A methodology for the creation of integrated service networks in outpatient internal medicine

Extended patient waiting times for medical care in outpatient internal medicine has a direct impact on patient dissatisfaction. This issue has become increasingly relevant in Colombia where patient waiting times tend to be longer. In this context, a methodology based on value stream mapping (VSM) an...

Full description

Autores:
Ortiz Barrios, Miguel Angel
Escorcia Caballero, Juan
Sánchez Sánchez, Fabián
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/3252
Acceso en línea:
http://hdl.handle.net/11323/3252
https://repositorio.cuc.edu.co/
Palabra clave:
Integrated service networks
Value stream mapping
Collaborative sceneries
Outpatient internal medicine
Healthcare
Redes integradas de servicios
Mapeo de flujo de valor
Escenarios colaborativos
Medicina interna ambulatoria
Cuidado de la salud
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:Extended patient waiting times for medical care in outpatient internal medicine has a direct impact on patient dissatisfaction. This issue has become increasingly relevant in Colombia where patient waiting times tend to be longer. In this context, a methodology based on value stream mapping (VSM) and collaborative sceneries has been created to examine different improving alternatives focused on the design of integrated service networks in outpatient internal medicine with the participation of two hospitals with mixed-patient type environment. First, an individual diagnosis for each hospital is made through VSM to identify non-value activities in the value chain and design improvement strategies for each process. Second, a strategic platform of the network is set. Third, communication and service protocols of the network are defined. Then, a simulation model is designed and validated to conduct experiments on the structure of the network. Finally, payment and risk tables are determined and key performance indexes of the network are established. The results prove the validity of the proposed approach upon reducing 75 % of the lead time in this process creating a positive impact on population’s health under satisfactory and equitable financial benefits for the participant hospitals.