Optimization of teleconsultation appointment scheduling in National Telemedicine Center of China

Wan, M; Shukla, N; Li, J; Pradhan, B

Optimization of teleconsultation appointment scheduling in National Telemedicine Center of China

Wan, M Shukla, N Li, J Pradhan, B

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computers and Industrial Engineering, 2023, 183, pp. 109492
Issue Date:: 2023-09-01

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Field	Value	Language
dc.contributor.author	Wan, M
dc.contributor.author	Shukla, N
dc.contributor.author	Li, J
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.date.accessioned	2024-04-12T01:21:49Z
dc.date.available	2024-04-12T01:21:49Z
dc.date.issued	2023-09-01
dc.identifier.citation	Computers and Industrial Engineering, 2023, 183, pp. 109492
dc.identifier.issn	0360-8352
dc.identifier.uri	http://hdl.handle.net/10453/177794
dc.description.abstract	Teleconsultation service plays an important role in the Chinese healthcare service provision especially during the period of the COVID-19 pandemic. We propose a two-stage distributionally robust optimization model in teleconsultation appointment scheduling to minimize the total cost considering doctors’ and an inpatient's waiting for appointments in a neurology department. This approach suits well with unique type of patients, expert doctor's mobility and primary doctors’ time-anxiety of teleconsultation in the National Telemedicine Center of China. Given the ambiguity set based on the estimated mean and covariance matrix of the distribution, an approximate semidefinite programming model is reformulated, which can be solved by a standard solver due to special structures of constraints. In this paper, we have compared the performance of the strategy with and without considering primary doctors’ time-anxiety. We have used real-world data to conduct numerical experiments to determine the sensitivity of the results with respect to the changes in the parameters such as ambiguity set parameters, the risk level of overtime and waiting cost. Finally, managerial recommendations are provided for decision-makers to achieve better performance in the case of teleconsultation systems.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Computers and Industrial Engineering
dc.relation.isbasedon	10.1016/j.cie.2023.109492
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	49 Mathematical sciences
dc.title	Optimization of teleconsultation appointment scheduling in National Telemedicine Center of China
dc.type	Journal Article
utslib.citation.volume	183
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	in_progress	*
dc.date.updated	2024-04-12T01:21:48Z
pubs.publication-status	Published
pubs.volume	183

Abstract:

Teleconsultation service plays an important role in the Chinese healthcare service provision especially during the period of the COVID-19 pandemic. We propose a two-stage distributionally robust optimization model in teleconsultation appointment scheduling to minimize the total cost considering doctors’ and an inpatient's waiting for appointments in a neurology department. This approach suits well with unique type of patients, expert doctor's mobility and primary doctors’ time-anxiety of teleconsultation in the National Telemedicine Center of China. Given the ambiguity set based on the estimated mean and covariance matrix of the distribution, an approximate semidefinite programming model is reformulated, which can be solved by a standard solver due to special structures of constraints. In this paper, we have compared the performance of the strategy with and without considering primary doctors’ time-anxiety. We have used real-world data to conduct numerical experiments to determine the sensitivity of the results with respect to the changes in the parameters such as ambiguity set parameters, the risk level of overtime and waiting cost. Finally, managerial recommendations are provided for decision-makers to achieve better performance in the case of teleconsultation systems.

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http://hdl.handle.net/10453/177794