When patients are dealing with multiple visits, reports, and prescriptions, it is hard to track what matters, what changed, and what to ask the doctor next. This app helps patients keep their information together, understand their care plan better, and show up prepared for clinical discussions.
Why this app is useful in real life
Patient Co-Pilot is designed to reduce confusion and make follow-up visits more productive:
- Record and transcribe doctor conversations.
- Digest and Keep documents, transcript files, and medication-related notes in one place.
- Build a structured patient summary from selected sources (timeline, mention points, and medication points).
- Turn scattered information into practical follow-up questions for the next visit.
- Support patient education with patient clinical source-restricted Q&A so patients can better understand their condition and care context without scattered chats with AI chat bots.
This improves continuity between visits and helps patients extract value from complex clinical data instead of feeling lost in it.
Patient Co-Pilot is especially useful for people managing cancer and other complex diseases, where decisions depend on many reports, specialist opinions, and medication changes over time. It is also useful for patients and families with less experience in public care systems and hospitalization workflows, because it creates a clearer path from “I have many documents” to “I understand where I am, what to ask and what to discuss next.”
Safety and clinical boundaries
The app is intentionally designed to support the patient without interfering with clinician decision-making:
- It does not replace diagnosis, prognosis, or treatment planning.
- It uses review and source controls before downstream AI features.
- It keeps patient-facing and clinician-facing exports separated where needed.
- It focuses on helping patients ask better questions and understand guidance, not giving independent medical directives.
In short, it acts as a patient companion for organization and education, while preserving the doctor’s role in clinical judgment.
Technical snapshot
The current implementation is a mobile app built with React Native/Expo, with core workflows for transcript capture, document import, patient-summary generation, and constrained Q&A.
GitHub repository: nimadarbandi/CopilotApp
Screenshot placeholders
I left these placeholders so screenshots can be dropped in quickly once ready:
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