Data silos are as big a problem as organizational silos. Failure to share data and information kills patients as surely as failure to wash hands.
Analysts spend much of their time wrangling data from disparate sources and aren’t able to use their training and skills to generate insights that would benefit the organization, and ultimately patients.
The leadership team spins its wheels rather than resolving important issues because there’s no agreed upon, reliable source of data.
Enable AI/Machine Learning
Garbage in - Garbage out! The promise of machine learning models is often thwarted by the data. Superconductive’s novel approach to data testing provides assurance that when models are deployed, they are not confused by unexpected data.