics 2025;16(05):1695 View
  8. Zhang W, Chen X, Wang M, Hou R, Li N. From personalized learning to explainable prediction: A data-driven framework for patient no-shows. Information Processing & Management 2026;63(4):104633 View
  9. Elhag S, Althagafi L, Almouabdi S. Intelligent Patient Appointment Schedules. Healthcare 2026;14(9):1195 View
  10. Reschke P, Gruenewald L, Booz C, Yel I, Martin S, Koch V, Gotta J, Höhne E, Gruber-Rouh T, Eichler K, Vogl T, Bucher A. Radiology appointment management in German hospitals: a survey of referring physicians. Insights into Imaging 2026;17(1) View
  11. Afeef M, Al-Ahmadi H, Algozi S, Albargi A, Nakity A, Alsulami A, Hawsawe O, Alzahrani S, Almowalled N, Alsawat O, Natto Z. Missed Dental Appointments in Primary Care: Evidence from the Jeddah First Health Cluster. Saudi Journal of Health Systems Research 2026:1 View

Conference Proceedings

  1. Sathyan K, Lu T. 2025 IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM). Edge AI for Voice-to-Symptom Clinical Intake and Triage View