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Jonathan Patrick

Patrick, Jonathan
Professeur titulaire
B.A.Sc. (McMaster), M.Sc. (UBC), Ph.D. (UBC)
Pièce
DMS 10152
Téléphone
613-562-5800 poste 4796
Courriel
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Notice biographique

Professeur adjoint, Jonathan Patrick détient un doctorat en science de la gestion et une maîtrise en mathématiques de la University of British Columbia. Ses intérêts de recherche portent sur la gestion des soins de santé : l’établissement des rendez-vous des patients, la gestion des soins de santé et les modèles de traitement des patients, la gestion des temps d’attente, la programmation dynamique, la programmation dynamique approchée, les modèles et processus aléatoires ainsi que la programmation linéaire.

Le professeur Patrick est membre de INFORMS et de CORS. Il est également chercheur affilié au Centre for Health Care Management, à l'Université de la Colombie-Britannique.

Domaines de recherche

Publications au cours des 7 dernières années

Articles publiés dans des revues avec comité de lecture

  • Dehnoei, S., Sauré, A., Ozturk, O., Gardner, W., Pajera, K., Sheppard, R. and Patrick, J. 2024. A stochastic optimization approach for staff scheduling decisions at inpatient units. International Transactions in Operational Research, 31(3): 1762-1790.
  • Khorasanian, D., Patrick, J. and Sauré, A. 2024. Dynamic Home Care Routing and Scheduling Problem with Uncertain Number of Visits per Referral. Transportation Science, (In Press).
  • Kamyabniya, A., Sauré, A., Salman, S., Benichou, N. and Patrick, J. 2024. Optimization Models for Disaster Response Operations: A Literature Review. OR Spectrum, (In Press).
  • Varshoei, P., Patrick, J. and Ozturk, O. 2024. Optimization of elective patient admissions during pandemics: Case of COVID-19. Journal of the Operational Research Society.
  • Babashov, V., Sauré, A., Ozturk, O. and Patrick, J. 2023. Setting Wait Time Targets in a Multi-Priority Patient Setting: An Inverse Optimization Approach. Production and Operations Management, 32(6): 1958-1974.
  • Moosavi, A., Ozturk, O. and Patrick, J. 2022. Staff Scheduling for Residential Care Under Pandemic Conditions: The Case of COVID-19. Omega, 112: 102671.
  • Kamyabniya, A., Noormohammadzadeh, Z., Sauré, A. and Patrick, J. 2021. A Robust Integrated Logistics Model for Age-Based Multi-Group Platelets in Disaster Relief Operations. Transportation Research Part E: Logistics and Transportation Review, 152: 102371.
  • Legrain, A. and Patrick, J. 2021. Inventory Management Using an (s,S)-Policy at The Bank of Canada. INFORMS Journal of Applied Analytics, 52(2): 210-225.
  • Labijak-Kowalska, A., Kadzinski, M., Spychata, I., Dias, L., Fiallos, J., Patrick, J., Michalowski, M. and Farion, K. 2021. Performance evaluation of emergency department physicians using robust value-based additive efficiency model. International Transactions in Operational Research, 30(1): 503-544.
  • Sauré, A., Begen, M. and Patrick, J. 2020. Dynamic Multi-Priority, Multi-Class Patient Scheduling with Stochastic Service Times. European Journal of Operational Research, 280(1): 254-265.
  • Patrick, J., Montazeri, A., Michalowski, M. and Bannerjee, D. 2019. Automated Pathologist Scheduling at The Ottawa Hospital. INFORMS Journal of Applied Analytics, 49(2): 93-103.
  • Bidhandi, H., Patrick, J., Noghani, P. and Varshoei, P. 2019. Capacity Planning for a Network of Community Care Services. European Journal of Operational Research, 275(1): 266-279.
  • Ozturk, O. and Patrick, J. 2018. An optimization model for freight transport using urban rail transit. European Journal of Operational Research, 267(3): 1110-1121.
  • Bidhandi, H., Noghani, P. and Patrick, J. 2017. Accelerated Sample Average Approximation Method for Two-Stage Stochastic Programming. Applied Mathematical Modelling, 41(January 2017): 582-595.
  • Fiallos, J., Patrick, J., Michalowski, M. and Farion, K. 2017. Using Data Envelopment Analysis for Assessing the Performance of Pediatric Emergency Department Physicians. Health Care Management Science, 20(1): 129-140.

Recherche subventionnée au cours des 7 dernières années

Recherche subventionnée au cours des 7 dernières années
De-À Source Titre * ** Rôle Montant
2022-2023 MITACS Scheduling and Routing of Personal Support Workers in Home Health Care R G PI $ 30,000
2021-2024 National Research Council of Canada (NRC), Small Teams Initiative Resilience and Adaptation to Climatic Extreme (RACE) Wildfires (Research initiative with a budget of $1,921,000 dollars) R G Co-I $ 75,000
2021 Telfer School of Management Research Grants (SMRG) Robust Deep Reinforcement Learning for Portfolio Management R I PI $ 4,000
2020-2025 CRSNG Stochasticity in Approximate Dynamic Programming R C PI $ 155,000
2020-2021 MITACS A deep risk-sensitive reinforcement learning framework for portfolio management R O Co-PI $ 15,000
2020-2021 MITACS Robust Resource-Service-to-Patient Allocation Planning in Mass Casualty Incidents R O Co-PI $ 6,000
2020 Telfer School of Management Research Grants (SMRG) An Adjustable Robust Optimization Approach for personnel scheduling under uncertain demand R I PI $ 4,000
2019-2020 Telfer School of Management Research Grants (SMRG), Postdoctoral Research Fellowship Support Grant Home Health Care Scheduling and routing R I PI $ 30,000
2018-2021 Health System Research Fund, Program Awards Informing Health System Reform for Long-Term and Community Care R G Co-I $ 2,085,701
2017 Telfer School of Management Research Grants (SMRG) Capacity Planning for a Mood and Anxiety Disorder Outpatient Clinic using the CAPA Service Management Management System R I PI $ 4,000
2015-2020 CRSNG Improving Patient Flow Through Acute Care R C Co-PI $ 110,000
2012 IBM CBAP A Model for Performance Evaluation of Pediatric Emergency Department Physicians R I PI $ 10,000

LÉGENDE :

* But
C: Contrat de recherche | E: Subvention d'équipement | R : Subvention de recherche | S : Fonds de soutien | P : Subvention pédagogique | O : Autre | U : Inconnu

**Genre
C : Conseils subventionnaires | G : Gouvernements | F : Fondations | I : Financement interne UO | O : Autre | U : Inconnu

Rôle
PI = Chercheur(e) principal(e) | Co-I = Co-chercheur(e) | Co-PI = Co-Chercheur(e) principal(e)

Piliers
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