Applying Predictive Analytics: The Role of Artificial Neural Networks in Predicting Alzheimer’s Disease
This monthly blog highlights and discuss emerging trends and challenges related to healthcare data and its ever changing life cycle. By Kapila Monga The phrase “Longevity Revolution,” referring to the increase in human life expectancy by 30 years, isn’t new anymore. Various books have been written on this subject, and it is a widely discussed topic in conferences these days. It is a no-brainer that this increase in life expectancy...
We have an opportunity in the electronic world to provide more relevance to the exchange of clinical data and to ask ourselves questions such as, “What information should be pulled from other healthcare organizations?” and “When does ‘old’ become ‘too old’?”
Today, the idea of a centralized repository storing all components of a patient’s health record is quite elusive. In fact, there can be many “sources of truth” where a user has to access all components of the patient’s legal health record.
As instructors, one of the most common questions we receive about data analytics is, “How do I get started with data analytics?”
Understanding the cost of prescription drugs can be challenging. The recently introduced CMS Medicare Spending Dashboard, an example of the principle of collecting healthcare data once and reusing it to serve the needs of multiple stakeholders, helps users to make sense of this information.
It is no longer an acceptable practice to ask for information and not do anything with it. HIM professionals can help healthcare get to the next stage.