We have developed an AI-based medical care solution for a well-known healthcare organization. Installed in their hospitals and used by doctors, this solution helps the medical practitioners extract major drug-related data from patients’ profiles and predict the side effects of new or current medication if any. With this solution, the doctors can prevent probable drug allergies or consequences for their patients.

Technical Stack

  • React js
  • Javascript
  • HTML
  • CSS
  • AWS Lamda
  • Node JS
  • Express js
  • Python
  • Jira
  • Industry


  • region
  • Region


  • project-size
  • Project Size

    Non- Disclosable


Liability Risk Reduction

Enhanced Decision Support

OCR Tool Implementation

User-Friendly Interface

Challenges & Solutions

Addressing the financial and health risks associated with drug allergies, which lead to increased medical expenses and extended recovery periods.

  • Solution: Implement an advanced drug discovery module to analyze drug properties, predict potential allergic reactions, and ensure compatibility with patients' medical profiles, thereby minimizing risks and costs.

Streamlining the time-consuming manual process of predicting drug allergies currently relies on manual review by doctors and nurses, resulting in limited precision.

  • Solution: Integrate cutting-edge technologies such as OCR for digitizing medical documents and NLP for efficient text analytics, automating data extraction and analysis to improve accuracy and speed.

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Years of Business




Countries with
Happy Customers


Agile enabled

Core Features

  • Compliance Assurance
  • Improved Patient Outcomes
  • Comparative Analysis
  • Adverse Reaction Prediction
  • no.-of-resources
  • No. of Developers


  • time-frame
  • Time Frame

    March 2022 - Ongoing

Experience With Bacancy

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