Health Data Refinery | Fullsteam Health

We decided that poor data quality needed to be fully addressed for the good of healthcare forever. Many healthcare organizations today are burdened by data cleansing and grouping issues with large-scale, time-consuming projects to establish and maintain healthcare enterprise data pipelines.

Fullsteam has emerged as a beacon of hope with its fully automated Health Data Refinery empowering data-driven decisions with curated, high-quality data.

Data Extraction

Our automated process begins with systemic coordinated extraction of healthcare data from canonical data sources.

Data Cleaning & Normalization

Data are continually cleansed, normalized, and standardized ensuring consistency without fakes, errors, duplicates, and irrelevant information.

Data Management & Grouping

Data and metadata are mapped into meaningful hierarchies across clinical and administrative concepts.

Continual Quality Monitoring

Our pipeline continually assesses the integrity and quality of data and metadata alerting to variations and anomalies in the data, ensuring it remains highly reliable.

Destination & Consumption

Our automated process empowers users with quality, actionable data to power dashboards to decision support tools.