Overview

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

    Healthcare

  • region

    • Region

    USA

  • project-size

    • Project Size

    Non- Disclosable

Highlights

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 with the help of AI engineers 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.

Core Features

  • Compliance Assurance
  • Improved Patient Outcomes
  • Comparative Analysis
  • Adverse Reaction Prediction

Result

The AI-based Medical care solution we’ve crafted is in use currently. This medical care solution alerts the doctors when their newly-prescribed drug shows the probability of allergy in the patient as per their history. So with its help, doctors using our solutions can prevent probable drug allergies or consequences for their patients. It operates dynamically and is extensible enough if the client wants to extend its functionalities in the future. The client is extremely satisfied with its performance as the medical staff has reported a 60% decline in drug allergies among patients from the time it has been deployed. Its OCR system has saved hospital staff a significant amount of time for other operations, causing a benefit of $1000 PER DAY (which means $1.08 Million in 3 years) for this healthcare group.
  • no.-of-resources

    • No. of Developers

    05

  • time-frame

    • Time Frame

    March 2022 - July 2022

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