Research and Training on Healthcare Analytics & Leadership
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.
SAN FRANCISCO — Though it can be difficult to quantify just when a health organization has embraced analytics, but you usually can tell when its executives are engaged with the data.
“They’re excited about providing solutions to improve quality measures, improve patient outcomes,” said Joycee Berin, director of business intelligence at UCLA Health, at the Big Data and Healthcare Analytics Forum on Tuesday. “If that’s at the leadership level, I feel we’ve reached analytics maturity.”
In contrast, some in the C-suite may be stuck in old ways of thinking. They either “don’t think analytics is that important,” or else they’re “not engaged with following through on the insights and making sure we improve workflows to gain that better performance based on data insights,” she said.
In healthcare, data is king. Clinicians rely on data to make informed decisions at the point-of-care and ultimately propel patients’ health forward. However, the wealth of unstructured data captured by IT systems in hospitals may prove fruitless if physicians can’t use it to inform care decisions in real time. Analytics must be straightforward, easily digestible and accessible to help physicians personalize and improve patient care planning.
Read More at Becker’s Health IT & CIO Review
Executive Summary
Since 2014, the Healthcare Center of Excellence (HCOE) has been tracking the healthcare industry’s progress towards population health analytics using their proprietary Healthcare Transformation Change Model. This model was developed in 2013 to help healthcare organizations understand the requirements to become an analytics focused healthcare organization. The concepts were based on a customer relationship marketing (CRM) implementation model, previously co-developed by Professor Bennett. The CRM model was considered by Gartner to be one of the top three CRM implementation visions at the time and has become the basis for most successful CRM implementations today.
There is only one day before the webinar on the 2016 State of Population Health Analytics study on Wednesday, December 7th. Spaces are filling up. Please register using one of the links below.
Since 2014, the Healthcare Center of Excellence (HCOE) has been tracking the healthcare industry’s progress towards population health analytics using their proprietary Healthcare Transformation Change Model. This model was developed in 2013 to help healthcare organizations understand the requirements to become a data-enabled healthcare organization. The concepts were based on a Gartner recognized CRM implementation model Professor Bennett previously co-developed. This model was considered one of the top three CRM implementation visions at the time and has become the basis for most successful CRM implementations today . Based on the model, the HCOE determined that in 2014, the industry was just past the “EHR Implementation” stage. In 2015, the dial moved a bit further as many organizations began achieving success with integrating data sources.
How is the healthcare industry progressing towards the implementation of population health analytics?
Since 2014, the Healthcare Center of Excellence (HCOE) has been tracking the healthcare industry’s progress towards population health analytics using their proprietary Healthcare Transformation Change Model. This model was developed in 2013 to help healthcare organizations understand the requirements to become a data-enabled healthcare organization. Each year, HCOE has published their “State of Population Health Analytics“.
The 2016 survey has been completed and Professor Bennett was interviewed by Becker’s Healthcare Review for the article “4 Tips for Hospitals Implementing Population Health 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.
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.
A variety of challenges stand in the way of successfully implementing analytics in healthcare organizations. Not surprisingly, the top issues don’t always involve technology.
This finding became clear in a study conducted by the Healthcare Center of Excellence this summer, which sought to determine what are perceived to be the top challenges facing analytics.
The study reveals the importance of executive leadership skills in bringing about support of analytics and the extent to which findings from analytic efforts are incorporated into how organizations change and adapt. This aspect of leadership, while learnable, needs to happen quickly if organizations want to achieve the desired incomes from their forays into analytics.