AI Powered Medical Documentation Automation

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Medronix – Medical Document Automation
Turn faxes, scanned documents, and blocks of text into healthcare information and use automation to act. Simply put,
Medronix reads this data and extracts the information that is important to you and integrates with your EHR.
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Medical Document Automation

Despite substantial investments in electronic health records, paper-based and unstructured data continue to predominate in healthcare information sharing. Healthcare businesses are increasingly turning to AI-Powered Medical Documentation Automation to address this difficulty. By leveraging cutting-edge picture recognition and document analysis technologies, this innovative solution streamlines data administration, improves data security, and ensures efficiency. With our unique AI-powered solution, you can say goodbye to paper-driven inefficiencies and welcome the future of healthcare data management.

Our Solution

Medronix recognizes and extracts healthcare information from papers, faxes, and narrative reports using cutting-edge public cloud artificial intelligence and machine learning. By incorporating Medronix into your workflow, you may increase patient care and clinical efficiencies while retaining security and confidentiality. Our AI Medical Documentation Processing solution allows you to focus on higher-value patient-care tasks rather than document processing. Medronix's AI and language processing models are always changing and improving because it uses the public cloud.

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How Medronix AI Works

Medronix uses the latest in AI and Natural Language Processing (NLP) to intelligently extract information from faxes, scanned documents and narrative text and automates routing and action.

  • Turns document images such as faxes and scans into readable text using the latest recognition capabilities
  • Identifies discreet data within the documents using NLP to understand the context
  • Supports human in the loop when recognition or extraction confidence is below required thresholds
  • Integrates with EHRs and other systems to provide further confidence when matching patients, integration to workflows etc.