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Chen GYH, Chen PS, Tsai TT. Applying the task-technology fit model to construct the prototype of a medical staff scheduling system. Technol Health Care 2022; 30:1055-1075. [DOI: 10.3233/thc-213260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: Medical staff scheduling problems are complex and involve numerous constraints. OBJECTIVE: This research uses the task-technology fit (TTF) model to measure the technology characteristics of information technology (IT) systems as a reference for constructing a prototype for a medical staff scheduling system to identify function requirements and design human interfaces. METHOD: After the evaluation of the proposed scheduling system, this research excludes compatibility from the 13 technology characteristics and adds two technology characteristics for consideration: customization and scalability. RESULTS: Based on the revised technology characteristics of the TTF model, this research develops flexible scheduling functions to satisfy daily manpower requirements and allow predetermined schedules and day-off reservations for a hospital’s radiological technologists. Characterized by flexibility, customization, and scalability, the system can accommodate several algorithms to generate a better schedule that satisfies hard and soft constraints. Furthermore, the scheduler can choose the required hard and soft constraints from all constraints. The prototype of the scheduling system will be easily extended to add or modify constraints in the case of requirement or regulation changes. CONCLUSION: The results of this study provide a prototype for system developers to design a customized staff scheduling system for each medical unit.
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Affiliation(s)
- Gary Yu-Hsin Chen
- Department of Logistics Management, National Kaohsiung University of Science and Technology, Yanchao District, Kaohsiung City, Taiwan
| | - Ping-Shun Chen
- Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City, Taiwan
| | - Tzu-Tao Tsai
- Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City, Taiwan
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Sun X, Chung S, Ma H. Operational Risk in Airline Crew Scheduling: Do Features of Flight Delays Matter?*. DECISION SCIENCES 2020. [DOI: 10.1111/deci.12426] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Xuting Sun
- SHU‐UTS SILC Business School Shanghai University Shanghai 201899 PR China
| | - Sai‐Ho Chung
- Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong
| | - Hoi‐Lam Ma
- Department of Supply Chain and Information Management The Hang Seng University of Hong Kong Hang Shin Link, Siu Lek Yuen Shatin, N.T. Hong Kong
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Solomon S, Li H, Womer K, Santos C. Multiperiod Stochastic Resource Planning in Professional Services Organizations. DECISION SCIENCES 2019. [DOI: 10.1111/deci.12370] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Stanislaus Solomon
- Management and Marketing DepartmentSchool of BusinessSouthern Illinois University Edwardsville Edwardsville IL 62025
| | - Haitao Li
- Supply Chain & Analytics DepartmentCollege of Business AdministrationUniversity of Missouri‐St. Louis St. Louis MO 63121
| | - Keith Womer
- Supply Chain & Analytics DepartmentCollege of Business AdministrationUniversity of Missouri‐St. Louis St. Louis MO 63121
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