Healthcare Over the past decade the increased usage of
electronic health records has produced vast amounts of clinical data that is now computable. Predictive informatics integrates this data with other datasets (e.g., genotypic, phenotypic) in centralized and standardized data repositories upon which predictive analytics may be conducted.
Pharmaceuticals The
biopharmaceutical industry uses predictive informatics (a superset of
chemoinformatics) to integrate information resources to transform data into knowledge in order to make better decisions faster in the area of drug lead identification and optimization.
Systems biology Scientists involved in
systems biology employ predictive informatics to integrate complex data about the interactions in biological systems from diverse experimental sources.
Other uses Predictive informatics and analytics are also used in financial services, insurance, telecommunications, retail, and travel industries. ==See also==