Improving Cardiac Care with AI: An Insight into the Heart+ Monitoring System
TL/DR –
AI-based technologies have the potential to improve cardiac care within healthcare systems, with AI-based monitoring systems being of particular interest. One such system is the Heart+ remote cardiac monitoring platform, which uses machine learning to streamline monitoring of cardiac-implantable electronic devices, ambulatory ECGs, and wearable devices, and has been implemented at Mount Sinai and Yale. The current adoption of AI in healthcare is rapidly evolving, with AI algorithms being increasingly embedded in diagnostic tools, and there is a significant interest in AI for tasks such as reducing administrative burdens, engaging with patients, and supporting clinicians.
AI-Powered Solutions in Cardiac Care: Embracing the Future of Medicine
Today’s advanced AI technologies are increasingly being integrated into all aspects of medicine. Cardiac care is no exception, with AI-based tools offering potential enhancements to streamline healthcare systems’ cardiac care1-4. Notably, AI-driven monitoring systems, such as the Heart+ remote cardiac monitoring platform, are turning heads in the cardiology sector5,6.
Developed by 91Life, the Heart+ system is a superior cloud-native platform designed to optimize remote monitoring of cardiac implantable electronic devices and wearable devices. Integrating patient data from various sources, the system employs machine learning to triage alerts, generate reports and push structured data into the clinic’s electronic medical records.
Current Landscapes: AI in Cardiac Care
Discussing the current state and impact of AI-based tools in cardiac care, Dr. Faraz Ahmad, from the Bluhm Cardiovascular Institute Center for Artificial Intelligence at Northwestern Medicine, detailed how ambient listening technology for clinical note generation has been rapidly adopted within health systems7. In cardiovascular medicine, AI algorithms are becoming integral to diagnostic tools such as ECG, echocardiography, cardiac CT, and MRI8.
However, the rapid adoption of AI comes with its challenges and risks. To address these, multiple efforts have been made to develop best practices for AI evaluation and monitoring, with many health systems creating internal AI governance policies. Dr. Ahmad advises clinicians to stay informed about the ever-evolving AI applications in cardiovascular care.
Heart+: Enhancing the Patient-Physician Relationship
Dr. Marie-Noelle Langan, former director of operations at Mount Sinai’s electrophysiology division and chief medical advisor at 91Life, shared insight into Heart+’s use and benefits. The platform has been used at Mount Sinai for almost three years and for over five years at Yale. She noted that despite initial resistance to change, clinicians quickly appreciated the value and increased efficiency brought by the platform.
Addressing the challenges of AI in healthcare, Dr. Langan explained the rigorous security measures taken by Heart+ to ensure the privacy of patient data. To reduce the inherent risk of biases that may exacerbate health disparities, the 91Life platform ensures data is consistently represented across all commercial information, paying careful attention to ensure the language is appropriate and personalized for all patients.
On the environmental impact of AI, 91Life emphasized their commitment to developing lean, purpose-built AI models that are computationally efficient and operationally practical. This approach aligns with healthcare institutions’ efforts to reduce their environmental footprint and “go green”.
Heart+’s ongoing efforts are focused on perfecting AI-driven suggestions within the platform’s simplified framework to ensure accuracy in new features. To learn more about the remarkable advancements of AI in Cardiac Healthcare, continue exploring resources and staying informed with the latest research.
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