Bingli provides an AI‑driven platform that conducts multilingual, dynamic patient interviews before appointments, producing structured medical histories, risk scores, and care‑navigation recommendations. The output integrates with EHRs and clinician dashboards, helping hospitals, clinics, and telehealth services streamline intake and improve diagnostic efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers often spend significant time gathering patient histories, leading to inefficient workflows, delayed diagnoses, and patient frustration, especially when patients are unprepared or language barriers exist.
Solution
Bingli offers an AI‑driven medical history and anamnesis platform that conducts dynamic, structured interviews with patients before their appointment. The system generates risk scores, preliminary assessments, and care‑navigation recommendations, allowing clinicians to review a diagnostic landscape in advance. Patients can complete the interview at home, in their preferred language, and with support from caregivers, improving engagement and data completeness. By automating the interview workflow, Bingli accelerates diagnosis, directs patients to the appropriate provider, and enhances clinical productivity while preserving an empathetic experience.
Target Audience
Primary users are hospitals, clinics, and outpatient providers seeking to streamline patient intake and improve diagnostic efficiency, as well as telehealth platforms that require pre‑visit data collection.
Features
- AI‑guided, dynamic questionnaire builder that combines fixed and adaptive assessment items
- Multilingual patient interface enabling at‑home completion with caregiver assistance
- Automated generation of structured anamnesis, risk scores, and care‑navigation suggestions
- Integration-ready output that can be imported into electronic health record systems or clinician dashboards
- Real‑time analytics highlighting diagnostic landscape to help clinicians consider broader differentials