JustPaste
HomeCategoriesAboutDonateContactTerms of UsePrivacy Policy
JustPaste

Free online notepad — write and share instantly

Navigate

  • Home
  • Timeline
  • Categories

Info

  • About
  • Donate
  • Contact

Legal

  • Terms of Use
  • Privacy Policy

© 2026 JustPaste.app. All rights reserved.

Made with ♥ by JustPaste

Untitled Page | JustPaste.app
2 months ago2 views
🏥Health

Use Cases for GenAI Training Capstone Project

1. Clinical Guidelines Q&A Assistant

Problem Statement:

Doctors and healthcare teams need quick access to treatment guidelines for diseases such as

diabetes, hypertension, asthma, COPD, and oncology. A RAG assistant can answer guideline-based

questions with citations.

Data Requirements:

● Public clinical guidelines

● Disease-specific treatment protocols

● Drug and dosage reference material

Expected Output:

● Evidence-backed answer

● Relevant guideline section citation

● Treatment pathway summary

● Warning when more clinical judgment is required

2. Healthcare Knowledge Graph + RAG Assistant

Problem Statement:

Healthcare data includes relationships among diseases, symptoms, drugs, genes, biomarkers, and

clinical trials. A combined knowledge graph and RAG solution can answer complex biomedical

questions more accurately.

Data Requirements:

● Disease-drug-symptom relationship data

● Research articles

● Drug labels

● Trial registry records

Expected Output:

● Relationship-based answer

● Graph path explanation

● Source-backed evidence

● Visual relationship summary

3. Healthcare Insurance Prior Authorization Assistant

Problem Statement

Healthcare insurance prior authorization is a process where hospitals, providers, or patients need

approval from the insurance company before a treatment, surgery, diagnostic test, hospitalization, or

medication is covered.

Data Requirements:

● Covered treatments and procedures

● Non-covered services

● Exclusions

● Waiting periods

Expected Output:

● The GenAI assistant should generate a structured prior authorization summary.

4. Rare Disease Knowledge Assistant

Problem Statement

Rare disease information is often scattered across multiple sources such as medical websites,

research papers, case reports, genetic databases, patient advocacy documents, and clinical trial

registries.

Patients, caregivers, researchers, and healthcare teams may find it difficult to quickly understand:

● Disease symptoms

● Genetic causes

● Diagnostic tests

● Available treatments

● Specialist referral needs

Data Requirements:

● Rare disease overview documents

● Disease symptoms

● Causes and inheritance patterns

● Genetic mutation details

Expected Output:

● The assistant should provide structured, reference-backed answers.

← Back to timeline