Category Archives: Analytics

Preview the Elite Leadership Academy

We are very excited to share the news of the rebranding of our new leadership training site – Elite Leadership Academy. In the past, we have operated under the Professional Leadership Academy, but with the expected publication in the next few months of my new book, The Path to Elite Level Leadership, we decided to change the site to match the book.

The new site features new leadership development programs, master classes, a leadership resources library and even a virtual tour of our virtual academy.

As a subscriber, we are inviting you to preview the site and also offering you 25% off any of the training in our ‘Curriculum Catalog‘ with the coupon code ’25offpreview’ until November 30, 2020.

Please take a look at it and let us know what you think about it.


The Ethics of AI in Healthcare

I’m looking to participating in this panel discussion on September 29th for #aimed. There are no #AI shortcuts to #aihealthcare. Like anything else, you have to build a solid foundation to be successful. I discuss many of these concepts in my book Competing on Healthcare Analytics and in my analytics classes at Northwestern University School of Professional Studies.

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Putting the Precision into Precision Medicine

I was invited to speak at Oxford Global’s inaugural Precision Medicine Congress, April 25 and 26 in London, England. My topic, “Big Data Analytics for Precision Medicine”, stood out from the other presentations, as intended, since I was one of few non-clinicians or genomics scientists invited to speak at the Congress but believe that as I professor and data scientist I was able to hold my own. As an added bonus, I had to pleasure to meet a ‘Sir’ and a ‘Dame’, which are knighthood titles bestowed on extraordinary subjects, in recognition of their great achievement or outstanding service to the United Kingdom. Both worked in the healthcare industry either in the public or private sectors.
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The Secret Top Executives Know About Healthcare Analytics

Executive Summary

When most people think about the challenges of implementing healthcare analytics, they wrongly expect it to be the data, talent or technology.  Executives that have been successful implementing healthcare analytics know the top challenge is leadership.  In a study performed recently, leadership was identified as the top challenge by participants.  In fact, it wasn’t even close. Leadership was identified as a challenge by 29% of the respondents versus 18% for data and 14% for talent.  Statistically, this is a huge difference.

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Need a Data Scientist? Try Building a ‘DataScienceStein’.

Organizations are finding that hiring qualified Data Scientist is a real challenge. Experienced Data Scientists are expensive and are usually employed elsewhere. This high demand, low supply economics is leading to a situation of the ‘haves’ versus the ‘have-nots’, where the larger, financially rich organizations in the ‘sexy’ industries are most capable of attracting and hiring data scientists, while the lesser companies will have to make do without one.

Organizations are looking at new approaches to finding data scientists. Some are able to attract them with more than money like autonomy and development opportunities. Others are training current staff to become more data literate through professional development programs. Once trained, these individuals typically must work 12 to 24 months at the organization or have to pay back the amount spent on their training.

There is another approach that should be considered.

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Predictive Analytics World Chicago 2016 Recap

I attended Predictive Analytics World in Chicago the week of June 20 to June 23. I met a lot of new people and was reacquainted with several other colleagues. As I listened to 2 days of workshops and the pre- and post-conference workshops, some common themes emerged. Most of these themes confirmed what I have been touching on in the presentations I’ve made at conferences over the last few years and discussed in my book, Competing On Healthcare Analytics, but it was reassuring to hear the same concepts presented by others.

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Ready to Become a Population Health Analytics Competitor?

The healthcare industry generally recognizes the need for population health management. It has the potential to save lives, improve health and save money. A key component of population health management is analytics. But, as widely accepted as the need for population health management is the fact that most don’t know where to start. A survey of healthcare executives by Stoltenberg Consulting revealed that 41% of respondents identified data analytics and business intelligence as a priority for the year 2015. The problem is that 84% of them have questions about where to start their implementation efforts.

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The Foundational Approach to Population Health Analytics

The rate of change in the healthcare industry has been staggering. From Electronic Health Records to ICD-10 to Population Health, few industries have undergone such change in such a short amount of time. The silver lining in this change is the treasure trove of digital data, which will enable providers to analyze and compare information across thousands of patients instead of relying on the anecdotal evidence they previously used.

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Six Myths About Business Intelligence

Category : Analytics , Data Management

An effective business intelligence (BI) strategy is one of the most powerful tools available to companies today. It enables companies to better monitor and track the state of the business by providing the user with actionable information which can lead to better decisions. BI provides for data consistency since it is accessed through a common platform versus the disparate applications (ERP, CRM, HR, etc.) the data is derived from. Thus the information is timelier as it is typically accessed in real-time or near real-time.

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Healthcare Predictive Analytics Will Be A Game Changer – Eventually

Category : Analytics , Healthcare

Healthcare analytics has the potential to help identify potential health risks, promote better health and deliver more accurate diagnosis and treatment plans. There are several challenges that must be overcome before healthcare can deliver on that promise.

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