Previza - 2026 Pricing, Features, Reviews & Alternatives

Previza is a cloud-based AI-powered digital anamnesis and patient intake platform designed for individual doctors, medical clinics, and large clinic networks across ten medical specialties. Before each appointment, patients complete a guided adaptive conversation in natural language; the system adjusts each question based on the previous answer and applies specialty-specific question logic tailored to fields including Cardiology, Gastroenterology, Neurology, Internal Medicine, Endocrinology, Family Medicine, Pediatrics, Pulmonology, Rheumatology, and Psychiatry. The resulting structured clinical summary, organized into sections covering reason for visit, history, medication, and background, is delivered to the doctor before the consultation begins. No software installation is required on practice computers. All data is processed on EU-based cloud infrastructure with end-to-end AES encryption in transit and at rest.

Previza does not make diagnoses or clinical decisions; all clinical responsibility remains with the doctor. The platform automatically flags allergies and abnormal values within the summary. An assisted completion mode allows a family member or clinic staff member to complete the intake conversation on a tablet when the patient cannot do so independently. Role-based access control governs who can view summaries within a clinic or network. A built-in savings calculator allows clinics to estimate time and capacity gains based on their consultation volume.

Previza operates under a zero-retention data policy: summaries are delivered to the clinic and are not stored, shared, or used to train AI models. Explicit patient consent, EU infrastructure, end-to-end encryption, and the zero-retention policy together address GDPR compliance requirements. Enterprise onboarding support is available for multi-doctor networks, with setup and staff training completed in a matter of days and no complex technical process required. If a patient does not complete the pre-appointment conversation, the consultation proceeds as normal with no disruption to existing workflow.