An investigative data analysis and decision support system, DataProbe® enables analysts, researchers, investigators and other knowledge workers to rapidly perform complex, multi-step, iterative investigation on various types of detail data from different sources. DataProbe is primarily used to manage and swiftly analyze large volumes of detailed health-related data to support research, investigation, and decision making.

With DataProbe, non-programmers can quickly create and analyze large databases. It is designed for knowledge producers who need to perform exploration and analysis of data patterns without having to rely on a programmer or on someone with special expertise to get the job done. Clinicians, nurses, claims examiners, healthcare and research analysts can all build databases that enable them to efficiently integrate and access large volumes of claims detail, eligibility, administrative, discharge abstract, vital statistics, survey, workers’ compensation, absence, short-term disability, welfare, external benchmark, census, birth records, UCR, and other similar data, without needing to burden the IT department or other intermediaries.

Benefits

DataProbe is an all-inclusive system that enables healthcare analysts and researchers, independent of any assistance from others, to:

  • Load data quickly, easily, and incrementally
  • Integrate any number of data sources, of any type
  • Have direct, PC-based access to all of the underlying detail data
  • Create custom fields and perform extensive data selection, complex transformations, aggregation, cross-tabulation, and rate-based analysis“on-the fly” without programming
  • Perform “on-the-fly” linkage between multiple data types, such as medical claims, long and short term disability claims, worker’s compensation claims, drug data, and so on, optionally constrained by time windows defined in relation to sentinel events
  • Easily identify populations of interest
  • Perform in-depth, multi-step, open-ended “train-of-thought” exploration of data patterns
  • Experience much greater processing speed when working with multi-gigabyte data sets
  • Be protected from “runaway” queries
  • Automate repetitive processes using built-in scripting