Igor Tona Peres1, Sílvio Hamacher1, Fernando Luiz Cyrino Oliveira1, Simone Diniz Junqueira Barbosa2, Fábio Viegas3. 1. Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ, 22451-900, Brazil. 2. Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente, 225 - Gávea, Rio de Janeiro, RJ, 22451-900, Brazil. 3. Institute of Gastro and Obesity Surgery, Rua Paulo Barreto, 73, Rio de Janeiro, RJ, 22280-010, Brazil. fabioviegas40@yahoo.com.br.
Abstract
PURPOSE: Appointment scheduling systems traditionally book patients at fixed intervals, without taking into account the complexity factors of the health system. This paper analyzes several appointment scheduling policies of the literature and proposes the most suitable to a bariatric surgery clinic, considering the following complexity factors: (i) stochastic service times, (ii) patient unpunctuality, (iii) service interruptions, and (iv) patient no-shows. MATERIALS AND METHODS: We conducted the study using data collected in a bariatric surgery clinic located in Rio de Janeiro, Brazil. The dataset presented 1468 appointments from June 29, 2015, to June 29, 2016. We comparatively evaluate the main literature policies through a discrete event simulation (DES). RESULTS: The proposed policy (IICR) provides a 30% increase in attendance and allows a decrease in the total cost, maintaining the level of service in terms of average waiting time. CONCLUSION: IICR was successfully implemented, and the practical results were very close to the simulated ones.
PURPOSE: Appointment scheduling systems traditionally book patients at fixed intervals, without taking into account the complexity factors of the health system. This paper analyzes several appointment scheduling policies of the literature and proposes the most suitable to a bariatric surgery clinic, considering the following complexity factors: (i) stochastic service times, (ii) patient unpunctuality, (iii) service interruptions, and (iv) patient no-shows. MATERIALS AND METHODS: We conducted the study using data collected in a bariatric surgery clinic located in Rio de Janeiro, Brazil. The dataset presented 1468 appointments from June 29, 2015, to June 29, 2016. We comparatively evaluate the main literature policies through a discrete event simulation (DES). RESULTS: The proposed policy (IICR) provides a 30% increase in attendance and allows a decrease in the total cost, maintaining the level of service in terms of average waiting time. CONCLUSION: IICR was successfully implemented, and the practical results were very close to the simulated ones.
Entities:
Keywords:
Appointment scheduling; Bariatric clinic; Computer simulation; Health care sector; Operations management
Authors: Weng Hong Fun; Ee Hong Tan; Ruzelan Khalid; Sondi Sararaks; Kar Foong Tang; Iqbal Ab Rahim; Shakirah Md Sharif; Suhana Jawahir; Raoul Muhammad Yusof Sibert; Mohd Kamal Mohd Nawawi Journal: Healthcare (Basel) Date: 2022-01-19
Authors: Jesús Isaac Vázquez-Serrano; Rodrigo E Peimbert-García; Leopoldo Eduardo Cárdenas-Barrón Journal: Int J Environ Res Public Health Date: 2021-11-22 Impact factor: 3.390