The volume of available data is high, as are the many systems that store and process that data. Despite the quantity and a plethora of IT tools, organizations are faced with the “now what?” dilemma. There is a growing realization that the answer is not simply more data; rather, ensuring that existing data is accurate, complete, and accessible.
The “garbage in, garbage out” dynamic increases labor and software costs to fix missing, duplicative, or inaccurate data, since poor quality data can hinder decision making.
The COVID-19 pandemic exposed many weaknesses in the US healthcare system. Among them is the Medicaid program’s antiquated IT infrastructure. [...]
Health information exchanges (HIEs) enable data sharing among neighboring healthcare organizations such as hospitals, labs, pharmacies, and clinics – [...]
Data assessments help payers analyze the quality and completeness of their patient clinical data necessary to identify and provide care [...]
Study Linking Hypertension to Increased Risk of Dementia Highlights Need for Faster, More Actionable Data
In 2020, the world generated 2.5 quintillion (18 zeroes!) bytes of data daily. That means, on average, every human [...]
In September 2021, The Office of the National Coordinator (ONC) for Health Information Technology issued a report titled Challenges [...]