Dive Brief:
- GE HealthCare has introduced software that automatically aggregates data on atrial fibrillation (AFib) patients from different sources to save physicians time.
- The software, called CardioVisio, is a response to the time physicians spend searching through multiple systems, charts and screens to understand the cardiac history of AFib patients.
- By automatically pulling data from multiple sources and incorporating algorithms based on care guidelines, GE HealthCare has designed CardioVisio to support timely treatment of AFib.
Dive Insight:
The large number of AFib cases seen by physicians means that small time savings per patient could add up to a significant reduction in the hours spent assessing data. Globally, around 60 million people have AFib, and the figure is forecast to rise in the coming years as populations age.
GE HealthCare identified a need for better software to manage the growing number of AFib patients.
“Existing diagnosis and treatment care models for AFib have been shown to be complex, time consuming and disconnected with disparate guidelines and poor guideline adherence,” Eigil Samset, general manager for cardiology solutions at GE HealthCare, said in a statement.
Kenneth Civello, electrophysiologist and cardiologist with Louisiana Cardiology Associates at Our Lady of the Lake Physician Group, said his site’s “busy clinicians face a multitude of disparate patient data generated from years of diagnostic exams, medications, medical appointments and interventions.”
In a statement provided by GE, Civello said CardioVisio could help relieve clinicians of the data overload, enabling them to “provide timelier, personalized and evidenced-based care” to patients.
The software automatically aggregates data from sources including Epic’s electronic medical record platform and GE HealthCare’s own MUSE NX cardiac information system. After ingesting the data, the software provides a single-screen view of information such as laboratory and ECG results and allows the user to view a plotted history of patient events.