
Dashboard Design
Streamlining Healthcare Compliance Monitoring
About this project
Note: Due to the confidential nature of this internal dashboard, I am unable to share screenshots or mockups. While the final designs cannot be publicly shared due to internal data sensitivity, this case study outlines the core UX strategies and design decisions I made throughout the project.
Role: Lead UX/UI Designer
Company: NYS Department of Health – Office of Aging & Long Term Care
Team: Solo designer collaborating with data analysts and stakeholders
Tools Used: Tableau, Figma
Timeline: 8 Months
Impact: Reduced review time by 80% | WCAG-compliant | Adopted by multiple teams
Overview
In the wake of New York’s COVID-19 crisis, public trust in how nursing home deaths were tracked and reported fell under intense scrutiny. Investigations revealed major undercounting and sparked calls for better transparency and oversight. NPR Coverage
During this pivotal time, I was part of the design effort at the NYS Department of Health’s Office of Aging and Long Term Care, helping enforcement teams monitor compliance across nursing homes. My role was to design the internal Tableau dashboard that analysts used to detect violations, making it faster, more accessible, and more actionable. This project gave me firsthand insight into how UX design supports real world accountability and helps protect vulnerable communities. ​​
Goals
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Centralize data from multiple sources
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Create an interface that supports quick scanning and filtering
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Standardize data visuals in line with DOH branding and accessibility requirements​​
Impact
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80% faster access to critical data
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Expanded adoption across multiple teams
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Compliant with WCAG & DOH branding
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Empowered analysts, enforcement, and supervisors with one unified tool
The problem
This lack of clarity delayed reporting and decision making, during a time when every day mattered for vulnerable nursing home residents.
In the aftermath of the COVID-19 crisis, NYS needed tighter oversight of long-term care facilities. But enforcement and analysts were working with:
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Outdated Excel sheets with no version control
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No centralized source of truth for facility data
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A fragmented Tableau dashboard with randomly placed tables and maps
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Analysts struggled to locate high risk facilities quickly
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Visual inconsistencies and non-compliant accessibility
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Data interpretation required excessive manual filtering
Users
Conducted stakeholder interviews with analysts, and supervisors to understand their workflow and pain point Walkthrough of the current dashboard A content and accessibility audit
Key Insights
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Discovered that critical data was scattered across various excel spreadsheets
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Unreliable data updates, unclear data ownership, time consuming access
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Uncovered user needs: real-time visibility, centralized insights, simplified comparisons across facilities
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Users struggled to find the right data quickly
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Update timestamps were missing or unclear
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Excel-based data was not version-controlled or universally accessible
Key Design Decisions
Centralizing data with clear hierarchy
A unified layout replaced the fragmented table and map structure, organized around how analysts actually scan for risk: filters for residents, vacancies, incidents, and sick patients, with trend graphs surfacing areas of concern and drill downs enabling movement from statewide to facility level data.
Making data currency visible
Timestamp indicators were added to every data source so analysts could immediately assess reliability without hunting for it.
Interactive state map
All nursing facilities plotted in a single view. Hovering surfaces key information: location, last inspection date, and violation status.
Accessibility and brand alignment
Full WCAG audit conducted. DOH brand colors and typography applied throughout for visual consistency and compliance.
Outcome
Metric
Before
After
Data Access Time​
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Data Source Trust
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Layout Structure
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Adoption
15 Minutes​
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Low
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Fragmented
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1 Team
3 Minutes
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High (Timestamped source)
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Unified, Visual hierarchy
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4+ Teams
Reflection
This project showed me how directly UX decisions affect real world accountability. Designing for analysts working under pressure, with high stakes data and vulnerable people on the other end of every decision, made clarity and speed non-negotiable. It also reinforced how much trust hinges on the small details: a missing timestamp or an unclear data source can undermine confidence in an entire system.
