Category

Medical

One Man’s Journey from Obesity to Health

By | Blog, fitness, fitness motivation, Health, Healthy lifestyle, how to be healthy, Medical, men's health, Mobile applications, personal trainer | 3 Comments

Growing up as a young African – American male in the inner city, the food options were like moving through a minefield of empty calories, high fat content and next to zero nutritional value.  A diet like this could only lead to poor health.  Have it your way: diabetes, hypertension, obesity, heart disease — the list goes on.  While some may judge this as an excuse, there is profound truth in the saying “we don’t know what we don’t know.”  I was simply doing the only thing I knew:  eating junk food as a staple, which I did for nearly…

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My Life as a Type 1 Diabetic — Transformed by Technology!

By | Blog, Chronic health conditions, Continuous Glucose Monitor, Data, Diabetes, Disease Management, Glucose Monitor, Health, Health Innovations, Health Outcomes, Healthy lifestyle, Insulin, Insulin Pump, Medical, Medication, Patient Activation, Patient education, Patient Engagement, Patient Understanding, Type 1 Diabetes Mellitus | 3 Comments

Diabetes care, management and health outcomes have undergone a complete transformation over the last 50 years.  From diagnosis, to blood glucose monitoring, to medications, medical technology now offers many options that give diabetics the freedom to live more active and productive lives.  Tracey Long, a type 1 diabetic diagnosed in 1982, shares her personal story underscoring how important technology has been in allowing her to live her life to the fullest. Since 1982 when, at the age of eight, I learned I had Type 1 diabetes, the disease has been a constant in my life.  Back then, I followed the…

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Leveraging Big Data in Healthcare

By | Big Data, Blog, Data, Digital Health, EHR, Health, Health Innovations, Hospitals, Medical | 2 Comments

Big data analytics and clinical decision support is the wave of the future in healthcare and is already taking shape.  The industry has vast amounts of data it generates, and to date, most has been stored as hard copies or in unstructured formats rather than in easily usable digitized formats.  This data includes clinical data, written notes and prescriptions, medical imaging, labs, insurance information, demographic and administrative data, sensor data from vital sign monitoring, and information from social media streams.. Information explosion Some reports note that in 2011, the US healthcare system’s data reached 150 exabytes.   At this rate of…

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How I’m Thriving — In Spite of Living with Chronic Health Conditions!

By | Blog, Chronic health conditions, Health, Healthy lifestyle, Medical, Patient Activation, Patient education, Patient Engagement, Patient Understanding | One Comment

How do you achieve work-life balance while living with chronic health conditions?  This is a great question which I have been asked on many occasions — and one I used to often ask myself. For the past 10 years, my health has been up and down.  My autoimmune system is on fire and always seems to be causing inflammation throughout my body. My doctors call it the “grey area”, not able to identify the real cause of all my chronic health issues. I have struggled with microscopic colitis, fibromyalgia, and osteoporosis, just to name a few! I always considered myself…

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Mobile apps and Patient Engagement

By | Blog, Data, Digital Health, Medical, Mobile applications, Patient Activation, Patient education, Patient Engagement, Patient Understanding | One Comment

In medical education, it is often taught that clinical reasoning and judgment should support any orders for diagnostic tests to be completed. That is, the key question to ask when placing an order is: What do you plan to do with the test result? If you can’t come up with an answer, then reconsider ordering the test. If we think back to grade school science class, this is like a small-scale application of the scientific method in every clinical scenario: make observations, develop hypotheses, collect data, see how the results compare to the hypotheses, then refine and repeat as needed….

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