Quoteworthy
We need to train continuously and retrain when something changes or a lot of time has passed. Everyone needs a refresher now and then to deliver a reliable experience.
Luca Boi

Most Recent
Patient Experience 101: Engaging Your Team With Data

Improvement in patient experience is often the hardest part of managers’ jobs. It takes consistent work engaging your team. There are no shortcuts. In this occasional series, we’ll be sharing the lessons learned the hard way from people working on the front lines to deliver care. In this post, Urology and Pelvic Care outpatient services manager Leslie Bardsley gives practical advice for involving your entire team in improvement.

How the Burn Trauma ICU Eliminated Central Line Infections

Is zero possible? In the case of central line infections, the answer was once no. A CLABSI (central line associated blood stream infection) was once considered a car crash, or an expected inevitability of care. When University of Utah’s Burn Trauma Intensive Care Unit started treating CLABSIs like a plane crash, or a tragedy demanding in-depth investigation and cultural change, zero became possible.

What’s a Ski Season with No Snow?

Value engineer Cindy Spangler has shared her camping and canyoneering expertise with Accelerate in the past. But this winter, her preparation may have done us in: a big purchase of new ski equipment has led to a lackluster snow season. Or has it? Cindy reviews why correlation does not imply causation.

The Science of Scheduling

Delivering a great health care experience is only possible with one crucial component: reliable scheduling. It’s such an essential part of efficient operations, in fact, that the University of Utah Health created an access optimization team to help providers across the system.

Celebrate Signal, Drown Out Noise

To celebrate the New Year, Value Engineer Mitch Cannon applied statistics to weight loss. He was quickly reminded of an important lesson that applies in health care: when you’re trying to improve, don’t overreact to data.

How to Avoid Two Common Biases

Balancing uncertainty, fear, and emotions isn’t easy — especially in health care. Family practice physician Kyle Bradford Jones looks outside of his practice to identify two common biases that affect how we behave in the face of perceived risk. His key insight? The risk that isn’t directly in front of us may be mistaken for no risk at all.

Holiday Gift Wrapping the High Reliability Way

First came High Reliability Thanksgiving. Then High Reliability Camping. In keeping with the Lean holiday spirit, Accelerate’s Marcie Hopkins shares her method for high reliability gift wrapping — with a little help from our friends in Sterile Processing, who’ve perfected the envelope fold.

Lean Behind the Scenes: Sterile Processing

Sterile Processing runs a lean operation, delivering millions of instruments to University of Utah Health’s procedural teams. Director of value engineering Steve Johnson, assisted by the video wizardry of Charlie Ehlert, sheds light on our system’s unseen infection prevention heroes.

Canyoneering Close Call: Always Have a Safety Plan

Engineer Cindy Spangler compares canyoneering and surgery and identifies a common thread: the need for high-reliability processes. She describes how surgical time-out, a quick huddle to debrief before surgery, can serve as a useful model for reducing the risk of harm in canyoneering.

A Framework to Measure Value-added Time in Health Care

The dojo welcomes guest author and senior value engineer Will McNett with a deep dive into clinic capacity utilization. McNett borrows from manufacturing to offer a framework to measure and increase what really matters to patients: time spent with their provider.

Dr. Sean Stokes on Improving Opioid Prescribing Patterns

Using improvement methodology to solve one piece of America’s opioid epidemic. Dr. Sean Stokes and team used the practice of scoping to focus on one population and one procedure to achieve manageable, measurable improvement.

Can Netflix Help Us Choose a Physician?

Dr. Kyle Bradford Jones examines the Netflix algorithm for user preference as a model for developing provider selection tools that match patient values with their care needs.