This startup provides AI-powered software that assists medical professionals with diagnosis and treatment planning. It analyzes patient data and discharge letters to offer individualized diagnostic suggestions and therapy recommendations, helping doctors predict treatment courses.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals and emergency rooms face challenges in optimizing clinical decisions, ensuring adherence to medical guidelines, and accurately capturing billing data, which can lead to errors, inefficiencies, and revenue loss. The complexity of patient data and the need for rapid decision-making in emergency settings exacerbate these issues.
Solution
Dianovi offers an AI-powered platform designed to support medical professionals in clinical decision-making and billing optimization, seamlessly integrating into existing workflows. The platform uses AI agents to analyze patient data, including doctor's letters and discharge summaries, providing real-time recommendations based on current guidelines. Dianovi's modules for the emergency room, dianoviQM and dianoviCDS, offer intelligent review of medical documents, analysis of treatment errors, guideline-based correction suggestions, and optimized documentation for billing. The platform helps hospitals improve medical and economic quality assurance, streamline workflows, and maximize revenue capture.
Target Audience
Dianovi targets hospitals, emergency rooms, and healthcare providers seeking to improve clinical decision-making, optimize billing processes, and enhance overall efficiency.
Features
- Intelligent review of doctor's letters and discharge summaries to identify errors and inconsistencies.
- Analysis of treatment, diagnosis, and therapy errors to improve patient care.
- Guideline-based correction suggestions to ensure adherence to medical standards.
- Automated EBM coding for accurate and MD-compliant billing.
- Individualized diagnostic suggestions and guideline-compliant treatment steps.
- Real-time recommendations for medical decision-making based on current guidelines.
- Automated analysis of medical and billing-relevant KPIs, differentiated by specialty and treatment focus.
- Open interfaces for seamless integration with existing hospital information systems.
- Data security compliant with ISO 13485 and DSGVO standards.