RT Journal Article
T1 A probabilistic patient scheduling model with time variable slots
A1 Carreras Garcia, Danae
A1 Delgado Gómez, David
A1 Baca García, Enrique
A1 Artés Rodríguez, Antonio
AB One of the current challenges faced by health centers is to reduce the number of patients who do not attend their appointments.The existence of these patients causes the underutilization of the center’s services, which reduces their income and extendspatient’s access time. In order to reduce these negative effects, several appointment scheduling systems have been developed.With the recent availability of electronic health records, patient scheduling systems that incorporate the patient’s no-showprediction are being developed. However, the benefits of including a personalized individual variable time slot for eachpatient in those probabilistic systems have not been yet analyzed. In this article, we propose a scheduling system based onpatients’ no-show probabilities with variable time slots and a dynamic priority allocation scheme. The system is based on thesolution of a mixed-integer programming model that aims at maximizing the expected profits of the clinic, accounting forfirst and follow-up visits. We validate our findings by performing an extensive simulation study based on real data andspecific scheduling requirements provided by a Spanish hospital. The results suggest potential benefits with theimplementation of the proposed allocation system with variable slot times. In particular, the proposed model increases theannual cumulated profit in more than 50% while decreasing the waiting list and waiting times by 30% and 50%, respectively,with respect to the actual appointment scheduling system.
PB Hindawi
SN 1748-670X
YR 2020
FD 2020
LK https://hdl.handle.net/10016/35263
UL https://hdl.handle.net/10016/35263
LA eng
NO This work was partly funded by Carlos III (ISCIII PI16/01852), American Foundation for Suicide Prevention (LSRG-1-005-16), the MadridRegional Government (B2017/BMD-3740 AGES-CM 2CM;Y2018/TCS-4705 PRACTICO-CM), MINECO/FEDER(‘ADVENTURE’, id. TEC2015-69868-C2-1-R), MCIUExplora Grant ‘aMBITION’ (id. TEC2017-92552-EXP),and MICINN (‘CLARA’, id. RTI2018-099655-B-I00).
DS e-Archivo
RD 1 sept. 2024