If you need a way to turn unstructured medical documents into structured data for better analysis and insights, Consensus is a top contender. It uses sophisticated NLP and AI technology to convert unstructured documents into structured data, unlocking insights that can improve patient care and health care decision making. Consensus also comes with a range of tools, including HIPAA-compliant digital cloud faxing, secure messaging and data exchange networks, that help health care providers improve interoperability, reduce manual work and stay compliant with regulations.
Another top pick is Abridge. This generative AI platform converts clinical conversations into structured notes that can be easily integrated with Epic systems. It can generate notes in real time, support multiple languages and provide clinically validated summaries across multiple specialties. Abridge relieves clinician documentation burdens so they can focus on patients instead of paperwork, and it comes with features like HIPAA compliance, secure cloud storage and analytics to help with work-life balance and better care quality.
If you're looking for a more general-purpose data extraction tool, check out DATAKU. It uses Large Language Models to convert unstructured text and documents into structured data at scale. DATAKU has tools like Document Insights and Text Intelligence, but it's broad enough to be used in many areas, including health care. The service comes in a variety of pricing plans to accommodate different needs and budgets, and it can automate data processing, personalize patient care and inform strategic decisions.
Last, Nanonets is an AI-powered automation platform that extracts valuable insights from unstructured data across multiple sources. It includes advanced AI-driven data extraction, data enrichment and smart decision engines for efficient file review and validation. Nanonets protects data confidentiality and integrity by adhering to strict compliance standards, including HIPAA, so it's a good option for health care organizations that need to organize medical data and improve efficiency.