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Engineering Case Study

What Denial Management Taught Me About Dashboards

Healthcare dashboards need workflow clarity, not just charts.

Tabitha Khadse

Software Engineer

Tabitha Khadse
Tabitha Khadse / Software Engineering Portfolio 01 / 13

Before I built software, I worked inside RCM workflows.

That experience shaped how I think about dashboard design.

Managed care claims
UB 04 forms
CMS 1500 forms
Authorizations
Payer portals
Denials
EOBs & ERAs
AR aging
PointClickCare reports
Excel tracking
The Operational Context 02 / 13

A dashboard should not only show what happened.

It should help someone understand what needs action.

The Philosophy 03 / 13

The Problem

Healthcare dashboards can look polished and still miss the real workflow.

That is the gap I wanted to explore with Healthcare RCM Analytics. Dashboards should not only display data; they should organize the work.

  • A chart shows denial volume. But does it explain why?
  • A graph shows AR aging. But does it show where follow up is stuck?
  • A report shows payer performance. But does it identify the next action?
The Missing Workflow 04 / 13

Denials are Not Just Numbers.
They are Signals.

If a dashboard only shows "denials went up," it is not enough. A denial reason points to a specific breakdown:

Missing documentation
Authorization gaps
Coding issues
Payer rule changes
Portal submission issues
Recurring workflow mistakes
The Data Context 05 / 13

The Better Questions

That is where dashboard design becomes software engineering. A useful RCM dashboard should answer:

Which denial reasons repeat? Which payer is involved? Which claim status needs action? Which aging bucket is growing? Which workflow step failed? Which account needs follow up first?
Driving Decisions 06 / 13

Healthcare RCM Analytics

A dashboard project built around simulated billing and claims data.

The goal was not to make a pretty chart. The goal was to make RCM data easier to understand and act on for non-technical users.

Core Dashboard Focus:

  • Financial performance
  • Claim denial trends
  • AR aging visibility
  • Claim status review
  • Filtering and drill down
  • Denial pattern analysis
The Solution 07 / 13

The Technical Thinking: Shaping the Data

I treated the dashboard as a software system, not only a visual layer. That meant thinking about the shape of the data first.

Once the data is shaped clearly, the dashboard can support better workflows.

// A claim record needs specific fields
Claim ID
Payer
Claim status
Denial reason
Billed amount
Allowed amount
Paid amount
Adjustment amount
AR aging bucket
Service date
Submission date
Follow up status
Next action
Data Architecture 08 / 13

Workflow Clarity Requires Engineering

Under the chart are data contracts, state logic, filtering logic, and aggregation rules.

Filter

By payer to see exactly where rework is concentrated.

Group

By denial reason to find recurring process issues.

Sort

By AR aging bucket to prioritize follow-up lists.

Drill Into

Claim status to understand what is pending, denied, or needs review.

Compare

Reimbursement patterns to see where payment behavior changes across payers.

The Functional Logic 09 / 13

What my RCM background helped me see

I know that the hard part is not only showing the data. The hard part is showing the right data in the right workflow context.

A dashboard should reduce the time between seeing a problem and knowing what to do next.

  • Denials are not just counts. They are signals.
  • AR aging is not just a report. It is a work queue.
  • EOBs and ERAs are not just payments. They explain payer behavior.
  • Payer portals are not just websites. They are fragmented workflow surfaces.
The Domain Advantage 10 / 13

Dashboard engineering is not only frontend layout.

Data modeling
Workflow understanding
KPI logic
Information hierarchy
Filtering & Aggregation
Decision support

A chart shows what happened. A useful dashboard helps explain what needs action.

The Engineering Lesson 11 / 13

Recruiter Signal

The Ideal Fit

"A team that needs someone who can understand healthcare operations and build software around real workflow problems—especially operational reporting and validation tools."

Target Roles

Software Engineer Full Stack Engineer Frontend Engineer

Domain Focus

Healthcare Tech RCM Workflows Internal Tools

Core Strengths

Data Quality Analytics Dashboards
The Target 12 / 13

Let's Connect

Tabitha Khadse

Tabitha Khadse

Software Engineer

Thank you for reviewing my case studies. I look forward to discussing how we can build better healthcare workflows.

RCM Analytics:

tabitha-dev.github.io/RCM-Dashboard-Analytics

Engineering Hub:

tabitha-dev.github.io/Engineering-Case-Studies-Hub/

Portfolio:

https://code.tabitha.dev/

GitHub:

github.com/tabitha-dev
The Portfolio Links 13 / 13
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