AI Assistant app Overview: Difference between revisions

From AI Assistant App
m (Protected "Main Page" ([Edit=Allow only administrators] (indefinite) [Move=Allow only administrators] (indefinite)) [cascading])
mNo edit summary
 
(21 intermediate revisions by the same user not shown)
Line 1: Line 1:
<strong>AI Assistant app for Medical Device Regulatory Affairs and Quality Assurance.</strong>
<strong>AI Assistant app for Medical Device Regulatory Affairs, Quality Assurance, and R&D professionals.</strong>


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 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.  


Trend Analysis and Reports (AI Analysis Assistant):
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 current AI Assistant app key capabilities:


* Personalized Search: Effortlessly search through various datasets relevant to medical devices, including medical journals, warning letters, adverse event reports, and regulatory filings.  
'''Trend Analysis and Reports (AI-Analysis-Assistant):'''
* 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.  
* Search through various datasets, such as medical journals, warning letters, SOTA standards, adverse event reports, and regulatory filings.  
* Natural Language Processing (NLP): Utilize Google Gemini LLM to formulate search queries using natural language, making the process intuitive.
* Gather information from a wide range of sources, such as local files, network drives, user interface, websites, openFDA databases, other public APIs.  
* Data Correlation: Run powerful correlation analysis across different data categories, identifying potential trends and patterns within medical device safety and performance.
* Natural Language Processing (NLP) to formulate search queries intuitively.
* 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.
* 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):
'''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.


* Effortless Complaint Input: Submit complaints through the user interface (UI) or upload them directly from Word or PDF files (local or network).
'''Risk Assessment (AI-Risk-Assistant):'''
* 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.
* Extract data from disparate sources to uncover hidden insights about hazards and safety trends related to usability, manufacturing, design, and other key aspects.
* Traceable Reasoning: The assistant provides clear explanations for its reportability estimations, referencing the specific data points and regulations used in the evaluation.
* Assistance with estimating the likelihood (P1 and P2) of potential risk scenarios arising from device use.
* 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.
* Assistance with Benefit-Risk Analysis ensuring a clear understanding of potential advantages and drawbacks.
* Flexible Output: View the reportability assessment with reasoning on the UI or export it to supported file formats.
* 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.


Risk Assessment Assistant (AI Risk Assistant):
'''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


* 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.
<blockquote> <div style="background:LightYellow; padding: 20px; border: 1px solid gray;">'''Note:''' New capabilities of the AI Assistant app will be published here as they become available. </div></blockquote>
* Probability Estimation: The AI assistant can assist in estimating the likelihood (P1 and P2) of potential risk scenarios arising from device use.
<blockquote> <div style="background:Lavender; padding: 20px; border: 1px solid gray;">Email [mailto:info@medicalsysconsult.com info@medicalsysconsult.com] for inquiries about creating a custom AI Assistant app version. </div></blockquote>
* 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.
<h3>[[Main_Page#Getting started|>>> Getting started]]</h3>
 
== Getting started ==
* AI Analysis Assistant
* AI Complaints Assistant
* AI Risk Assistant

Latest revision as of 01:38, 12 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 current 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
Note: New capabilities of the AI Assistant app will be published here as they become available.
Email [email protected] for inquiries about creating a custom AI Assistant app version.

>>> Getting started