Competencias profesionales, gestión clínica y grupos relacionados de diagnósticos. El caso de hospitales públicos chilenos

Katiuska Reynaldos-Grandón, José M. Saiz-Alvarez, Yerko Molina-Muñoz

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)


Objective To define a professional skills model for the creation of an information system to support clinical management based on diagnosis related groups (DRG) in Chilean public hospitals. Methods Mixed methodology. Qualitative, descriptive research based on focused interviews, with a theoretical or intentional sample of four leading DRG experts from Chile, with content analysis. Quantitative research using the Delphi method on 18 managers in charge of the implementation of DRG units in Chile, with three rounds. The analysis of quantitative data was carried out by clusters. Results After five iterations, 78 skills were evaluated out of a total of 179 as "high", including knowledge of the team leader, professional training (preferably nurses), 15 attitudes and values, 17 skills and 12 specific skills related to the coding system. Conclusion There is a tendency among professionals to require the maximum skills; a massive behavior was observed, with low discrimination and prioritization. To analyze the causes that make decision-making difficult and to prioritize the required skills is proposed to determine the necessary level for each skill, the gaps between skill offer and demand, and to design a system for evaluating the impact of the model on the development of the skills among the teams.

Título traducido de la contribuciónProfessional competences, clinical management and diagnostic related groups in Chilean public hospitals
Idioma originalEspañol
Páginas (desde-hasta)472-478
Número de páginas7
PublicaciónRevista de Salud Publica
EstadoPublicada - 1 jul. 2018

Palabras clave

  • Clinical governance
  • Diagnosis-related groups
  • Professional competence

Áreas temáticas de ASJC Scopus

  • Salud pública, medioambiental y laboral


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