Patient Discharge Optimization Platform

An operations research and AI-based digital solution that optimizes patient discharge planning, coordination, and execution.

Built for:

iHarbor for the University of Maryland Medical System

What I Did:

UX, SaaS Product Design for Web & Mobile, Visual Design

The Problem

Hospitals are facing mounting pressure from inconsistent patient flow, finite bed capacity, and prolonged ED boarding. Disorganized discharge processes and siloed systems have forced care teams into reactive and inefficient workflows, leading to bottlenecks in patient flow, staff burnout, patient dissatisfaction, and delays in care delivery.

The Solution

Halo provides decision support for Care Teams, enabling them to optimize their discharge process and hospital bed capacity. Providing the right care to the right patient at the right time becomes achievable through proactive discharge timetables, patient prioritization intelligence, and actionable automated workflow triggers for bedside staff.

My Project Role

Product Design & UX Design Lead

iHarbor is an innovation studio that ideates and purposefully builds innovative digital health and artificial intelligence products and solutions.

As iHarbor’s principal Product and Visual Designer, I lead product and UX design. Building AI-driven digital health solutions to transform care delivery, enhance patient safety, and improve operational efficiencies across 11 hospitals and 150 offices.

My Contributions to the Project

User Experience (UX) Design

Design System & Coded Prototypes

User Interface (UI)
Design

Harnessing Data & Insights

User Experience Design

Design System & Prototyping

User Interface Design

Harnessing Data & Insights

UX Design

Collaborated with users and product teams to lead the end-to-end design of a new platform to optimize patient flow. Integrating key insights into daily clinical workflows that streamlined the transition from admission to discharge, successfully reducing bottlenecks and patient wait times.

Engaging Stakeholders

Features Driven by User Research & Feedback

  • Prescriptive discharge timetables tailored to a hospital facility
  • Predictive patient discharge  prioritization
  • Proactive alerting and communication of discharge barriers
  • Anticipatory discharge disposition
  • Robust performance analytics and reporting
How does it work?

Halo leverages Operations Optimization, Queuing Management and AI

Halo’s technology engine:

  • Determines optimal number of patients to discharge each day
  • Provides optimal deadlines to discharge patients each day from each unit
  • Assigns probability scores and predicts patient candidates for discharge the next day
  • Provides an anticipated discharge disposition of each patient from the time of admission

Enabling hospital staff to:

Discharge the Right Patient
Discharge at the Optimal Time
Improving Workflows

Reimagining the Discharge Process

Design System & Prototyping

To speed the dev process and increase visual consistency, I implemented the iHarbor design system and detailed directives for my collaboration with the development team.

In addition to Figma screens, I coded dynamic prototypes to test screens with users and achieve pixel-perfect end results.

Guidelines & Consistency

Designing & Deploying iHarbor Design System

HTML Prototyping & Figma

Coding Dynamic Screens & Rapid Prototypes to Test/Validate

UI Design

Leaning on UX best practices and technical know-how, I designed intuitive, flowing experiences tailored to each unique user group and screen type.

There are designs tailored to the needs of in-hospital staff and vendors on the go.

For Planners, Nurses, Doctors & Leaders

Screens from the Responsive Halo SaaS Application

For Staff on the Go

Screens from the Halo Mobile App

Simplifying Data & Metrics

I worked directly with data scientists to distill complex datasets and metrics into insights and easy-to-understand visualizations for a variety of users.

Halo provides analytics with insights into discharge and planning adherence and how they impact length of stay and transfer times.

User-Friendly Data & Metrics

Providing Key Insights & Easy-to-Understand Visualizations

Impact & Benefits

Successfully deployed at the University of Maryland Medical System, the state’s largest healthcare provider, Halo has addressed common challenges across institutions of all sizes and patient populations.

  • Optimize discharge planning by leveraging AI to predict and prioritize patient discharge needs
  • Streamline discharge rounds for improved staff efficiency
  • Enhance bed availability and streamline patient flow to reduce bottlenecks
  • Improve operational efficiency to minimize unnecessary delays and enhance hospital throughput
  • Strengthen communication with a centralized platform for real-time care team collaboration
  • Reduce strain on hospital staff and lower ED boarding times

Delivering Real Results

Halo aligns with the health system’s strategic priorities to transform healthcare delivery, enhance patient safety and quality, and improve operational efficiency.

Shorter length of stay for patients
Improved emergency department boarding & ICU transfer wait times
Reduction in inpatient bed assignment to ED departure time