Can eHealth programs for cardiac arrhythmias be scaled-up by using the KardiaMobile algorithm?

Background: Remote monitoring devices for atrial fibrillation are known to positively contribute to the diagnostic process and therapy compliance. However, automatic algorithms within devices show varying sensitivity and specificity, so manual double-checking of electrocardiographic (ECG) recordings remains necessary.

Objective: The purpose of this study was to investigate the validity of the KardiaMobile algorithm within the Dutch telemonitoring program (HartWacht).

[Coronary calcium CT-scanning advisable in patients with a high cardiovascular risk: refining cardiovascular risk in primary prevention].

Currently, risk prediction models like SCORE are used for decision making in the primary prevention of cardiovascular disease. The external validity of these models is questionable since they give rise to overtreatment with statins or antihypertensive drugs. Detailed individual risk assessment may reduce this drawback and will increase cost effectiveness.