Category Archives: Radiology Innovation and Quality

Disruptive innovation! Six-sigma! DMAIC! Sustainable growth rate!  These are words people throw around, but it’s the idea that counts, not just the acronyms.

Innovation – The Missing Link in Healthcare Quality?

Image credit: mindwerx.com

Fifteen years after the publication of Institute of Medicine’s landmark report To Err is Human, healthcare process improvement (PI) is finally beginning to take root.  Quality improvement (QI) has become a pillar of healthcare for both academic clinicians and private practice alike.

The workhorse of the Donebedian adage of “structure + process =  outcome” is on standardization.  In a world of static, well-defined products, proper application of PI can dramatically reduce variability.

While incremental improvement continues to be necessary in healthcare – we are a long way away from a six-sigma industry – continued standardization and scientific research alone are no longer sufficient to evolve healthcare.

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When IBM Watson Looks – Does It See Pictures or Patients?

This TV commercial caught my attention a few days ago.

In the TV spot, the narrator outlines the number of images a radiologist must parse through to find an abnormality. To help, IBM will teach its Watson “to see.”

Therein lies the problem: Seeing is not enough. Continue reading

The Natural Progression of Radiology as A Business Practice

The terminal destination of all products and services is commoditization.  So that’s a simple answer, though one that’s not all that simple.  The management journal Harvard Business Review dedicates several classic articles on the process of commoditization, including global competition, process modularization, and, simply, the natural resting place of a mature product.

So where does radiology sit in the natural growth process?  More importantly – as junior residents – what have we gotten ourselves into?

Where is radiology in the natural growth progression?

Credit: http://bigideabiology.wikispaces.com/ED+2.C

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Is Radiology Ready for The Cloud?

Taking radiology to the cloud is not a new concept. It has already been discussed here and here, with lowest hanging fruit use-case being cross-institutional image sharing.

The excitement for cloud is certainly abuzz in the non-healthcare market. Several days ago, @TheEconomist tweeted a message ending with “the whole IT business will change.” They were referring to the maturing migration of technology into the cloud.

What caught my eye was not the tweet itself, but the accompanying graphic, illustrated by Satoshi Kambayashi.

From @TheEconomist. Copyright belongs to illustrator

A winged piggy bank with the General Electric logo receives a boot in the loin, eyes wide open with surprise as if he didn’t see it coming at all. General Electric, of course, is one of the biggest vendors in radiology hardware.

So are radiology practices ready to kick GE, too?

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Robots and Radiologists

In an article titled “The Robot as Radiologist,” Dr. Douglas Green from Univ. of Washington acknowledges the rapid advances in computational image recognition and advent of IBM’s Watson.  He concludes the commentary by taking solace in the fact that, at least for the time being, artificial intelligence is complementary rather than substitutional to human radiologists.  I wholeheartedly agree.  However, Harvard Business Schools gurus do not.

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The Meaning of Version 2.0

drawing

Version 2.0 is a good thing. Except when it’s not.

Being 2.0 means embracing something brand new, something different, revolutionary, totally revamped from the old 1.0 that’s just not as good. It’s simple math, really. 2.0 is twice of 1.0.

The terminology we use for what software developers call a “major version release” is a popular way to address all things new and cool. For instance, in 2010, Justin Bieber released his My World 2.0 album, charming fans world-wide with the #1 hit Baby.

In health care, we also like new versions. Typically used to describe a move towards all-digital access, a post on The Health Care Blog describes the evolving wave of patient self-scheduling methods as “2.0.” An Academic Radiology paper describes radiology education using computing devices over paper as “Radiology Education 2.0.” Even an iTunes app providing a set of emergency radiology teaching cases calls itself Radiology 2.0 (incidentally, because the software is in its first release, the app is actually “Radiology 2.0 v1.0”).

In fact, versioning in health care is so popular that when The American College of Radiology decided to push a new approach to imaging, it decided to skip 2.0 and start with Imaging 3.0.

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Dan Ariely on Conflicts of Interest

On a previously post I became interested in financial conflicts of interest (COI) and disclosure.

COI is not restricted to financial incentives. It also doesn’t have to be a boring topic. Dan Ariely in a TedTalk below discussed perils of COI in academia with compelling anecdotes.

On The NRMP Residency Match, And What People Meant by “It’ll All Work Out”

The optimal solution of the NRMP match algorithm is deceptively simple, but its implication for the lives of applicants is anything but simple.

Three years ago, my then-girlfriend and I sat down and parsed through what would become the most important determinant of our lives moving forward.

Because we attended different medical schools, we carried on a long distance relationship for five years. The NRMP match was more than just a residency choice. It was also a solution that could finally close our distance and take the relationship forward again.

The ranked list seemed like the most difficult decision we had to make. There were so many variables, each with differing levels of importance.

match

Icons made by Freepik from www.flaticon.com is licensed under CC BY 3.0

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Disclosures – on Financial Conflicts of Interest

Conflicts of interest in medicine…

  1. Sometime leads to academic dishonesty
  2. Is pervasive
  3. Is probably unavoidable in the absence of infinite non-profit grants
  4. All of the above

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Measure Differently to Think Differently

Credit: Innovation by Boegh, licensed by Creative Commons

There are many forms of innovations.  Sometimes medical innovation is nanotechnology, molecular imaging, high-precision targeted therapy, or 3D-printed prosthetic, which are advancements whose adaptation rate are limited by the rate of research.  This is a good thing.

And then, there exists technology that has become commonplace in every other industry but is still considered “innovation” in medicine due to their glacial adaptation rates in hospitals and clinics.  Case in point: When was the last time you saw a pager that doesn’t belong to a healthcare provider?

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