Artificial Intelligence
While traditionally deeply skeptical of artificial intelligence in clinical settings, in today's fast-changing care delivery landscape many physicians are thinking more proactively about how AI can improve quality and patient experience.
Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.
As we have heard repeatedly over the past few months, there is a need to think of managing this pandemic in the same way we prepare for a marathon rather than a sprint, says Dr Charles Alessi, chief clinical officer, HIMSS.
Data science and clinical teams at PCCI, in collaboration with Parkland informaticists, have developed an AI-driven predictive model that predicts for individual COVID-19 exposure risk, based on population density and their proximity to positive cases.
A healthcare system in which stakeholders share, adopt and apply medical knowledge in real time enables improved care, accelerated workflows, streamlined business processes and a better balance of resources with demand.
The UK and the EU should 'work as one' to further the deployment of AI in healthcare, writes Dr Layla McCay, director of international relations at the NHS Confederation.
It's hard for me to believe, but I’ve been at Penn Medicine for 13 years. There has been a remarkable amount of change, growth, and learning that has occurred both within my organization and in myself during this time.
Fundamental issues related to executive support, staff buy-in and patient risk stratification need to be understood and addressed before machine learning applications can help with population health goals.
HIMSS chief clinical officer Charles Alessi looks at the role of AI in the digital transformation of health and care.
When EHRs can learn – gather and remember – what works best for each user, they can attain maximum efficiency.
