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.
Drashko NakikjDavid KredaNils GehlenborgPublished in: JMIR human factors (2023)
Patients need to have a flexible and rich way to organize and annotate their EHR data; be introduced to insights from these data-both positive and negative; and share these artifacts with their physicians in clinical visits or via messaging for establishing shared mental models for clear goals, agreed-upon priorities, and feasible actions.
Keyphrases
- electronic health record
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- prognostic factors
- magnetic resonance imaging
- systematic review
- magnetic resonance
- computed tomography
- patient reported outcomes
- artificial intelligence
- machine learning
- deep learning
- smoking cessation
- data analysis