Big Data: A bucket of chicken, a big blue object and a dark cockpit

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.  

Posted in

MedeAnalytics

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Leave a Comment





Get our take on industry trends

How to help employer groups plan in a time of uncertainty

June 15, 2020

Employers and their sponsored health plans are thinking about next year’s benefit designs with a significant challenge not seen before: the effect of the coronavirus pandemic. There are important considerations to take into account before making any decisions about new or existing coverage. Becky Niehus, a director of Product Consulting at MedeAnalytics, explores these new issues and what employers can do to ensure employees are “covered.”

Read on...

Healthcare’s return to “normal” after COVID-19: Is it possible?

June 9, 2020

As providers determine how to get patients to return to facilities for routine disease management and preventive screenings, opportunities are ripe for the application of analytics to triage at the right time to the right setting. Data related to COVID-19 will continue to flow rapidly, but there are possibly more questions than answers now about a return to “normal.”

Read on...

Avoid COVID-19 modeling pitfalls by eliminating bias, using good data

June 2, 2020

COVID-19 models are being used every day to predict the course and short- and long-term impacts of the pandemic. And we’ll be using these COVID-19 models for months to come.

Read on...

Population Health Amid the Coronavirus Outbreak

May 19, 2020

In speaking with many colleagues throughout the provider and payer healthcare community, I’ve found an overwhelming sense of helplessness to the outbreak’s onslaught. This is exacerbated by the constant evolution of reported underlying medical conditions that indicate a higher risk of hospitalization or mortality for a coronavirus patient.

Read on...