I’m building NexisHealth.ai, a HIPAA-compliant iOS and Android application that pulls a patient’s electronic health records in real time, listens to the appointment through the device microphone, transcribes the conversation instantly, and injects safety guidance on the spot. Whenever the dialogue reveals a potential medical collision—be it a medication, an allergy, or an existing diagnosis—the app must flag it immediately. For medication errors the first release only needs drug interaction alerts; dosage verification and duplicate-therapy checks can wait until a later milestone. After each visit the system should generate an English- and Spanish-language consolidation report that summarises the transcript, the interventions triggered, and any outstanding follow-up items. Key scope • Cross-platform mobile build (React Native, Flutter or similar) • Secure EHR connectivity via standard FHIR / OAuth workflows • Streaming speech-to-text engine with medical vocabulary support • Real-time AI safety engine focused on interactions among medications, allergies and diagnoses • Post-visit report generation and secure cloud storage Acceptance criteria 1. Appointment audio is transcribed with <5 s latency and ≥95 % accuracy in both languages. 2. AI raises drug interaction alerts with a demonstrable precision/recall benchmark against a test set. 3. All PHI stays encrypted in transit and at rest, passing a HIPAA compliance checklist. 4. Consolidation report is delivered to the user’s device and pushes to their patient portal within two minutes of session end. If you have proven experience marrying mobile apps with EHR data, real-time speech processing, and clinical safety logic, let’s talk about timelines and next steps.