Heidi Practice Hub – The Missing Third Pillar Heidi already owns two of the three pillars required for an AI-native private practice platform: Scribe (documentation, letters and evidence generation) and Comms (patient communication, booking and virtual consultations). What is missing is the patient record that connects them. Today, consultants running private practices often use three or four separate systems to manage a patient from referral to follow-up. A lightweight Heidi Practice Hub would allow the entire workflow to live within one ecosystem. This is not a proposal for Heidi to become a traditional hospital EHR. Rather, it is an extension of Heidi’s existing architecture that completes the clinical workflow for consultant private practice. I am establishing a fully private respiratory practice in Ireland and would be delighted to act as an early pilot site if this aligns with Heidi’s roadmap. Core Capabilities Patient Record • Demographics (name, DOB, address, phone) • GP and insurer details • Hospital identifiers where relevant Patient Timeline A chronological record containing referrals, investigation results, correspondence, consent forms and Scribe-generated clinic letters. Microsoft 365 Integration Letters generated in Scribe are emailed directly from the consultant’s Outlook account and automatically filed against the patient’s record. Incoming correspondence is linked back to the same patient. AI Inbox Processing Incoming referrals and results are analysed by AI to extract demographics, identify document type and match them to the correct patient. Low-confidence matches are placed into a review queue rather than filed automatically. Native Comms Integration Appointments, confirmations, virtual consultations and patient messaging are linked directly to the patient record. Workflow Enhancements • Referral triage: Consultants prioritise referrals (urgent/soon/routine), creating an intelligent waiting list rather than simple FIFO scheduling. • Recall management: Structured follow-up workflows (e.g. review in 6 weeks, repeat CT in 12 months) integrated with Comms. • Digital forms: Consent, insurance forms and specialty questionnaires (e.g. Epworth Sleepiness Scale) completed before clinic and stored automatically. • Investigation requests: Scribe generates populated request forms (PFTs, CT, bronchoscopy, sleep studies etc.), sends them via Outlook and links returned results automatically. • Prescription generation: Produce printable or emailable PDF prescriptions that are stored within the patient record. Why This Fits Heidi Scribe already creates the documentation. Comms already manages patient interaction. Practice Hub becomes the patient-index layer that connects everything together. Rather than creating a new product category, this extends Heidi into the operational home of a consultant’s private practice, increasing customer value and creating opportunities for future AI-powered workflow. Requirements • GDPR-compliant EU hosting and Data Processing Agreement • ISO 27001/SOC 2 • HL7 v2/FHIR interoperability • SNOMED CT/ICD-10 support • Robust patient matching and duplicate management • Role-based access, MFA and full audit trail • Explicit consent management and AI confirmation for uncertain document matching • Backup/disaster recovery, billing hooks and migration tools Vision With structured patient records, Heidi could expand AI beyond documentation to provide longitudinal patient summaries, identify overdue investigations, highlight abnormal results, draft correspondence and generate patient-friendly summaries. Even an initial release focused on patient demographics, document storage and seamless Microsoft 365 integration would dramatically reduce administrative burden for private consultants while completing Heidi’s vision as an AI-native platform for modern private practice.
