Datasets on ventricular arrhythmia

An East of England-based medical software company applies artificial intelligence to patient data to produce new early warning tools. They are seeking to develop an early-warning system for sudden cardiac arrest (SCA) due to ventricular arrhythmias. The company is seeking hospitals or SMEs that have collected data from critical care patients experiencing ventricular arrhythmias. This will form a cooperative relationship. Previous work resulted in the development of a prototype algorithm that predicts SCA. The purpose of this study is to collect additional data that will allow for improvement of the algorithm’s performance. If sufficiently accurate, this algorithm could serve as the basis for an early warning system that could alert clinicians of impending ventricular arrhythmias and improve survival. This study is part of an international study. Each study site that contributes data included in a study will have researchers serve as co-authors for that study, and will review and approve each manuscript prior to submission for publication. The UK company will take responsibility for the initial drafting of manuscripts for publications. At the conclusion of all sites’ data collection, they will prepare and submit a manuscript for publication describing algorithm performance based on all data collected from all sites. They will also make the software product available in all its potential forms for use to the collaborator for a number of years. So the initial research co-operation may extend to a technical one as in joint testing and market launch.