e.g. mhealth
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This would allow us to “listen in” on the short-term patterns of RA disease severity and identify flares earlier or even predict flares before they unfold. The ability to identify or predict flares between clinical appointments based on patient-generated data would potentially allow for timely interventions. These might include self-management advice, medication adjustment, triggering a remote consultation, or bringing forward a planned visit.
JMIR Form Res 2024;8:e50679
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This avoided the potential week-to-week variation and ensured an adequate number of individual patient encounters (IBD flares) for each data point.
The Quality Criteria for ITS Designs checklist was used in the study design and assessment of appropriateness [21], and the Statement on Reporting of Evaluation Studies in Health Informatics (STARE-HI) guidelines were used for health informatics evaluations [22,23].
JMIR Med Inform 2024;12:e55314
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