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FEATURED PROJECT | AI & HEALTHCARE TECH

OncoLife — AI-Powered Oncology Care Management Platform

Solving fax processing overload, communication bottlenecks, and manual clinical documentation burdens in oncology care coordination.

OncoLife

Automated

Medical Fax & Ingestion

AI-Powered

Textract Document OCR

Day 0

Chemo Timeline Anchoring

Centralized

Doctor & Patient Portals

Industry Pain Points & Core Challenges

The Pain Point: Fax Overload & Documentation Bottlenecks in Oncology Practice

Oncology practices struggle with high volumes of paper/fax based medical records, repetitive clinical documentation tasks, and fragmented patient communication channels. These operational friction points delay onboarding and increase administrative overhead.

  • Fax Processing Overload: Receiving patient records via traditional fax requires tedious manual data entry, slowing down new patient onboarding.
  • Document & Communication Bottlenecks: Care teams (doctors, nurses, navigators, research coordinators) lack a unified digital portal for scheduling and EMR access.
  • Manual Clinical Documentation Burden: Synthesizing complex chemotherapy timelines, vital signs, and patient symptom histories drains clinician time.

Strategic Solution & Platform Architecture

The Solution: Automated Oncology Care Management Ecosystem

OncoLife integrates Sinch fax pipelines with Amazon Textract OCR, FastAPI backends, and AI clinical summaries to automate onboarding, document clinical history, and streamline care coordination.

  • 01. Automated Medical Fax Pipeline — Ingests inbound/outbound faxes via Sinch, stores files in S3, and uses Amazon Textract for AI data extraction.
  • 02. Role-Based Doctor & Admin Portal — Enables Super Admins, Doctors, Nurses, Navigators, and Research Coordinators to manage MRNs and clinical data.
  • 03. Centralized Electronic Medical Records — Maintains complete patient histories, chemotherapy dates, diagnoses, allergies, vitals, and treatment timelines.
  • 04. AI Documentation & Patient Portal — Generates clinical chat summaries and chemotherapy Day 0 timelines while giving patients secure portal access.

User Journey & Operations

From Inbound Medical Fax to AI-Assisted Care Management

  1. 01

    Inbound Fax Processing

    Sinch receives patient medical/symptom faxes, securely saving files in Amazon S3.

  2. 02

    AI Text Extraction & Onboarding

    Amazon Textract parses document text, triggering automated patient record creation and welcome emails.

  3. 03

    Clinical Coordination & Scheduling

    Doctors, Nurses, and Navigators assign MRNs, schedule appointments, and review centralized EMR data.

  4. 04

    AI Summary & Timeline Generation

    AI tools build treatment timelines anchored around chemotherapy Day 0 and summarize clinical notes.

Architecture & Technology Stack

Built for High-Throughput Document Extraction & Secure Clinical Messaging

01

FastAPI Backend & PostgreSQL Database providing secure, high concurrency clinical data APIs.

02

Celery & Redis background task workers executing automated notifications and batch fax workflows.

03

Amazon S3 & Amazon Textract powering OCR document extraction and secure medical storage.

04

Sinch Fax Integration delivering reliable inbound/outbound digital fax communication.

Technology Stack

FastAPIPostgreSQLCelery & RedisAmazon S3 & TextractSinch Fax APIAI Documentation

Outcomes & Business Impact

  • Eliminated Manual Data Entry

    AI OCR text extraction converts incoming faxes directly into structured patient records.

  • Streamlined Clinical Documentation

    Automated timelines and AI chat summaries reduce repetitive clerical burdens for doctors and nurses.

  • Enhanced Patient Engagement

    Automated onboarding emails, scheduled reminders, and patient portal workflows improve care continuity.

Next step

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