Fullsteam Health

In an era where AI, machine learning, and analytics are set to generate efficiencies in healthcare, the barrier to their success lies in the poor-quality data they ingest. A simple example: In EHRs, standardization is often only at the level of a single EHR but data comes from many different source systems, meaning that there are different representations of the same thing. Take the same exact pill having different names (ACET TAB 500 MG; ACETAMINOPHEN 500 MG TABLET; TYLENOL XS; Tylenol Extra Strength Tabs). This simple example is why it is hard to get a clear answer to “how many peoples received Tylenol last week?”
Transforming the substandard data into reliable, actionable data is the only way to generate the value in clinical or operational decision-making. Enter our Health Data Refinery, a first-of-kind solution that automates the refinement of healthcare data into curated and actionable form.
Conceived and designed at Duke since 2016, our platform stands alone at the forefront of data curation. It is the foundational layer of healthcare analytics, transforming the inconsistencies and incompleteness of data, that health systems manually seek to solve for every data initiative, into data that is continually cleaned and normalized, mapped and grouped, and monitored.
With our Health Data Refinery, health systems can unlock the true potential of their data, ensuring every decision is informed by reliable and reproducible data.
We don't just solve the data quality problem; we enable health systems to redefine the possibilities of healthcare data & analytics, providing consistent high-quality data allowing for high-quality decisions to be made.