Dynaccurate automates the management and reconciliation of evolving medical codes, clinical terminologies, and controlled vocabularies. Their AI-powered platform reduces manual effort by quickly identifying and applying equivalent, up-to-date terms across various health and life sciences applications, such as maintaining knowledge graphs and ensuring accurate electronic patient records. This ensures data consistency and facilitates seamless medical data sharing.
Funding
$170K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Managing and reconciling the constantly evolving landscape of medical codes, clinical terminologies, and controlled vocabularies is a significant challenge. Manual processes for identifying and applying equivalent, up-to-date terms across various health and life sciences applications are time-consuming and prone to error. Inconsistent data arising from outdated or inaccurate coding hinders interoperability and can compromise the integrity of electronic patient records and knowledge graphs.
Solution
Dynaccurate offers an AI-powered platform that automates the management and harmonization of clinical terminologies, medications, and identifiers. The platform streamlines the process of identifying and mapping equivalent terms across different coding systems, ensuring data consistency and accuracy. By automating terminology updates and reconciliation, Dynaccurate reduces manual effort, minimizes errors, and facilitates seamless data sharing across healthcare applications. The system supports industry standards such as SNOMED, ICD, LOINC, and UMLS, as well as custom clinical terminologies.
Target Audience
Dynaccurate targets healthcare providers, hospitals, clinical research organizations, and pharmaceutical companies seeking to improve data quality, streamline terminology management, and enhance interoperability across their systems.
Features
- AI-powered auto-coding for precise clinical notation and terminology mapping
- Automated ingestion and versioning of industry-standard terminologies (SNOMED, ICD, LOINC, UMLS)
- Tools to convert existing database schemas for simplified data ingestion
- Modular architecture allowing standalone use or integration with existing systems
- Blockchain-based consent management for secure and transparent patient data handling
- Oncology platform with chemotherapy cycle and therapy templates
- Electronic Patient Record (EPR) module enhanced with AI-powered auto-coding
- REST APIs for integration with existing healthcare IT infrastructure