AI Assistant app Overview: Difference between revisions

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== Getting started ==
== Getting started ==
* [[Installation and Licensing]]
* [[AI-Analysis-Assistant]]
* [[AI-Analysis-Assistant]]
* [[AI-Complaint-Assistant with prompt]]
* [[AI-Complaint-Assistant with prompt]]
* [[AI-Complaint-Assistant for document]]
* [[AI-Complaint-Assistant for document]]
* [[AI-Risk-Assistant]]
* [[AI-Risk-Assistant]]

Revision as of 09:30, 7 April 2024

AI Assistant app for Medical Device Regulatory Affairs and Quality Assurance.

Here's a breakdown of the AI Assistant app key functionalities:

Trend Analysis and Reports (AI-Analysis-Assistant):

  • Search through various datasets, such as medical journals, warning letters, SOTA standards, adverse event reports, and regulatory filings.
  • Gather information from a wide range of sources, such as local files, network drives, user interface, websites, openFDA databases, other public APIs.
  • Natural Language Processing (NLP) to formulate search queries intuitively.
  • Run powerful correlation analysis across different data categories, identifying trends and patterns about device safety and performance.
  • Save and track collected data for in-depth analysis and create reports in various formats including PDF, Word, CSV, XLS, and JPEG.

Complaint Reportability Estimation (AI-Complaints-Assistant):

  • Enter complaints through the user interface or upload them directly from Word or PDF files (local or network).
  • AI-powered reportability assessment will estimate the reportability of a complaint based on pre-configured criteria and NLP analysis.
  • Clear explanations for reportability estimations, referencing the specific data points used in the predictive reportability evaluation.
  • Real-time and batch processing assists with immediate complaint intake processing and retrospective analysis of old complaint data.

Risk Assessment Assistant (AI-Risk-Assistant):

  • Extract data from disparate sources to uncover hidden insights about hazards and safety trends related to usability, manufacturing, design, and other key aspects.
  • Assistance with estimating the likelihood (P1 and P2) of potential risk scenarios arising from device use.
  • Assistance with Benefit-Risk Analysis ensuring a clear understanding of potential advantages and drawbacks.
  • Assistance with product safety update reports, clinical evaluation plans, and regulatory submissions with greater efficiency.
  • Assistance with Process Hazard Analysis (PHA) and Failure Mode and Effect Analysis (FMEA) for design, usability, and process-related risks.

The AI Assistant empowers RA and QA professionals to work more efficiently and consider factors from hundreds of thousands of data points, promoting a data-driven approach to premarket regulatory compliance and post market surveillance.

Getting started