Automated Metadata Management
at your fingertips

ApoGI™ is an integrated, automation platform that leverages AI (Artificial Intelligence) and ML (Machine Learning) and puts focus on standards and metadata management to streamline processes and the generation of artifacts typically associated with the clinical study lifecycle.

Ensuring process/artifact consistency, streamlining and automating repetitive tasks and artifact generation to allow subject matter experts to focus on science and deriving additional value/insights from clinical trial data.

KEY FEATURES

Next generation enterprise platform
Ability to integrate and leverage data from multiple sources
Ability to anonymize the data for sharing it internally or externally in real time
Leveraging new technologies to support artifact generation from protocol to CSR.
Automated process workflows to facilitate Governance, Artifact Generation, Review / Approval / Sign-off
Availability of Structured Governance Framework to track metadata at multiple hierarchical levels
Impact Analysis/Traceability Tool (across all levels)

Key Benefits

Navigational Panel:
- Study, Doc, Repository, Strategy Application,
  and tracking of strategies applied
- Parameter-driven Risk Analysis and Data
  Utility per EMA guidance. Determine by data/
  variable or determine for entire study/project.
Strategy Application:
- Repository and “Pre-De-ID Analysis” tools
  provide methods/strategies to the user to
  leverage with confidence speeding setup and
  delivery.
View Panels:
- See datasets before/after and strategies
  applied immediately to confirm which provide
  best results for specific project. “Sync scroll”,
  summary statistics and histograms available
  to make it easier for reviewers/analysts to
  evaluate the effectiveness of applied de-ID
  strategies.
- See docs before/after with “Redaction
  Proposal” – like display. De-ID’d values are
  highlighted and easily found for review by
  either the navi panel or via drop-down menu
  directly over the doc. Annotations show how
  the value will appear (in accordance with EMA
  Policy 0070) in the final de-ID’d doc.
- See results before/after with interactive
  visualizations to identify data risks over/under
  threshold, and alternate display to view risk
  separately by quasi-identifiers/variable
Strategy Types:
- From basic “search-n-replace/redact” to ML
  & regular expressions, to leveraging of de-
  ID’d datasets, to queries and patient-specific/
  narrative strategies

KEY FEATURES

Key Benefits

Contact Us

US Head Office

India Head Office