Abbott Uses Data to Enhance Heart Device Technology and Patient Care
Abbott Laboratories is leveraging electrophysiology data to improve its medical devices and patient diagnostics, particularly for conditions like atrial fibrillation. The company is actively recruiting data science and AI specialists.
Abbott Laboratories is utilizing electrophysiology data to advance the capabilities of its life-changing medical devices and provide deeper insights for patient care. Ashish Bhargava, senior director of software engineering, leads a team focused on developing cardiac mapping systems that interpret electromagnetic signals from the heart.
These systems create real-time 3D models of the heart's inner workings, enabling physicians to pinpoint the origin of conditions such as atrial fibrillation (AFib). This precise localization allows for targeted ablation procedures, which use heat or cold to scar or remove tissue and restore a regular heartbeat.
Bhargava's team continuously refines the data-driven software powering these cardiac mapping systems. The technology is designed to process extensive data rapidly, contributing to the accuracy of medical procedures. Abbott collects data from thousands of cases to improve its understanding of AFib and its underlying mechanisms.
Looking ahead, Abbott is developing a cloud-connected system for analyzing anonymized data, with plans to apply artificial intelligence and machine learning to further refine diagnostic and treatment processes. The company is seeking professionals in data science, cloud infrastructure, AI, and cybersecurity to support these advancements.