Alerts and Collections for Automating Patients’ Sensemaking and Organizing of Their Electronic Health Record Data for Reflection, Planning, and Clinical Visits: Qualitative Research-Through-Design Study

BACKGROUND: Electronic health record (EHR) data from multiple providers often exhibit important but convoluted and complex patterns that patients find hard and time-consuming to identify and interpret. However, existing patient-facing applications lack the capability to incorporate automatic pattern...

Descripción completa

Detalles Bibliográficos
Autores principales: Nakikj, Drashko, Kreda, David, Gehlenborg, Nils
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477924/
https://www.ncbi.nlm.nih.gov/pubmed/37603400
http://dx.doi.org/10.2196/41552

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477924/
https://www.ncbi.nlm.nih.gov/pubmed/37603400
http://dx.doi.org/10.2196/41552

Ejemplares similares