Table 1.

Barriers and Facilitators of Digital Health and Innovation in Cardio-Oncology Clinical Practice Addressed by COIN SUMMIT 2020/2021 Continuous Professional Development Learning Objectives; COIN = Cardiology Oncology Innovation Network, AI = Artifical Intellegence.

	Awareness	Knowledge	Exposure	Experience
Barriers	Lack of awareness and knowledge about cardio-oncology digital health tools	Complex and complicated digital health and innovation implementation	Lack of widespread translational Artificial intelligence and machine learning research in Cardio-oncology	Limited data access and gaps in provider education and training in utilizing machine learning, and digital tools to predict cardiovascular adverse events in cancer patients and survivors
Facilitators	Consistent Information on the efficacy and availability of innovative digital tools for cardio-oncologists and cancer patients and survivors	Continuing education on digital health and innovation implementation in cardio-oncology clinical practice	Increased collaborative research on machine learning and AI application in Cardio-oncology	Increased experiences for providers to utilize dynamic and explainable machine learning predictive risk models for cardiovascular adverse events in cancer patients and survivors