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

Development and Evaluation of Research Methods, Instruments and Tools (744) Formative Evaluation of Digital Health Interventions (3229) Telehealth and Telemonitoring (2088) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Mental Health Issues in Adolescence (637)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43222, first published .
Optimizing an Adolescent Hybrid Telemedical Mental Health Service Through Staff Scheduling Using Mathematical Programming: Model Development Study

Optimizing an Adolescent Hybrid Telemedical Mental Health Service Through Staff Scheduling Using Mathematical Programming: Model Development Study

Optimizing an Adolescent Hybrid Telemedical Mental Health Service Through Staff Scheduling Using Mathematical Programming: Model Development Study

Authors of this article:

Abigail Palmer1 Author Orcid Image ;   Gemma Johns2 Author Orcid Image ;   Alka Ahuja2 Author Orcid Image ;   Daniel Gartner1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Werkmeister B, Haase A, Fleming T, Officer T. Global Implications From the Rise and Recession of Telehealth in Aotearoa New Zealand Mental Health Services During the COVID-19 Pandemic: Mixed Methods Study. JMIR Formative Research 2023;7:e50486 View
  2. Pohl S, Garcia L, Loucao S, McCormack E, Vogt J, Kiraly B. Introducing Virtual Visit Blocks to Optimize Space in Primary Care Practice. Telemedicine Reports 2025;6(1):134 View
  3. Nissinen A, Pitkänen A, Barchuk A, Hosseinian A, Johansson A, Kaisti M, Karvonen J, Marttinen P, Moen H, Peltola E, Sokka L, A. O. Tikkinen K. The climate impacts of healthcare digitalization: A scoping review. DIGITAL HEALTH 2025;11 View