AI Assistant app Overview: Difference between revisions
No edit summary |
No edit summary |
||
| Line 3: | Line 3: | ||
The AI Assistant app offers a comprehensive suite of tools to streamline Regulatory Affairs and Quality Assurance processes for medical device companies. Here's a breakdown of its key functionalities: | The AI Assistant app offers a comprehensive suite of tools to streamline Regulatory Affairs and Quality Assurance processes for medical device companies. Here's a breakdown of its key functionalities: | ||
Trend Analysis and Reports (AI Analysis Assistant): | |||
* Personalized Search: Effortlessly search through various datasets relevant to medical devices, including medical journals, warning letters, adverse event reports, and regulatory filings. | |||
* Customizable Data Sources: Gather information from a wide range of sources, including local files, network drives, user interfaces, websites, openFDA APIs, CDC APIs, and more. | |||
* Natural Language Processing (NLP): Utilize Google Gemini LLM to formulate search queries using natural language, making the process intuitive. | |||
* Data Correlation: Run powerful correlation analysis across different data categories, identifying potential trends and patterns within medical device safety and performance. | |||
* Data Tracking and Reporting: Save and track collected data for in-depth trend analysis and generate reports in various formats like PDF, Word, CSV, XLS, and JPEG. | |||
Complaint Reportability Estimation (AI Complaints Assistant): | |||
* Effortless Complaint Input: Submit complaints through the user interface (UI) or upload them directly from Word or PDF files (local or network). | |||
* NLP-powered Reportability Index: The AI estimates the reportability of a complaint based on pre-configured criteria and NLP analysis, helping determine if an FDA Form 3500 needs to be submitted. | |||
* Traceable Reasoning: The assistant provides clear explanations for its reportability estimations, referencing the specific data points and regulations used in the evaluation. | |||
* Real-time and Batch Processing: Supports both real-time analysis for immediate complaint intake processing and batch mode for retrospective analysis of existing complaint data. | |||
* Flexible Output:** View the reportability assessment with reasoning on the UI or export it to supported file formats. | |||
Risk Assessment Assistant (AI Risk Assistant): | |||
* Streamlined Data Mining: Extract targeted data from diverse sources, tailored to uncover crucial insights on common potential hazards related to usability, manufacturing, design, and other key areas. | |||
* Probability Estimation: The AI assistant can assist in estimating the likelihood (P1 and P2) of potential risk scenarios arising from device use. | |||
* Benefit-Risk Analysis Support: Facilitate a comprehensive benefit-risk analysis for your medical device, ensuring a clear understanding of potential advantages and drawbacks. | |||
* Regulatory Support:** Generate product safety update reports, clinical evaluation plans, and regulatory submissions with greater efficiency. | |||
* Risk Assessment Frameworks: The assistant supports various risk assessment frameworks, including Process Hazard Analysis (PHA) and Failure Mode and Effect Analysis (FMEA) for design, usability, and process-related risks. | |||
This AI assistant empowers medical device companies to work more efficiently in RA and QA activities, promoting a data-driven approach to ensure medical device safety and regulatory compliance. | This AI assistant empowers medical device companies to work more efficiently in RA and QA activities, promoting a data-driven approach to ensure medical device safety and regulatory compliance. | ||
== Getting started == | == Getting started == | ||
* AI | * AI Analysis Assistant | ||
* AI Complaints Assistant | * AI Complaints Assistant | ||
* AI Risk Assistant | * AI Risk Assistant | ||
Revision as of 04:55, 7 April 2024
AI Assistant app for Medical Device Regulatory Affairs and Quality Assurance.
The AI Assistant app offers a comprehensive suite of tools to streamline Regulatory Affairs and Quality Assurance processes for medical device companies. Here's a breakdown of its key functionalities:
Trend Analysis and Reports (AI Analysis Assistant):
- Personalized Search: Effortlessly search through various datasets relevant to medical devices, including medical journals, warning letters, adverse event reports, and regulatory filings.
- Customizable Data Sources: Gather information from a wide range of sources, including local files, network drives, user interfaces, websites, openFDA APIs, CDC APIs, and more.
- Natural Language Processing (NLP): Utilize Google Gemini LLM to formulate search queries using natural language, making the process intuitive.
- Data Correlation: Run powerful correlation analysis across different data categories, identifying potential trends and patterns within medical device safety and performance.
- Data Tracking and Reporting: Save and track collected data for in-depth trend analysis and generate reports in various formats like PDF, Word, CSV, XLS, and JPEG.
Complaint Reportability Estimation (AI Complaints Assistant):
- Effortless Complaint Input: Submit complaints through the user interface (UI) or upload them directly from Word or PDF files (local or network).
- NLP-powered Reportability Index: The AI estimates the reportability of a complaint based on pre-configured criteria and NLP analysis, helping determine if an FDA Form 3500 needs to be submitted.
- Traceable Reasoning: The assistant provides clear explanations for its reportability estimations, referencing the specific data points and regulations used in the evaluation.
- Real-time and Batch Processing: Supports both real-time analysis for immediate complaint intake processing and batch mode for retrospective analysis of existing complaint data.
- Flexible Output:** View the reportability assessment with reasoning on the UI or export it to supported file formats.
Risk Assessment Assistant (AI Risk Assistant):
- Streamlined Data Mining: Extract targeted data from diverse sources, tailored to uncover crucial insights on common potential hazards related to usability, manufacturing, design, and other key areas.
- Probability Estimation: The AI assistant can assist in estimating the likelihood (P1 and P2) of potential risk scenarios arising from device use.
- Benefit-Risk Analysis Support: Facilitate a comprehensive benefit-risk analysis for your medical device, ensuring a clear understanding of potential advantages and drawbacks.
- Regulatory Support:** Generate product safety update reports, clinical evaluation plans, and regulatory submissions with greater efficiency.
- Risk Assessment Frameworks: The assistant supports various risk assessment frameworks, including Process Hazard Analysis (PHA) and Failure Mode and Effect Analysis (FMEA) for design, usability, and process-related risks.
This AI assistant empowers medical device companies to work more efficiently in RA and QA activities, promoting a data-driven approach to ensure medical device safety and regulatory compliance.
Getting started
- AI Analysis Assistant
- AI Complaints Assistant
- AI Risk Assistant