Health EHR Webapp

Overview

Basys.ai is an electronic health record platform that uses artificial intelligence to facilitate diabetes diagnosis and track patient data. The platform streamlines clinicians' workflow and optimizes how medical data is used and presented. Basys.ai is the winner of the 2022 MIT $100K startup competition.

Design Goal

Basys.ai streamlines complex EHR systems and enhances information visualization. This web-based platform integrates healthcare features to track patients' diabetes data and assist with diagnosis through its specialized AI model. The system aims to revolutionize health records by improving clinical efficiency, simplifying hospital management, and optimizing healthcare provider workflows.

Note: data from 2019 Health Tracking Poll

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Design Process

User Research

Interview + Questionnaire

Pain point:
1.Clinicians must manage excessive patient information, alerts, and messages
2.The ordering process between doctors and nurses is overly complex
3.Therapy note templates are inadequate
4.The billing process needs improvement
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Desired User Experience:
Simplify the workflow, concrete record of patient history and better data visualization. Good filters and prioritization of patient updates. A more automatic and smarter way to facilitate clinician’s workflow and a well-documented information package for each patient.
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Webapp Management: Hospitals and doctors will be better informed of management updates, leading to improved communication between all three parties.

Note: Information collected from interview with Basys.ai team.

Hospital Amin
Desired Functions: customize setup and allow to track feature updates and better message sorting system.
Pain point: Less setup, testing and maintenance

Doctors/ Providers
Desired Functions: Smart therapy note layout, filtered messages, and alerts, risk prioritizing.
Pain point: Long procedure of prescription, complicated navigation through menu

Patients
Desired Functions: Better documentation of billing history, and chat and notification system.
Pain point: follow-ups treatment and cadence is hard to digest and unclearly displayed.

Mostly-heard Voices

The procedure can be more straight forward and follows a simple, streamlined workflow.

The system features smart automation for charting, patient data, and therapy templates.

The web app should offer improved communication with well-organized alerts and messages categorized by risk level.

EHR Competitor Analysis

Competitor 1: Epic
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Features:
Revenue Cycle
Managed Care
Population Health
AI & Analytics
Community Connect

Competitor 2: Biofourmis
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Features:
Remote Patient Monitoring
Digital Medicine
Decentralized Clinical Trials
Virtual Specialty Care

Competitor 3: Innovaccer
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Features:
Care Management
Physician Engagement
Patient Engagement
Command Center
Business Analytics

Medical Features

User flow

Ease of Navigation

Visual Design

Epic

Good
+ Patient feedback feature
- Patient have to download pdf to view test results

Okay
- Too many menu on the main page
- Multiple paths for prescription

Okay
+ Organization of panels/tabs is legible
- Few charting options/templates

Biofourmis

Good
+ Good reports delivery and remote patient monitoring

Good
+ Centered around patient list
- Okay prescription process
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Moderate
+ Linear navigation
- Home page is too busy

Good
+ In-depth data visualization
+ Highlighted buttons and alerts

Innovaccer

Good
+ Unified patient record
+ Well connected database

Good
+ Record and data-focused
+ Good filter functions

Good
+ Easy to find key info by filters
+ Linear navigation

Outstanding
+ In-depth data visualization
+ Structured therapy templates
+ Easy to read information

How can we create a simpler, intelligently prioritized healthcare workflow for both the patients and hospital staff?

Design-Ideate with Basys.ai team

Partnering with Basys's CEOs, we held regular design meetings to define the initial functionality of the MVP. The health record dashboard was designed with multiple panels. During the first phase of design, we mapped out the physician's journey—from patient registration through medication management to appointment scheduling.

Initial draft of Basys.ai dashboard

Defining Features for Basys.ai MVP

Dashboard
Daily data summary
Messages and alerts
Appointment reminders

Clinician profile
Mailbox
Calendar
Patient history

Patient profile
Information card
Risk Profile
Indication charts
Recent results
Diagnostic history

Patient list
Status/condition
Add to my list
Email/contact

Medication
Plans
Orders/Order history
Templates for treatment plans
Progress/discharge notes
Charts

Others
Administration
Physician handoff
Calendar
Customer support

Low-fidelity Wireframe Discussion

In the first phase, we focused on the core medical workflow: the dashboard-patient list-medication flow. The patient list and patient profile panels are the two interfaces clinicians use most frequently, with other functions organized around these central components.

First Iteration of MVP Wireframes

Third Iteration of MVP Wireframes

Low-fidelity Wireframe Second Iteration