TY - JOUR
T1 - Personnel management model for reducing patient waiting time through sequential notification and staff motivation in a private polyclinic in Chincha
AU - Ascoy Saucedo, Milena
AU - Mego Montalvo, Yarlin
AU - Céspedes Blanco, Carlos
AU - Torres, Carlos
N1 - Publisher Copyright:
© 2025 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2025
Y1 - 2025
N2 - This research addresses the challenge of reducing patient waiting times at a private polyclinic in Chincha, Peru, with the aim of improving both operational efficiency and the quality of healthcare services. Utilizing the DMAIC methodology, the study implemented a strategic approach centered on two key pillars: fostering intrinsic staff motivation and introducing an appointment management system with sequential notifications. Over a nine-month period, the intervention led to a 54% reduction in schedule non-compliance and a 42% increase in medical consultations via pre-scheduled appointments, resulting in a significant decrease in waiting times from 125 to 49 minutes. These outcomes underscore the effectiveness of combining motivation strategies with digital tools to streamline healthcare delivery. Additionally, the initiative fostered improved communication and coordination among healthcare professionals, enhancing team collaboration, patient satisfaction, and loyalty. The findings demonstrate that the DMAIC methodology, when complemented by efficient appointment systems, offers a valuable framework for optimizing processes and can be replicated in similar healthcare settings to address common service delivery challenges.
AB - This research addresses the challenge of reducing patient waiting times at a private polyclinic in Chincha, Peru, with the aim of improving both operational efficiency and the quality of healthcare services. Utilizing the DMAIC methodology, the study implemented a strategic approach centered on two key pillars: fostering intrinsic staff motivation and introducing an appointment management system with sequential notifications. Over a nine-month period, the intervention led to a 54% reduction in schedule non-compliance and a 42% increase in medical consultations via pre-scheduled appointments, resulting in a significant decrease in waiting times from 125 to 49 minutes. These outcomes underscore the effectiveness of combining motivation strategies with digital tools to streamline healthcare delivery. Additionally, the initiative fostered improved communication and coordination among healthcare professionals, enhancing team collaboration, patient satisfaction, and loyalty. The findings demonstrate that the DMAIC methodology, when complemented by efficient appointment systems, offers a valuable framework for optimizing processes and can be replicated in similar healthcare settings to address common service delivery challenges.
KW - Appointment management
KW - DMAIC
KW - optimization
KW - satisfaction
KW - Waiting time
UR - https://www.scopus.com/pages/publications/105019314398
U2 - 10.18687/LACCEI2025.1.1.1601
DO - 10.18687/LACCEI2025.1.1.1601
M3 - Artículo de la conferencia
AN - SCOPUS:105019314398
SN - 2414-6390
JO - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
JF - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
IS - 2025
T2 - 23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025
Y2 - 16 July 2025 through 18 July 2025
ER -