TY  - GEN
AU  - Pedrera-Jiménez, Miguel
AU  - García-Barrio, Noelia
AU  - Cruz-Rojo, Jaime
AU  - Terriza-Torres, Ana Isabel
AU  - López-Jiménez, Elena Ana
AU  - Calvo-Boyero, Fernando
AU  - Jiménez-Cerezo, María Jesús
AU  - Blanco-Martínez, Alvar Javier
AU  - Roig-Domínguez, Gustavo
AU  - Cruz-Bermúdez, Juan Luis
AU  - Bernal-Sobrino, José Luis
AU  - Serrano-Balazote, Pablo
AU  - Muñoz Carrero, Adolfo
PY  - 2021
DO  - 10.1016/j.jbi.2021.103697
UR  - http://hdl.handle.net/20.500.12105/12672
AB  - Background: COVID-19 ranks as the single largest health incident worldwide in decades. In such a scenario, electronic health records (EHRs) should provide a timely response to healthcare needs and to data uses that go beyond direct medical care and...
LA  - eng
PB  - Elsevier
KW  - COVID-19
KW  - Detailed clinical models
KW  - Electronic health records
KW  - Real world data
KW  - Semantics
KW  - Standards
KW  - Datasets as Topic
KW  - Electronic Health Records
KW  - Algorithms
KW  - COVID-19
KW  - Cohort Studies
KW  - Humans
TI  - Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models
TY  - research article
ER  -