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Health Information Management Final Year Topic: Agreement between Two Coders on Fictional Diagnosis Narratives

This Health Information Management final year project examines how much do trained student coders agree when applying a selected coding guide to fictional narratives? The proposed evidence is fictional narratives and a versioned coding reference, interpreted only for this defined research question.

Why choose this project topic?

This Health Information Management final year project topic asks: How much do trained student coders agree when applying a selected coding guide to fictional narratives? Its evidence plan uses fictional narratives and a versioned coding reference. The analysis focuses on calculate agreement and discuss ambiguous categories; no real charts or diagnosis advice. This gives the student a distinct study boundary, a clear source trail and a privacy-conscious basis for discussing the selected information-management problem with a supervisor.

How much do trained student coders agree when applying a selected coding guide to fictional narratives?

Agree the source, sample, time period and approved analysis rules with your supervisor.

Proposed project objectives

  1. 01Define the approved sample and operational criteria for agreement between two coders on fictional diagnosis narratives.
  2. 02Apply the selected method to document evidence about clinical coding.
  3. 03Interpret findings against the stated question and disclose limits: Calculate agreement and discuss ambiguous categories; no real charts or diagnosis advice.

A suggested research approach

Use a reproducible case-study design. Fictional narratives and a versioned coding reference. Calculate agreement and discuss ambiguous categories; no real charts or diagnosis advice. Record source versions, exclusions and analysis decisions; obtain ethics, data-controller and site permissions before any non-public access.

What you will need

  • Fictional narratives and a versioned coding reference
  • Supervisor approval and institutional ethics, data-controller or site permission as applicable.
  • A written data-minimisation, retention and disclosure-control plan.

Keep your project scope clear

This proposed study uses fictional, public or formally authorised de-identified material only. It cannot establish care quality or patient outcomes; obtain institutional ethics, data-controller and site approval before any real record access, and never publish identifiable data.

Health Information Management project chapter outline

Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.

  1. Chapter 1Introduction
  2. Chapter 2Literature Review
  3. Chapter 3Research Methodology
  4. Chapter 4Data Presentation, Analysis and Discussion of Findings
  5. Chapter 5Summary, Conclusion and Recommendations

Turn this topic into your own final year project.

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