Aldebaran provides an AI‑powered pre‑consultation platform that automatically sends clinically validated questionnaires to patients after appointment booking and compiles their responses into structured reports with symptom clusters, risk scores, and suggested billing codes. The reports are delivered via secure, RGPD‑compliant APIs into existing EHR or practice‑management systems, enabling clinicians to review patient information before the visit and improve workflow efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often begin appointments without a clear, structured view of the patient’s current health concerns, leading to missed information, longer consultations, and inefficient use of medical time. Patients may forget to mention relevant symptoms or risk factors when arriving for their visit, reducing the quality of the encounter.
Solution
Aldebaran offers an AI‑driven pre‑consultation platform that automatically delivers validated clinical questionnaires to patients after they schedule an appointment. The system captures responses, applies medical logic to generate a structured synthesis—including symptom summaries, risk scores, and billing code suggestions—and transmits the report to the practitioner’s practice management software. By front‑loading data collection, the platform enables clinicians to review patient needs in advance, prioritize discussion points, and allocate appropriate consultation time. The solution also supports chronic disease monitoring, acute care triage, and preventive screening through disease‑specific questionnaire sets. All data are stored on a French‑hosted, HDS‑certified infrastructure compliant with RGPD and CNIL regulations, ensuring privacy and legal conformity.
Target Audience
The primary users are primary care physicians, specialists, and medical clinics that manage outpatient appointments and seek to streamline pre‑visit data collection. It also serves patients who wish to prepare for their consultations by providing structured health information in advance.
Features
- Library of over 15 000 clinically validated questions covering chronic conditions, acute presentations, and preventive screenings (e.g., PHQ‑9, GAD‑7, STOP‑BANG).
- Automated questionnaire dispatch via SMS or email triggered by appointment booking integrations (Doctolib, MadeForMe, Maiia).
- AI‑powered synthesis engine that structures patient inputs into symptom clusters, risk indices, and suggested CPT/CCAM codings.
- Secure, HIPAA‑equivalent data handling with end‑to‑end encryption, French HDS hosting, and full RGPD/CNIL compliance.
- Interoperability layer that pushes synthesized reports into existing EHR or practice management systems via standard APIs (FHIR‑compatible).
- Real‑time alerts for high‑risk responses and preventive care gaps, enabling proactive clinical decision support.
- Dashboard for clinicians to view aggregated patient data, track questionnaire completion rates, and monitor workflow efficiency.