Recruitment and training model for retaining and improving the reputation of medical specialists to increase revenue of a private healthcare SME

Audy Castro-Blancas, Carlos Rivas-Zavaleta, Carlos Cespedes-Blanco, Carlos Raymundo, Luis Rivera

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The present research presents an improved recruitment and training model focused on increasing physician reputation and loyalty to retain good physicians in the provinces of Peru and thereby increase competitiveness and profitability of the health care organization. Consequently, a pilot test of the model was implemented in an assisted reproductive technology (ART) clinic based in Chiclayo and Piura using a recruitment process checklist. The data resulted after the implementation were analyzed using the success rate of in vitro fertilization (IVF) treatments of the new physician and a structured engagement survey to determine retention by validation. In the new recruitment model, the new physician achieved a success rate of 46.15% in IVF pregnancies. The main physician participation was reduced from 69% to 48% without a decrease in total sales. The level of engagement achieved by the new physician was 96%, surpassing the average of the clinic’s medical team of 79%.

Idioma originalInglés
Título de la publicación alojadaIntelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtítulo de la publicación alojadaIntegrating People and Intelligent Systems
EditoresTareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
EditorialSpringer
Páginas719-725
Número de páginas7
ISBN (versión impresa)9783030395117
DOI
EstadoPublicada - 2020
Evento3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italia
Duración: 19 feb. 202021 feb. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1131 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
País/TerritorioItalia
CiudadModena
Período19/02/2021/02/20

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