Research and Training on Healthcare Analytics & Leadership
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.
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.
When Delos “Toby” Cosgrove, MD, president and CEO of Cleveland Clinic, was a high school junior, his father took him to visit a family friend who was a college professor.
“Naturally, the conversation turned into, ‘What do we need to do to get Toby into college,'” Dr. Cosgrove told the audience during a keynote at Becker’s Hospital Review’s 8th Annual Meeting in Chicago. Rhoda Weiss, PhD, speaker, author, consultant and co-chair of the meeting, moderated the conversation. The professor said he was not interested in Dr. Cosgrove’s IQ, but rather his GQ — a term that neither Dr. Cosgrove nor his father had heard before.
Dr. Shafiq Rab, CIO of Rush University Medical Center in Chicago, uses his background in public health to inform his IT vision.
Dr. Rab, who completed his medical degree and internal medicine residency at Karachi, Pakistan-based Dow Medical College, had his interest in public health piqued during one of his first physician jobs. While treating an urban squatters settlement in Pakistan, he worked with non-governmental organizations to address the infant mortality rate, mainly by bringing clean drinking water to its residents.
Read more at Becker’s Health IT & CIO Review
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?
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.
With high-deductible health plans increasing in popularity, cost and accountability for outcomes will become more important to consumers seeking medical providers. Additionally, provider organizations managing risk-based contracts will have additional motive to increase transparency to earn trust and instill loyalty with patients.