2027 A Denial Reason Pareto Chart: A Healthcare Administration Student Portfolio Project

Imed Bouchrika, PhD

by Imed Bouchrika, PhD

Co-Founder and Chief Data Scientist

What Is a Denial Reason Pareto Chart in Healthcare Administration?

A denial reason Pareto chart is a bar chart that ranks categories of rejected or denied healthcare claims from most to least frequent, paired with a line showing their cumulative share. In this project, define a denial as a payer's decision not to pay a submitted claim or claim line as billed. A front-end claim rejection, which may occur before payer adjudication, should be analyzed separately unless the project explicitly combines both and explains why.

The chart helps an administrator decide which problems deserve closer review. If eligibility issues form the largest category, for example, the next question is whether registration, verification, payer rules, or another process contributed. Frequency alone does not establish the cause or the best intervention.

This is an operational analysis project, not a clinical one. Students deciding between leadership-oriented study and more technical work with health records and data can compare healthcare leadership education compared with health information management.

Table of contents

How Can Students Create a Healthcare Claim Denial Pareto Chart?

Use a synthetic dataset or one your organization has approved for student use. The following sequence produces a chart another analyst could reproduce and an administrator could question constructively.

  1. Define the question, population, date range, and unit of analysis: claims or claim lines. Keep that unit consistent throughout.
  2. Remove or avoid patient identifiers and confirm that any real data use complies with organizational policy and applicable privacy requirements.
  3. Separate adjudicated denials from front-end rejections, reversals, and other transactions according to documented rules.
  4. Map payer reason codes into understandable categories, retain the original codes for auditability, and have an experienced revenue cycle reviewer check ambiguous mappings when possible.
  5. Count distinct denied units in each category, sort categories from largest to smallest, and calculate each category's share and the running cumulative share.
  6. Plot category counts as descending bars and cumulative share as a line; label the axes, reporting period, population, and any exclusions.
  7. Write a brief interpretation that recommends what to investigate, identifies missing information, and proposes a way to measure whether a change works.

A spreadsheet is sufficient; SQL or a business intelligence tool can make the workflow easier to reproduce. Save the category definitions and calculation logic alongside the finished chart. Students seeking a structured setting for a larger applied project can compare fast-track online healthcare management graduate degrees, but they should verify that a particular program actually permits revenue cycle projects.

Why Is Denial Analysis Important for Healthcare Administration Careers?

Denials can delay payment, create rework, and reveal problems that cross registration, coding, authorization, clinical documentation, and payer-contract teams. A useful analyst translates those signals into a question a team can test. For instance, a rise in authorization-related denials might warrant a review of scheduling and authorization workflows before anyone changes staff performance targets.

The project demonstrates a practical management distinction: the most common denial reason is not automatically the most expensive or most preventable. An administrator may investigate a less frequent category first if it carries greater financial exposure or a clearer remedy. Revenue cycle analysis is one of several healthcare administration job options beyond a single role; the best fit depends on whether you prefer data work, process improvement, or broader organizational leadership.

How Should Students Evaluate Programs for Denial Analysis Training?

Ask a program to identify a specific assignment, capstone, internship, or employer project in which students analyze healthcare operational data. Request the relevant syllabus or project description, then check whether it covers reimbursement, data governance, process improvement, and communicating findings to decision-makers. For online study, confirm whether live meetings, group work, or site-based projects fit your schedule.

Compare the full cost of attendance - including required fees and any travel - with the skills you still need. Someone who only needs spreadsheet practice and revenue cycle exposure may be better served by a course or employer training than a graduate degree. If a degree fits a broader career goal, use tuition comparisons for online health administration programs as a starting point, then verify current charges and the applied learning available in each program.

Other Things You Should Know About Healthcare Administration

Can I use publicly available data for a denial Pareto chart?

Yes, if it contains denial reasons at a useful level of detail and its terms permit your use. Document its source and limitations. A synthetic dataset is another option when suitable public claim-level data is unavailable.

Does the Pareto principle mean the leading reasons must account for most denials?

No. The chart reveals the distribution in your dataset; it does not require a particular concentration of denials. Report what you observe rather than forcing the results to match a rule of thumb.

Should I include payer names in a public portfolio?

Only if disclosure is permitted. Even when patient identifiers are absent, payer-level results may be confidential under an employer's policies or agreements. Aggregate or mask them when necessary.

Can a denial reason chart show that an improvement worked?

Not by itself. Compare a clearly defined measure before and after the change, account for shifts in claim volume and case mix, and check whether denials were later overturned or paid.