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Applying the task-technology fit model to construct the prototype of a medical staff scheduling system.
Chen, Gary Yu-Hsin; Chen, Ping-Shun; Tsai, Tzu-Tao.
Afiliação
  • Chen GY; Department of Logistics Management, National Kaohsiung University of Science and Technology, Yanchao District, Kaohsiung City, Taiwan.
  • Chen PS; Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City, Taiwan.
  • Tsai TT; Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City, Taiwan.
Technol Health Care ; 30(5): 1055-1075, 2022.
Article em En | MEDLINE | ID: mdl-35570505
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Corpo Clínico Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Corpo Clínico Idioma: En Ano de publicação: 2022 Tipo de documento: Article