Journal article

Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

Daniel Capurro, Mario Barbe, Claudio Daza, Josefa Santa Maria, Javier Trincado

JMIR Medical Informatics | JMIR PUBLICATIONS, INC | Published : 2020


BACKGROUND: Inclusion criteria for observational studies frequently contain temporal entities and relations. The use of digital phenotypes to create cohorts in electronic health record-based observational studies requires rich functionality to capture these temporal entities and relations. However, such functionality is not usually available or requires complex database queries and specialized expertise to build them. OBJECTIVE: The purpose of this study is to systematically assess observational studies reported in critical care literature to capture design requirements and functionalities for a graphical temporal abstraction-based digital phenotyping tool. METHODS: We iteratively extracted ..

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Awarded by CONICYT-FONDECYT (Chile)

Funding Acknowledgements

This work was supported by DC's CONICYT-FONDECYT (Chile) grant (no. 11130577).