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AutoPilot™ Toolkit for Phoenix® Features

Key features of AutoPilot Toolkit for Phoenix include the following:

  • Automation workflow objects that a user will add to existing Phoenix workflows which allow to input clinical PK study data and NCA results and specify output to match your organization's SOPs and best practices.
  • Seamless execution of SigmaPlot®, Microsoft® Word and Excel® for presentation of formatted tabular and graphical output based on study data and NCA results from Phoenix® WinNonlin®.
  • Utility for covenient browsing through generated AutoPilot output objects (tables and graphs) and selecting files for use in interim or final reports or presentations. This File Explorer allows the interactive transfer of user-selected objects into new or existing Microsoft® Word documents or PowerPoint® presentations or export to the file system.
  • Administration module for easy modification of factory default settings for selected outputs, output content and formats, and business rules to efficiently implement your organization's analysis and reporting requirements.
  • Ability to save these customer-defined settings as separate configuration files (unlimited number of files may be created) for flexible reporting of a drug sponsor's PK analyses according to different study types.
  • Comparison workflow objects (e.g., plasma analyte, accumulation, absolute bioavailability) that operate on data from multiple studies using different models and generate additional display outputs.
  • AutoPilot Toolkit works for Phoenix projects stored on your local file system as well as in a controlled PK data management system based on Pharsight Knowledgebase Server? (requires Phoenix® Connect?).
  • Online Help system detailing usage instructions as well as data requirements, custom settings and output specifications.

AutoPilot Toolkit for Phoenix can automate the production of tables, text and figures based on study data and NCA results created through Phoenix WinNonlin. Typical PK studies that are supported by AutoPilot Toolkit include IV- or PO-based non-compartmental analysis and inferential statistics (e.g., bioequivalence testing) as well as comparisons between analytes, dosing regimen, or other conditions.

Study datasets can be organized as stacked or non-stacked data. Examples of common study design types that AutoPilot supports include:

  • Bioequivalence and Bioavailability
  • Drug-Drug and Food-Drug interactions
  • First-in-man
  • Dose Proportionality
  • Special Populations (e.g. renal, hepatic, age)