ER Chatbot

Happy Neuron

Melissa

Business Lead

Kemberly

Business Lead

Yuhang

Research Lead

Rocel

Research Lead

Erica

UX Lead

Yui

Tech Lead

Since 1997, emergency room visits in America have surged over 60%, approximating to about 146 million a year. Persistently high waiting times persist.

Long wait times in ERs:

  • Delayed care

  • Patients leaving without treatment

ER overcrowding:

  • Improve the quality of emergency care

  • Reduce patient risks and morbidity

Significance

Hypothesis

Problems

“ Our product will use AI to streamline emergency room visits by offering personalized triage and directing patients to the nearest, less crowded ERs, enhancing efficiency and reducing wait times in emergency healthcare..”

Research 


How long have you waited in the ER before getting treatment?

Would you be willing to share your patient symptoms to a third-party app or system not directly connected to ERs?

What would factor into your decision of going to a specific ER location?

Survey

x10

x2


Healthcare providers

Participants

Emergency Rooms

Access

Wait Times

Communication

Expenses

Finding:

ER wait times for some ERs and hospitals are currently available and accessible through their websites. There is also an ER Ticker website that uses ER wait times on hospital and ER websites to provide a platform that consolidates this information



x15

Posting wait times on websites

Appointments

Clinical communication

Transparency

Convenience

Expectation Management

Reduced Wait Times

Efficiency

Personalization

Coordinated Care

Faster Decision Making

Patient Safety

Accuracy Concerns

Misinterpretation

Increased Traffic

Emergencies Can't Wait

Booking Challenges

Resource Allocation

Privacy Concerns

Implementation Cost

Training Needs

pros

cons

Would you be willing to share relevant patient information such as medical history or medical data?

Logic Flowchart

User Feedback

Would you say this app is a “Must-Have” or a “Nice-to-Have”?

How helpful would this application be to you?

AI-powered ER Chatbot

  • Quicker, personalized ER recommendation

  • Symptom checking, wait times management







  • Location services

  • Accessable health profiles

Limitations

  • Direct data integration between ERs and app is lacking.

  • Potential for delayed wait times due to infrequent hospital updates.

  • Limits personalized user experiences and quick ER transitions.

  • Operates without direct ER access.

  • Uses wait time data from hospital websites.

  • Enables user-input of insurance, allergies, and medical history.

Future Plans


As we look to the future, our first step involves engaging directly with hospital executives. Our goal is to secure permission to integrate our services with their emergency departments. Our next phase involves bringing our concepts to life. Every idea that's currently illustrated in Figma and outlined in our flowcharts will be transformed into a tangible, working application.for example, We're exploring the integration of existing health APIs to enrich our app's personalization capabilities.

Persona


AI-Powered Assistance

Ratings

AI

Location-Based Service

Ideation

Health Profile Integration

Wait times

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