Chart-ER

Medical AI Startup - a platform designed to optimize patient intake and diagnosis in the emergency room.

Chart-ER is an AI-powered EHR platform designed to help physicians manage high patient volumes in emergency room settings by prioritizing care based on urgency.

As the sole product designer, I designed a system that streamlines reviewing patient history, tracking real-time patient status, supporting holistic diagnoses, and recommending treatment plans.

Problem

How might we support physicians in delivering quality, informed care to a high- volume of patients at once?

Outcome

I used Figma to design a desktop interface with intuitive user interactions, where AI supports every core feature by delivering an overview of all checked-in patients, generating concise patient summaries, providing health trend insights, and referencing relevant medical documentation from patient histories.

Role

Product Designer

Timeline

4 weeks

Team

1 Designer
1 Physician
1 Project Manager

Concept, designs & high-fidelity prototype in 4 weeks

I'm proud of this project because, within just four weeks, I conducted user research, conceptualized the product, and designed high-fidelity prototypes while maintaining consistent communication with stakeholders. I also conducted usability tests, however the main goal was to create a bare-bones MVP with the goal of continous improvement in the future.  Here's how I approached this project:
01

Week 1—Research & Design

I met with the startup co-founders to understand their goals and success criteria for the project. I then conducted a competitor analysis to evaluate the existing EHR market and the medical AI landscape. To ground the design in real clinical needs, I interviewed four emergency room physicians to identify pain points related to managing high patient volumes. Using these insights, I created affinity maps, storyboards, and mental models, which informed the design of the initial low-fidelity wireframes. These wireframes helped define the product’s information architecture and establish its visual direction.
02

Week 2—Feedback & Mid-Fi Designs

After creating the initial wireframes, I conducted user testing with physicians to observe their interactions and gather feedback for improvements. I also presented the designs to the company founders to ensure alignment with their vision for the product’s visual identity. Incorporating insights from both users and stakeholders, I refined the wireframes and advanced to mid-fidelity designs.
03

Week 3—Visual Design & Brand Identity

With the mid-fidelity designs in place, I finalized the color palette, typography, icons, and logos for the MVP. This was an iterative process where I explored multiple UI library variations, refining them based on feedback. Through continuous collaboration with the founders, we identified the perfect visual direction to align with the product’s goals and brand identity.
04

Week 4—High-Fidelity Prototypes

Once the branding elements were finalized, I created high-fidelity mockups and interactive prototypes of the MVP screens using Figma. To ensure usability and effectiveness, I conducted four usability tests, gathering feedback to refine the designs. After implementing necessary adjustments, I delivered the final designs, completing the project with a user-centered and visually cohesive product.

User research
results & findings

Given the quick turn around, we conducted a competitor analysis and interviews with various physicians. Here are the results:
87 %

of the survey takers complained about standard EHR systems being difficult to navigate to access relevant patient medical history.

ER physicians are currently using outdated systems that often slow down the process of gaining insight on a patient's previous medical history due to user experience issues such as information overload, bad interaction design, and slow information retrieval.
85%

of the survey takers agree that it is easy to overlook patient information with the design of some of these platforms as information is not easy to find.

ER physicians say that they may have missed patient history information to provide the most accurate diagnosis in the past due to the lack of organization in current EHR systems that their hospitals use.

Feature #1
AI Patient Summary  

0
ER physicians best familiarize themselves with a patient by reviewing a concise summary of their medical history and current symptoms. ChartER uses AI to analyze this information, delivering an accurate and efficient summary for quick assessment.

Feature #2
Cited Document Locator

0
Patients in the ER often struggle to provide complete medical information due to their condition, so I designed a centrally located document finder to enhance the AI-generated summary, giving physicians quick access to cited records such as past labs, scans, and visit summaries for ease of access and visibility.

Feature #3
Trend Charts

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While summaries give doctors a quick overview, supporting them with raw data reveals important health trends. I designed a dashboard section with visual charts from past visits to help ER physicians spot patterns and make informed treatment decisions.

Feature #4 & #5
AI Workup Suggestions & Dynamic Treatment Plans

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In a fast paced ER, ordering the right tests can be challenging and error prone. To address this, I designed an AI feature that suggests only the most relevant workups, reducing unnecessary testing and easing patient stress.

I also created a treatment plan feature that updates in real time as new data becomes available, ensuring care remains accurate and adaptive.

Together, these features support a holistic, informed, and efficient approach to patient assessment, which is crucial in emergency care settings.

Feature #6
ER Status Dashboard

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In a busy ER, it’s hard for doctors to track patient flow without leaving their workspace. To solve this, I designed an ER Status Dashboard that gives a real-time view of all checked-in patients—their symptoms, status, and workup progress. This helps doctors stay organized, prioritize urgent cases, and deliver faster, more efficient care.

End-to-End App Design From Scratch

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Designing this from scratch was challenging yet fulfilling for me. It was exciting to work with ER physicians to learn which tools they most need in an EHR platform and how we can use AI to improve patient care.

Final designs and prototype

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Here is the final prototype, hosted on Figma. I did 4 usability tests to make sure everything was intuitive and working perfectly.