This year at the 2014 Accountable Care & Health IT Strategies Summit in Chicago, our CMO Terry Fouts moderated a discussion on community analytics. Dr. Fouts hosted the panel with Louis Ralofsky, Director Clinical Operations of eQHealth Solutions and Abha Agrawal, MD, VP, Medical Affairs and COO of Norwegian American Hospital.
Dr. Fouts kicks off the discussion by giving an overview of the current state of big data by using some unique comparisons.
First, he compares big data to a bucket of chicken — the bucket is filled with wings and breasts but no matter how much you shake the bucket, you can’t re-create a full chicken. Big data can’t always be aggregated into something meaningful.
Next he discusses the “Big Blue Object,” and how the future of healthcare could involve IBM’s Watson running decision making to avoid errors within the healthcare industry.
Lastly, Dr. Fouts explores what he calls the “dark cockpit problem.” These days pilots receive an immense amount of data and have to interpret and apply it in real time – which is very similar to healthcare industry where we must determine in real time what is actionable data and what is just noise.
Watch Dr. Fouts discuss the bucket of chicken, the big blue object and the dark cockpit problem here.
Get our take on industry trends
Proactively predicting ER visit trends with augmented analytics to improve revenues, asset utilization and patient outcomes
Mission critical emergency departments (EDs) are the most valuable revenue generating asset for hospitals. While visits decreased during the pandemic,…Read on...
Conversations at HIMSS23
HIMSS23 was nothing short of outstanding. I was thrilled to see the familiar faces of colleagues and clients, mingle with…Read on...
Best practice tools to build an integrated approach to multimorbidity
The traditional model of treating single diseases no longer works. Data collected from 2016 to 2019 indicated that 32.9% of…Read on...
Will adopting a risk-based approach with augmented analytics support care gap closure?
A common challenge for healthcare systems is how to properly segment its patient populations based on risk profiles and co-morbidities. Doing this well ensures a high quality of care delivery and superior patient outcomes.Read on...
Leave a Comment