PhysIQ

Doctors spend more time with their charts than they do with their patients and our goal is to change that. With PhysIQ, we hope to make the patient-provider exchange more meaningful and personalized.

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Inspiration

We want to make patient-physician interactions more efficient so that the doctors can spend more time with the patient than they do with the charts to make healthcare a more meaningful experience for both the patient and the provider.

What it does

For Physicians: AI-generated smart prompts help streamline note-taking. Text-to-speech (TTS) transcription automatically records physician dictations and converts them into structured medical notes. AI learns from physician's past notes to provide structure and fill ins for easy charting. Physicians can check off symptoms, and AI autogenerates medical notes, reducing documentation time. ✅ Seamless EMR Integration AI-generated notes can be copied or exported for integration with Electronic Medical Records (EMR) systems. Improves efficiency, allowing physicians to focus on patient care rather than documentation. In the future will allow seamless connection between other EMR's such as CareVue and Epic. For Patients: Patients can select symptoms from an extensive list. AI analyzes the selected symptoms and provides a possible diagnosis based on medical databases. ✅ Personalized Healthcare Advice AI generates self-care recommendations based on symptoms. Offers guidance on when to seek medical attention. Provides home remedies for minor ailments.

How we built it

Open AI - GPT 4.0 for AI scribing and symptom diagnosis
React - Front and Back end for Physician side Python - Backend for patient portal's API processing
Streamlit - Frontend for patient portal's smooth user experience

Challenges we ran into

We originally wanted our code to generate as the physician took notes, however, we found that this wasn't possible with our time constraints so we changed our idea to generate templates that match the physicians notes taking style.

Accomplishments that we're proud of

One thing we are particularly proud of is our text-to-speech feature which takes the conversation between the doctor and patient and transcribes it into notes in the doctor's style of notes.

Overall, we are proud of all our work and progress. We got to implement almost all of the features we had originally planned to include in our solution.

What we learned

We learned how to balance our workload to suit each other's skills and made use of AI in our implementation in order to provide a more efficient interface for doctors and patients alike to give and recieve quality healthcare.

What's next for PhysIQ

Integration between patient health records and patient portal to provide more accurate diagnoses Autogenerated prompts for EMR records, based on previously charted entries Mobile compatibility

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