The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU.

High false alarm rates in the ICU decrease quality of care by slowing staff response times while increasing patient delirium through noise pollution. The 2015 Physio-Net/Computing in Cardiology Challenge provides a set of 1,250 multi-parameter ICU data segments associated with critical arrhythmia alarms, and challenges the general research community to address the issue of false alarm suppression using all available signals. Each data segment was 5 minutes long (for real time analysis), ending at the time of the alarm.

Designing Reliable Cohorts of Cardiac Patients across MIMIC and eICU.

The design of the patient cohort is an essential and fundamental part of any clinical patient study. Knowledge of the Electronic Health Records, underlying Database Management System, and the relevant clinical workflows are central to an effective cohort design. However, with technical, semantic, and organizational interoperability limitations, the database queries associated with a patient cohort may need to be reconfigured in every participating site.

Issues influencing development of the Canadian Cardiovascular Information Network.

The 1995 Consensus Conference of the Canadian Cardiovascular Society on "Indications for and Access to Revascularization" recommended that Canadian centres with invasive cardiovascular facilities should participate in a national observational database that monitors the selection of patients, as well as evaluate outcomes. The Canadian Cardiovascular Society, the Heart and Stroke Foundation of Canada, and Health Canada with IBM as a partner, initiated a process to identify factors influencing the development of the Canadian Cardiovascular Information Network. IBM's "Business Discovery Methodology" was adapted for health care.