AI Assistant app Overview: Difference between revisions
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* Save and track collected data for in-depth analysis and create reports in various formats including PDF, Word, CSV, XLS, and JPEG. | * Save and track collected data for in-depth analysis and create reports in various formats including PDF, Word, CSV, XLS, and JPEG. | ||
'''Complaint Reportability | '''Complaint Reportability (AI-Complaints-Assistant):''' | ||
* Enter complaints through the user interface or upload them directly from Word or PDF files (local or network). | * 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. | * AI-powered reportability assessment will estimate the reportability of a complaint based on pre-configured criteria and NLP analysis. | ||
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* Real-time and batch processing assists with immediate complaint intake processing and retrospective analysis of old complaint data. | * Real-time and batch processing assists with immediate complaint intake processing and retrospective analysis of old complaint data. | ||
'''Risk Assessment | '''Risk Assessment (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. | * 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 estimating the likelihood (P1 and P2) of potential risk scenarios arising from device use. | ||
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* Assistance with Process Hazard Analysis (PHA) and Failure Mode and Effect Analysis (FMEA) for design, usability, and process-related risks. | * Assistance with Process Hazard Analysis (PHA) and Failure Mode and Effect Analysis (FMEA) for design, usability, and process-related risks. | ||
'''Documentation | '''Documentation Templates (AI-Documentation-Assistant):''' | ||
* Create documentation templates for medical device files containing guidance information. | * Create documentation templates for medical device files containing guidance information. | ||
* Improve team efficiency and promote consistency within the medical device files. | * Improve team efficiency and promote consistency within the medical device files. | ||
Revision as of 18:43, 8 April 2024
AI Assistant app for Medical Device Regulatory Affairs, Quality Assurance, and R&D professionals.
The AI Assistant app empowers medtech 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.
We invite all community members to contribute to this wiki! It's a space created for everyone using the AI Assistant to share helpful resources. Your contributions will enhance the quality, reliability, and collaboration among users, benefiting us all.
Here's a breakdown of the AI Assistant app key capabilities:
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 (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 (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.
Documentation Templates (AI-Documentation-Assistant):
- Create documentation templates for medical device files containing guidance information.
- Improve team efficiency and promote consistency within the medical device files.
- Assistance with identifying required content based on applicable regulations and state-of-the-art standards.
- Content guidance based on well established quality standards and regulations such as FDA cGMP, ISO 13485:2016, ISO 14971:2019, IEC 62304, IEC 62366, IEC 60601 series, ISO 15223-1, ISO 10993 series, ISO 14155, IEC 81001-5-1, and EU MDR/IVDR