Nattal provides a digital prenatal card platform that digitizes obstetric care using AI-powered automation and secure data management. It streamlines data entry, exam result processing, and patient communication, enabling healthcare providers to focus on clinical decision-making and improve patient engagement.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional prenatal care relies on paper-based records, leading to inefficiencies in data management and patient communication. This fragmented approach can hinder timely access to critical medical information for both healthcare providers and expectant mothers, potentially impacting the quality of care.
Solution
Nattal offers a digital prenatal card platform designed to streamline obstetric care through AI-powered automation and secure data management. The platform digitizes the entire prenatal journey, from anamnesis to exam result processing, eliminating paper records and enhancing patient engagement. By leveraging advanced AI, Nattal automates routine data entry and analysis, freeing up clinicians to focus on patient interaction and clinical decision-making. Secure data storage and controlled sharing capabilities ensure that all parties have access to accurate, up-to-date information, improving care coordination and patient experience.
Target Audience
Nattal targets obstetricians and healthcare providers managing prenatal care, aiming to enhance their workflow efficiency and patient communication through a digital, AI-enhanced platform.
Features
- AI-driven anamnesis processing via natural language input, automatically populating structured medical data.
- AI-powered extraction and interpretation of laboratory exam results from PDF documents, organizing them chronologically.
- Integrated secure messaging system for direct communication and information sharing between physicians and patients.
- Comprehensive digital prenatal card generation with detailed medical history, including obstetric antecedents, exams, and ultrasounds.
- Secure, role-based data sharing capabilities allowing controlled access for other physicians and the patient.
- PDF and text export functionality for seamless integration with existing Electronic Health Record (EHR) systems.
- Automated gestational age calculation based on DUM and DPP, with calendar tools for delivery planning.
- End-to-end encryption (AES-256 for data at rest, TLS 1.3 for data in transit) and adherence to LGPD regulations for data privacy and security.
- Zero-knowledge architecture preventing internal access to sensitive patient data.