DOC Data

DOC Data transforms static information from full-text articles into interactive, highly-structured evidence databases. The resulting digital data is easily accessible through a secure, web-based environment. DOC Data is the only platform that separates term merging and management work from the evidence database, enabling multiple teams to work from a central and verified high-quality database.

DOC Data is the only platform that separates term merging and management work from the evidence database, enabling multiple teams to do their work from a central, verified high-quality database.

Integrated R statistics can be run directly in the online evidence database, including the formatting of complex deliverables, with the touch of a browser return. Clients can run full Bayesian and other statistical analyses directly integrated with the data in the browser, or do things as basic as formatting voluminous evidence tables for immediate export. DRE also has a rigorously trained staff that can take on these tasks with client guidance, see the Services page for more information.

DOC-Data-web-side-pannel

Advantages of using DOC Data

Dynamic. 

The flexible architecture of the Doctor Evidence platform accommodates rapid changes in the research landscape: studies can be added or subtracted to a meta-analysis in minutes rather than hours or days, and scheduling quarterly search updates allows for literature monitoring.

Transparent.

A highly structured and multilayered Ontology Management System that allows the capture of data exactly as reported by authors, with a late binding architecture that allows for localized use of the analysis to various stakeholder types and geographies.

Compliant.

DRE analytical software is fully compliant to the stated methodology standards of all leading EBM entities, including the National Academy of Medicine and Cochrane, keeping databases ready at all times for efficient market response.

Reviews
  • Rapid Assessment
  • Systematic Literature
  • Competitor Label
  • Focused Literature
  • Payer Dossier

Analyses
  • Clinical Analytics
  • Network Meta-Analyses
  • Economic Assessment
  • Medical Writing
  • Scientific Publications

DOC Data main features: