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    Making clinical trials more effective through real world data

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    About Droice Labs

    Droice Hawk is a HIPAA/GDPR-compliant AI middleware that losslessly converts raw, messy patient data like EHR, labs, claims, etc. into analysis-ready form for clinical trials. Hawk fills this industry gap by losslessly processing RWD. Hawk’s enterprise infrastructure enables scalable, reproducible, and traceable RWD with quantifiable data quality for reliable evidence generation.

    Service Provided
    Project Details
    • industry
      Industry Healthcare
    • engineers
      Engineers 3
    • duration
      Duration 2+ Years
    • revenue
      Revenue <$5M
    • Country USA
    • Interested? Estimate Project
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    The Development Sprints

    1-2

    Month
    • Initial scope understanding
    • Database design

    3-4

    Month
    • Frontend development
    • API development

    5-6

    Month
    • Web development
    • Infrastructure setup

    7-8

    Month
    • DevOps management
    • NLP engineer integration

    9-10

    Month
    • Data preprocessing enhancements
    • ML model training & testing

    11-12

    Month
    • Bug support & maintenance
    • Final testing and quality assurance

    13-14

    Month
    • Regulatory-grade lineage solution implementation
    • Integration across disparate data sources

    15-16

    Month
    • Quantification of data quality features
    • Handling complex RWD inputs optimization

    17-18

    Month
    • Understanding unstructured medical text improvements
    • RWD preparation at scale enhancements

    19-20

    Month
    • Lossless data processing optimization
    • HIPAA/GDPR compliance updates

    21-22

    Month
    • Scalable infrastructure enhancements
    • Reliable evidence generation improvements

    23-24

    Month
    • Final bug fixes and optimizations
    • Deployment and launch preparation

    Technologies Used

    • Python
    • React
    • Elastic Search
    • Redis
    • Docker
    • MongoDB
    • Postgres
    • NLP
    • Deep Learning
    • NLTK
    • Scikit-Learn

    Final Outcome

    We had built state-of-the-art AI middleware designed to accelerate and optimize clinical trials, which was built upon Real-World Data (RWD). This HIPAA/GDPR compliant platform seamlessly converts the raw patient data into analysis-ready formats for records/reports including Electronic Health Records (EHR), lab results, and claims. This enterprise-grade infrastructure facilitates scalable, reproducible, and traceable RWD processing, ensuring quantifiable data quality for reliable evidence generation. With features like regulatory-grade lineage solutions, integration across disparate data sources, and scalable infrastructure, Hawk empowers healthcare organizations to streamline clinical trial processes, ultimately leading to faster, leaner, and more effective outcomes.

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