top of page

Real-Time Healthcare Logistics Platform

Designed a multi-device operational platform that improved real-time visibility, specimen validation, and workflow coordination across healthcare logistics workflows using RFID-enabled tracking systems

Device - Macbook Pro_edited_edited.png
Group 1000002289.png
Group 1000002352_edited.png

Overview

Healthcare teams relied on fragmented manual workflows to coordinate specimen movement between locations, creating operational blind spots, delayed validations, and increased risk during time-sensitive handoff processes.

The goal was to design a real-time operational platform that improved workflow visibility, reduced manual coordination, and streamlined specimen tracking across multiple operational roles and devices.

What was the Problem?

Clinical specimens were tracked through fragmented manual workflows, disconnected systems, and paper-based handoff processes. Once specimens left the clinic, teams lacked real-time visibility into their location, status, and chain of custody.

Delayed diagnoses

Specimen tracking failures

High coordination overhead across operational teams

dissapointment.png

System Complexity

Multiple operational stakeholders with competing priorities

Zero tolerance for errors or ambiguity  

Time-critical workflows under pressure 

Need for real-time visibility across locations

End-to-End Workflow Ecosystem

WorkflowDiagram.png

Rather than designing isolated interfaces, I focused on the complete operational journey as a connected ecosystem spanning clinic intake, transport validation, lab processing, and real-time monitoring.

A simplified view of the primary sample journey across clinic, transport, and lab.

Core User Journey

How the primary sample flow moves from clinic to lab in practice

A. Clinical Sample Association

Pathologists associate each physical sample with an RFID tag before handoff, ensuring traceability from the very first step of the journey.
Group 1000002352.png

Action-based entry point that lets clinic staff begin scanning immediately

Group 1000002353.png

Linear scanning flow guides users through sample and RFID association

Group 1000002354.png

Clear confirmation and visibility reduce the risk of incorrect associations

Group 1000002355.png

Users can associate multiple samples before proceeding to cooler assignment

Why the flow is linear

Why confirmation matters in healthcare

The sample association flow was intentionally designed to be linear. In a time-critical clinical environment, reducing branching decisions helps clinicians move quickly while minimizing the risk of missed or incorrect steps during sample handoff.

Clear confirmation states ensure that each sample is successfully linked to its RFID tag before proceeding. In healthcare workflows, ambiguity at this stage can lead to lost samples, delayed diagnoses, and compliance risks later in the process.

B. Courier Pickup & Exit Validation

Once samples are placed into a cooler, couriers are guided through a controlled pickup and exit validation process to ensure the correct samples leave the clinic.
Group 1000002365.png

Couriers select the assigned cooler and verify their identity before initiating pickup.

Group 1000002364.png

The system validates courier before allowing to see sample and cooler details.

Group 1000002363.png

Clear confirmation ensures only authorized shipments leave the facility.

Why validation is a gate

Why this step matters operationally

Exit validation was designed as a mandatory gate rather than a passive confirmation. This prevents incorrect or incomplete handoffs by ensuring that samples, coolers, and couriers are properly linked before leaving the clinic.

By validating pickup at the point of exit, the system reduces downstream errors that are difficult to detect once samples are in transit.

C. Monitoring & Visibility

Once specimens entered transit, the platform provided real-time operational visibility across both workstation dashboards and shared monitoring displays, enabling teams to anticipate delays, monitor workflow states, and intervene before issues escalated.

Dashboard Experience

ChatGPT Image May 27, 2026, 09_47_26 AM_edited.jpg

Key Design Decisions

Prioritized Operational States

Critical alerts, delayed workflows, and in-transit samples were intentionally surfaced first to help operational teams quickly identify high-risk states and intervene before downstream issues escalated.

Designed for Rapid Scanability

Grouped metrics, clear visual hierarchy, and color-coded statuses helped users interpret workflow health at a glance without needing to review detailed operational logs.

Combined Monitoring with Actionability

The dashboard balanced high-level operational visibility with actionable workflow data, allowing teams to monitor activity, identify bottlenecks, and take action from a single workspace.

Improved Cross-Location Coordination

Real-time shared visibility reduced dependency on manual communication between clinics, couriers, and lab teams, helping operational stakeholders stay aligned across the specimen journey.

Real-Time Tracking Display - TV Experience

Group 1000002289.png

Key Design Decisions

Why visibility matters

The TV display was intentionally designed for glanceable operational awareness in shared lab environments, allowing teams to quickly monitor incoming coolers, transit states, and arrival timing without interrupting active workflows.

How this prevents damage or spoilage

Early visibility into arrival timing, delays, and workflow states helped operational teams proactively prepare storage and reduce downstream risks caused by missed handoffs, delayed processing, or prolonged temperature exposure.

Impact of the Platform

Transforming specimen tracking from a fragmented, manual process to a connected operational ecosystem.

BEFORE

Fragmented & Manual

Heavy reliance on calls and messages

Teams spent time chasing updates and clarifying status.

Unclear who is responsible for each specimen.

Limited visibility into ownership

Delayed issue detection

Missing or delayed samples identified too late.

No shared operational visibility

Each team had a different view of the same journey.

The platform transformed fragmented manual coordination into a connected operational ecosystem with shared accountability, faster intervention, and better outcomes for patients.

~ 30%

reduction is specimen handoff errors

2.4x

faster detection of
missing samples

70%

reduction in manual communication

Key Design Learnings

Fast-moving environments require high scanability

The UI prioritized clear hierarchy, simplified actions, and rapid readability to help operational teams process critical information quickly under time-sensitive conditions.

Visibility drives proactive operations

Shared real-time visibility helped operational teams identify delays, missing samples, and workflow risks earlier so they could intervene before issues escalated.

AFTER

Connected & Accountable

Real-time operational visibility

Live tracking across pickup, transit, and lab processing.

Chain of custody tracking

Clear ownership and accountability at every step.

Faster missing sample escalation

Issues detected earlier and actioned proactively.

Reduced manual coordination

Less back-and-forth, more time focused on patient care.

Validation builds operational trust

Clear workflow validation and confirmation states reduced ambiguity during critical handoffs and improved accountability across the specimen journey.

layout.png

Building a design system

MORE PROJECTS

Building a design system

new leads_edited.png

Consumer Intelligence

Procurement Control Tower

consumer dashboard_edited.jpg
bottom of page