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2020 – today
- 2023
[j11]Daniel Gartner
, Joe Viana, Bahman Rostami Tabar, Dominik Pförringer, Günther Edenharter:
Challenging the throwaway culture in hospitals: Scheduling the mix of reusable and Single-Use bronchoscopes. J. Oper. Res. Soc. 74(10): 2215-2226 (2023)- [j10]Tracey J. England, Paul R. Harper, Tom Crosby, Daniel Gartner, Edilson F. Arruda, Kieran Foley, Ian Williamson:
Modelling lung cancer diagnostic pathways using discrete event simulation. J. Simulation 17(1): 94-104 (2023) - [i1]Elizabeth Williams, Daniel Gartner, Paul R. Harper:
Predictive and Prescriptive Analytics for Multi-Site Modeling of Frail and Elderly Patient Services. CoRR abs/2311.07283 (2023) - 2022
- [c12]Matthew Howells, Liz Andrew, Daniel Gartner:
Modelling the Accessibility of Adult Psychology Services Using Discrete Event Simulation. HICSS 2022: 1-8 - [c11]Daniel Gartner, Elizabeth M. Williams, Paul R. Harper:
Prescriptive Healthcare Analytics: A Tutorial on Discrete Optimization and Simulation. ICHI 2022: 1-3 - [c10]Elizabeth Williams, Daniel Gartner, Paul R. Harper:
Linking Predictive and Prescriptive Analytics of Elderly and Frail Patient Hospital Services. ICHI 2022: 1 - [c9]Daniel Gartner, Izabela Spernaes, Tracey J. England, Doris A. Behrens, Joanne Buchanan, Paul R. Harper:
Evaluation of Participants' Reaction and Learning in a Taught Analytics and Modelling Academy Program in U.K.'s National Health Service. ICHI 2022: 591-596 - 2021
- [j9]Emma Aspland, Paul R. Harper, Daniel Gartner, Philip Webb, Peter Barrett-Lee:
Modified Needleman-Wunsch algorithm for clinical pathway clustering. J. Biomed. Informatics 115: 103668 (2021) - [j8]Tracey J. England, Daniel Gartner, Edward Ostler, Paul R. Harper, Doris A. Behrens, John Boulton, Dilwyn Bull, Claire Cordeaux, Ian Jenkins, Fiona Lindsay, Rhys Monk, Leanne Watkins:
Near real-time bed modelling feasibility study. J. Simulation 15(4): 261-272 (2021) - 2020
- [j7]Henrique L. F. Soares, Edilson F. Arruda, Laura Bahiense, Daniel Gartner, Luiz Amorim Filho:
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate. Artif. Intell. Medicine 104: 101791 (2020) - [j6]Daniel Gartner, Rema Padman:
Flexible hospital-wide elective patient scheduling. J. Oper. Res. Soc. 71(6): 878-892 (2020) - [j5]Daniel Gartner, Rema Padman:
Machine learning for healthcare behavioural OR: Addressing waiting time perceptions in emergency care. J. Oper. Res. Soc. 71(7): 1087-1101 (2020) - [c8]Anita Lynam, Doris A. Behrens, Enzo M. Battista-Dowds, Daniel Gartner, Paul R. Harper:
A Monte Carlo Simulation Model for Evaluating the Effectiveness of Interventions along the 'Diabesity' Pathway. ICHI 2020: 1-2
2010 – 2019
- 2019
- [c7]Rosie Fleming, Daniel Gartner, Rema Padman, Dafydd James:
An Analytical Approach for Improving Patient-centric Delivery of Dialysis Services. AMIA 2019 - 2018
- [j4]Ines V. Arnolds, Daniel Gartner:
Improving hospital layout planning through clinical pathway mining. Ann. Oper. Res. 263(1-2): 453-477 (2018) - 2017
- [c6]Daniel Gartner, Rema Padman:
E-HOSPITAL - A Digital Workbench for Hospital Operations and Services Planning Using Information Technology and Algebraic Languages. MedInfo 2017: 84-88 - 2016
- [j3]Christiane Barz, Daniel Gartner:
Air Cargo Network Revenue Management. Transp. Sci. 50(4): 1206-1222 (2016) - [c5]Minal A. Singhee, Rema Padman, M. Sriram Iyengar, Daniel Gartner, Robert Monte, Ashley Ketterer, Brianna Scott, Angelo Baiocchi:
Pilot Evaluation of a Mobile Application to Reduce Congestive Heart Failure Readmission: The HealthPal Project. AMIA 2016 - [c4]Daniel Gartner, Rema Padman:
Mathematical Modelling and Cluster Analysis in Healthcare Analytics - The Case of Length of Stay Management. ICIS 2016 - 2015
- [j2]Daniel Gartner, Rainer Kolisch, Daniel B. Neill, Rema Padman:
Machine Learning Approaches for Early DRG Classification and Resource Allocation. INFORMS J. Comput. 27(4): 718-734 (2015) - [c3]Daniel Gartner, Yiye Zhang, Rema Padman:
Workload Reduction Through Usability Improvement of Hospital Information Systems - The Case of Order Set Optimization. ICIS 2015 - [c2]Daniel Gartner, Rema Padman:
Improving Hospital-Wide Early Resource Allocation through Machine Learning. MedInfo 2015: 315-319 - [c1]Daniel Gartner, Ines V. Arnolds, Stefan Nickel:
Improving Hospital-wide Patient Scheduling Decisions by Clinical Pathway Mining. MedInfo 2015: 1066 - 2014
- [j1]Daniel Gartner, Rainer Kolisch:
Scheduling the hospital-wide flow of elective patients. Eur. J. Oper. Res. 233(3): 689-699 (2014)
Coauthor Index
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