AI Clinical Reporting Platform
HIPAA-compliant clinical platform that uses AI to analyse hip and knee X-rays and turn findings into patient-friendly reports.
Full-Stack Developer · React, Node.js/AdonisJS, Python, AWS
- Built the clinician-facing React.js evaluation workflow (Context API) for X-ray review, chart rating and patient education resources.
- Developed the Node.js / AdonisJS REST API and Lucid ORM data layer on AWS RDS.
- Integrated the Python DICOM imaging services with the API and turned AI findings into automated, patient-friendly reports.
- Designed a custom job queue on AWS EC2 and Lambda so heavy analysis jobs never block the clinician experience.
- Implemented HIPAA-aligned security: TLS via AWS ACM, Nginx hardening, controlled access and secure storage.
SBS (Step By Step Hip & Knee) is a clinical evaluation and treatment platform developed with UPMC for arthritis care. Clinicians needed one secure place to evaluate X-rays, rate patient charts and share educational resources.
The platform had to analyse DICOM X-ray images with AI, turn the results into reports patients could understand, meet HIPAA requirements throughout and stay fast under a high volume of requests.
A full-stack platform with AI imaging analysis at its core: a React.js front end for a clean clinician workflow, a Node.js and AdonisJS API, and Python services for the imaging work, all on hardened AWS infrastructure.
AI X-ray analysis
Python services process DICOM images and feed structured findings into the clinician workflow.
Patient-friendly reports
Findings become clear reports automatically, replacing hours of manual write-up.
HIPAA-compliant data
Encrypted transport with AWS ACM, controlled access and secure storage on AWS RDS.
High-volume queue
A custom queue on EC2 and Lambda absorbs spikes so analysis jobs never block the app.
- Report generation became 80% faster, cutting manual preparation time significantly.
- Delivered a HIPAA-compliant AI medical evaluation platform.
- Arthritis evaluation workflows became more efficient for clinicians.
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