A recent healthcare information research event explored the role of master data management in supporting research, care coordination and health information exchange. Take a look at the interaction that transpired and validates the importance of matching patient data to clinical records.
I’ve been trying to delve into a topic I normally avoid—clinical trials. But it’s not about how clinical trials are run, or how to design one. I’m more interested in what happens to clinical trials data once they are completed.
Do folks actually mine their clinical trial archive for insights?
Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. Within IBM, big data spans four dimensions: volume, velocity, variety and veracity. At The Big Data Institute (TBDI), big
Using big data analytics to save the lives of newborns. There are a range of diseases and syndromes in newborns that, if undetected and untreated, can be fatal or debilitating. For example, phenylketonuria (PKU), an amino-acid metabolic disorder, can lead to severe developmental issues.
For the past few years, healthcare transformation discussions have centered around EMR adoption, data exchange and interoperability. As we conquer EMR adoption and begin to see the fruits of data exchange (albeit slowly), the conversation swings to analytics to inform and transform clinical and
Among healthcare executives interviewed for the 2010 IBM Global CEO study, 90% expect a high or very high level of complexity of data over the next five years, but more than 40% are unprepared to deal with it. The volume, velocity and variety of data are outpacing the ability for healthcare