Eric Yablonka, VP & CIO, University of Chicago Medicine, Chapter 1

Eric Yablonka, VP & CIO, University of Chicago Medicine

About University of Chicago Medicine
Phoenix Project: multi-year Epic implementation
Phased approach vs big bang
“You’re often stuck in a hybrid environment between systems.”
Focus on optimization
Closed staff model
Bench to bedside research: “It really is a team sport.”

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Fernando Martinez, SVP & CIO, Parkland Hospital & Health System, Chapter 1

Fernando Martinez, SVP & CIO, Parkland Hospital & Health System

About Parkland
“Primarily an Epic shop”
Attesting to MU stage 2
Safety net hospitals & care transitions
Parkland Center for Clinical Innovation (PCCI)
Reducing readmissions using predictive analytics
Focus on innovation — “I feel very privileged to be here.”

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The Role Of Technology In Breaking Down Silos Between Finance and QI

Yiscah Bracha, PhD, AVP, QI Healthcare Analtyics, Cincinnati Children's Hospital

I have been leading the QI data analytic team at Cincinnati Children’s for more than four years.  This team has developed expertise and systems around managing data and deploying analytic methods for patient-centered improvement opportunities in areas such as safety, wait times, and disease outcomes. The QI data analytic team has never tackled cost in […]

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Matthew Chambers, CIO, Baylor Scott & White Health, Chapter 2

Matthew Chambers, CIO, Baylor Scott & White

Laying out an IT vision — “This was a great time for us to reboot.”
Epic at S&W, Allscripts at Baylor
“If it ain’t broke, don’t fix it.”
Clinician engagement — “That warms my heart”
Lessons learned along the way
The clinical architecture layer cake

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Swivel Chairs and Shared Screens: How Physical Proximity Can Boost Productivity

Yiscah Bracha, PhD, AVP, QI Healthcare Analtyics, Cincinnati Children's Hospital

“The single thing that has most boosted my productivity this year has been having Matt sit next to me.” The person speaking was one of my senior healthcare analytic professionals.  She handles the patient safety portfolio, which includes measures that are populated with “difficult data.” For example, if the goal is to reduce hospital-acquired conditions, […]

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