Healthcare Digital Solutions - Codaemon Softwares Pvt Ltd https://codaemonsoftwares.com Tue, 26 May 2026 13:23:18 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 https://codaemonsoftwares.com/wp-content/uploads/2026/05/cdmn-favicon-150x150.png Healthcare Digital Solutions - Codaemon Softwares Pvt Ltd https://codaemonsoftwares.com 32 32 AI patient information phase 2 https://codaemonsoftwares.com/portfolio/ai-patient-information-phase-2/ Thu, 02 Apr 2026 11:29:54 +0000 http://54.145.182.176/?post_type=portfolio&p=559 The project involves developing a multi-tenant software system designed for medical or clinical environments to handle patient information processing. It focuses on automating the extraction of patient data from audio recordings using machine learning and routing that data securely based on specific site configurations (e.g., general hospitals vs. pediatric sites). Core Functionality: Technical Stack:

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]]> The project involves developing a multi-tenant software system designed for medical or clinical environments to handle patient information processing. It focuses on automating the extraction of patient data from audio recordings using machine learning and routing that data securely based on specific site configurations (e.g., general hospitals vs. pediatric sites).

Core Functionality:

  • Multi-Tenant Architecture: A base setup that uses partitioning to isolate data by site_id, ensuring users only access records belonging to their specific site.
  • Audio Processing & Ingestion: A voice-activated (VAD-enabled) interface for recording, uploading, and playing back audio files.
  • Machine Learning Integration: Dynamic loading of AI prompts and models (e.g., GPT-4o) from a database to categorize and extract patient data from audio.
  • Site Configuration Framework: A management system to customize AI behavior (prompts, thresholds, model selection) for different clinical sites.
  • Azure-Based Event Routing: Automated workflows where audio uploads trigger events in Azure Event Hub, which are then processed by Azure Functions for transcription and LLM-based analysis.7
  • Dashboards & Reporting: Frontend interfaces for site-level metrics (token usage, patients processed) and administrative tools for billing and audit logging.8
  • Security & Access Control: Role-based access control (RBAC) and authentication integrated with Microsoft Azure AD to manage user permissions and data isolation.

Technical Stack:

  • Back End: Python.
  • Front End: Python Django (using Django templates and JavaScript for the audio recorder).
  • APIs: OpenAPI.
  • Cloud Infrastructure: Microsoft Azure (Blob Storage, Event Hub, and Azure Functions).
  • Database: PostgreSQL.
  • AI/ML: OpenAI (including models like GPT-4o or GPT-3.5).
  • Authentication: Microsoft Azure AD (OIDC login flow).

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]]> AI patient information https://codaemonsoftwares.com/portfolio/ai-patient-information/ Thu, 02 Apr 2026 11:18:28 +0000 http://54.145.182.176/?post_type=portfolio&p=556 The project involves rewriting existing Python code to automate the extraction and consolidation of patient information from audio sources. Core Functionality: Technical Stack:

The post AI patient information first appeared on Codaemon Softwares Pvt Ltd.

]]> The project involves rewriting existing Python code to automate the extraction and consolidation of patient information from audio sources.

Core Functionality:

  • Audio Transcription: Utilizing AI to transcribe audio recordings.
  • Information Extraction: Identifying and extracting specific patient data from those transcriptions.
  • Consolidation: Organizing the extracted data, with a specific focus on handling critical health events.2Data Validation: Using the Pydantic library for data handling and validation.

Technical Stack:

  • Languages: Python.
  • APIs: OpenAI’s Whisper API.
  • Libraries: Pydantic.
  • Systems: OpenAPI.

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