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FHIR® Project Fitment

FHIR® and Health Informatics Project Proposal Fitment

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Research Guide

Project idea playbook

FHIR® Project Idea Guide (Master's Level, Practical Scope)

This guide is a lightweight reference for students building a non‑trivial, practical project in health informatics with FHIR®. You do not need PhD‑level novelty, but you do need a clear problem, real stakeholders, and a working prototype.

What counts as a strong master's‑level project

Your proposal should include:

FHIR® data usage (read/write or validation with real FHIR® resources)
A real workflow problem (not just data display)
A measurable outcome (time saved, errors reduced, better follow‑up)

Example proposals (short, real, and achievable)

1) Medication Reconciliation Helper

Problem: Medication lists are inconsistent across visits.
Proposal: Compare FHIR® Medication/MedicationRequest lists across encounters and flag conflicts.
Beneficiaries: Providers, patients.

2) Post‑Discharge Follow‑Up Tracker

Problem: Patients miss follow‑ups after discharge.
Proposal: Use FHIR® Appointment and CarePlan data to build a checklist and reminders.
Beneficiaries: Patients, providers.

3) Quality Measure Readiness Scanner

Problem: Clinics lack structured data for reporting.
Proposal: Scan FHIR® resources for required US Core fields and score completeness.
Beneficiaries: Providers, administrators.

4) Prior Authorization Precheck Assistant

Problem: Prior auth is slow and error‑prone.
Proposal: Check FHIR® ServiceRequest against payer rules (simulated) and generate a documentation checklist.
Beneficiaries: Providers, payers, patients.

5) SDOH Risk Flagging

Problem: SDOH needs are under‑captured.
Proposal: Use SDOH‑coded Observations to identify high‑risk patients and suggest referrals.
Beneficiaries: Patients, public health.

6) Problem List Summarizer

Problem: Long problem lists are hard to review.
Proposal: Summarize recent Conditions and Observations into a concise clinical summary.
Beneficiaries: Providers.

7) Immunization Gap Finder

Problem: Immunization records are fragmented.
Proposal: Aggregate Immunization records and flag missing or overdue vaccines.
Beneficiaries: Patients, providers, public health.

8) Lab Trend Viewer

Problem: Lab trends are hard to see quickly.
Proposal: Use FHIR® Observations to plot trends and highlight abnormal thresholds.
Beneficiaries: Providers, patients.

9) Patient Education Tailor

Problem: Education materials are generic.
Proposal: Recommend targeted materials using FHIR® Conditions, Medications, and Observations.
Beneficiaries: Patients, providers.

10) FHIR® Data Quality Checker

Problem: Data uploads fail due to missing codes/values.
Proposal: Validate FHIR® bundles and provide a simple error report with fixes.
Beneficiaries: Health IT teams, providers.

Optional: Find “state of the art” (if you want to stretch)

This is optional. If you want to show deeper research:

Use Google Scholar with simple queries: - "FHIR®" + your topic (e.g., "FHIR® medication reconciliation") - "SMART on FHIR®" + your topic - "CDS Hooks" + your topic
Filter by Since 2023.
Find: - 1 recent survey or review paper - 2 system papers (how they built it) - 1 evaluation paper (what metrics they used)

Final advice

Keep the scope realistic:

A working prototype is enough.
Demonstrate the FHIR® flow.
Show a measurable benefit, even with a small evaluation.

Q1 Select one

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Note: This is an unofficial self-assessment tool. Always consult with your instructor for official project approval.

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Unofficial Guidance

For Master's in CS students in Health Informatics evaluating project proposal fit. Built with AI support. No guarantee of accuracy. Always validate with your teaching advisor.