Category Archives: Big Data

The Challenges of Implementing Healthcare Analytics

An insight into predictive analytics that is the basis for real-time or near real-time decision support that is still rare among healthcare organisations.

Healthcare analytics has the potential to help identify possible 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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Certificate in Business Analytics from Northwestern University

Are you interested in a career in business analysis? According to Glassdoor’s 50 Best Jobs in America list for 2018, Analytics Manager was in the top 20. In fact, 6 of the top 50 jobs were analytics or data related. These jobs were selected based on earning potential, jobs satisfaction and number of job openings.

Start today by earning your Certificate in Business Analytics online from Northwestern University. The program is comprised of four core, 8-week courses. In under a year, you could be working in the analytics field or enhancing your current position.

Join me as I teach the Analytics Communication and Management starting January 27th. Slots are still open but register soon.

#businessanalytics #dataanalysis r


Predictive Analytics May Save Healthcare Budgets 15%, Survey Finds

Ninety-three percent of healthcare provider and payer executives agree predictive analytics are important to the future of their business, according to a Society of Actuaries report.

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It’s Time for Prescribing Leadership in Healthcare

The healthcare industry has been charged with making significant changes in the last few years. From value-based care, to population health and now precision medicine. Unfortunately, many hospital systems will not be successful due to the need for better leadership.

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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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BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

Please join me at my leadership presentation for this conference.

SAN FRANCISCO, CA

MAY 15-16, 2017


5 Must-Haves for Effective Analytics in Clinical Decision-Making

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

 


2016 State of Population Health Analytics Report

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.

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2016 State of Population Health Analytics – Webinar Reminder

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.

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The State of Population Health Analytics – 2016 Study Results & Webinar

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?

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