Bridging the gap to advance the care of individuals with cancer: collaboration and partnership in the Cardiology Oncology Innovation Network (COIN).
Sherry-Ann BrownCraig BeaversHugo R MartinezCatherine H MarshallIredia M OlayeAvirup GuhaDavid ChoAlison BaileyCarmen BergomNeha BansalBrenton BauerRichard K ChengPublished in: Cardio-oncology (London, England) (2022)
Cardiovascular diseases and cancer continue to be the two leading causes of death in the United States. While innovations in artificial intelligence, digital health, and telemedicine may revolutionize cardio-oncology clinical practice, barriers to widespread adoption continue to exist. The most effective way to advance these technologies is through a broad range of stakeholders sharing a common vision. Additionally, as we enter the digital era in healthcare, we must help lead this charge for the benefit of our cardiology and oncology patients. Bolstering collaborations in cardiology and oncology is key, in partnership with technology firms, industry, academia, and private practice, with an emphasis on various forms of innovation. The ultimate goal is to connect our patients and their health to informatics-based opportunities to advance cardiovascular disease prevention in cancer patients. We have established the Cardiology Oncology Innovation Network in accordance with this vision, to develop new care delivery options through the use of innovative technological strategies. Our tripartite mission - innovation, collaboration, and education - aims to increase access to and expertise in digital transformation to prevent cardiovascular diseases in cancer patients. Here we describe network initiatives, early accomplishments, and future milestones.
Keyphrases
- healthcare
- cardiovascular disease
- palliative care
- artificial intelligence
- end stage renal disease
- quality improvement
- ejection fraction
- newly diagnosed
- public health
- chronic kidney disease
- mental health
- clinical practice
- cardiac surgery
- big data
- machine learning
- health information
- prognostic factors
- papillary thyroid
- type diabetes
- cardiovascular risk factors
- primary care
- peritoneal dialysis
- health insurance
- social media
- deep learning
- coronary artery disease
- cardiovascular events
- squamous cell
- pain management
- risk assessment
- electronic health record
- thoracic surgery
- human health