Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Applying Data Science methods and tools to unveil healthcare use of lung cancer patients in a teaching hospital in Spain (Q3)
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Purpose Our primary goal was to study the use of outpatient attendances by lung cancer patients in Hospital Universitario Puerta de Hierro Majadahonda (HUPHM), Spain, by leveraging our Electronic Patient Record (EPR) and structured clinical registry of lung cancer cases as well as assessing current Data Science methods and tools. Methods/patients We applied the Cross-Industry Standard Process for Data Mining (CRISP-DM) to integrate and analyze activity data extracted from the EPR (9.3 million records) and clinical data of lung cancer patients from a previous registry that was curated into a new, structured database based on REDCap. We have described and quantified factors with an influence in outpatient care use from univariate and multivariate points of view (through Poisson and negative binomial regression). Results Three cycles of CRISP-DM were performed resulting in a curated database of 522 lung cancer patients with 133 variables which generated 43,197 outpatient visits and tests, 1538 ER visits and 753 inpatient admissions. Stage and ECOGPS at diagnosis and Charlson Comorbidity Index were major contributors to healthcare use. We also found that the patients? pattern of healthcare use (even before diagnosis), the existence of a history of cancer in first-grade relatives, smoking habits, or even age at diagnosis, could play a relevant role. Conclusions Integrating activity data from EPR and clinical structured data from lung cancer patients and applying CRISPDM has allowed us to describe healthcare use in connection with clinical variables that could be used to plan resources and improve quality of care.
Internacional
Si
JCR del ISI
Si
Título de la revista
Clinical & Translational Oncology
ISSN
1699-048X
Factor de impacto JCR
2,392
Información de impacto
Datos JCR del año 2017
Volumen
DOI
10.1007/s12094-019-02074-2
Número de revista
Desde la página
1
Hasta la página
10
Mes
SIN MES
Ranking
Q3
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Luis Cruz Bermudez (UPM)
  • Autor: Consuelo Parejo (Hospital Universitario Puerta de Hierro)
  • Autor: Francisco Martínez Ruíz (Universitat de Valencia)
  • Autor: Juan Cristóbal Sánchez González (Hospital Universitario Puerta de Hierro)
  • Autor: Arturo Ramos Martín-Vegue (Hospital Universitario Puerta de Hierro)
  • Autor: Ana Royuela (Instituto de Investigación Sanitaria Puerta de Hierro Segovia de Arana)
  • Autor: Alejandro Rodriguez Iglesias (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Mariano Provencio Pulla (Hospital Universitario Puerta de Hierro)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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