




Collect or forward your emailed authorization to release medical information to your Nanonets Inbox.
Snap a picture and Nanonets will take care of the rest.
Accurately capture predefined labels with Artificial Intelligence. Reconcile data across sources.

Here are some fields Nanonets can extract by default. Say goodbye to manual data entry. Additional fields can also be extracted on request.







Learn more about authorization to release medical information automation & how Nanonets can help.
An automated workflow for processing medical release authorizations is a streamlined, digital process minimizing manual intervention from the moment an Authorization To Release Medical Information (ATROI) form is received to when its data is extracted and utilized.
It typically involves:
AI significantly enhances both the accuracy and efficiency of extracting data from medical authorizations by moving beyond traditional rules-based systems or basic OCR, which struggle with form variability and complexity.
Enhanced Accuracy:
Enhanced Efficiency:
By leveraging AI, as is central to Nanonets' capabilities, healthcare providers ensure critical information from medical authorizations is extracted faster, with greater accuracy, and minimal human intervention, leading to improved operational efficiency and patient care.
An Authorization To Release Medical Information (ATROI) form is a crucial legal document granting explicit patient consent for a healthcare provider to disclose their Protected Health Information (PHI) to a specified third party.
Purpose of an ATROI:
Why Automating Processing is Important:
Automating ATROI processing is vital due to its impact on efficiency, compliance, patient care, and cost:
Automating ATROI processing transforms a bottleneck into a seamless, secure, and compliant data flow, benefiting patients, providers, and payers.
The accuracy of OCR (Optical Character Recognition) for extracting critical data from medical authorization forms varies significantly by OCR type and document quality. While traditional OCR struggles, advanced AI-driven OCR combined with Intelligent Document Processing (IDP) offers remarkably high accuracy, even for challenging formats.
In summary, while traditional OCR has limitations, modern AI-powered IDP platforms like Nanonets significantly elevate accuracy across all medical authorization form formats, making automated data extraction from scanned, faxed, and even handwritten documents practical and efficient.
Yes, absolutely. Modern Intelligent Document Processing (IDP) solutions are specifically designed to identify and extract a wide array of specific data fields from medical authorization forms, moving far beyond simple text recognition. This granular data extraction is precisely what makes them invaluable for automating healthcare workflows.
An advanced IDP platform like Nanonets can accurately extract all the critical data fields you listed, and more:
How IDP Solutions Achieve This:
This granular extraction transforms unstructured forms into actionable, structured data, ready for seamless integration into EHR/EMR systems and other healthcare applications.
When selecting a medical authorization automation platform, especially for sensitive PHI, several features are crucial for accuracy, compliance, efficiency, and scalability.
Key features:
By prioritizing these, particularly the AI-driven capabilities and robust security of platforms like Nanonets, healthcare organizations build highly effective, compliant automation.
Automated data extraction from Authorization To Release Medical Information (ATROI) forms significantly improves compliance with HIPAA and GDPR by enhancing data integrity, security, and accountability throughout the data lifecycle.
By integrating intelligent automation, healthcare organizations create a more secure, transparent, and accurate data handling environment for medical authorizations, significantly bolstering their adherence to critical regulations.
Automating data extraction from Authorization To Release Medical Information (ATROI) forms offers a multitude of significant benefits for healthcare organizations, impacting efficiency, compliance, financial health, and patient care.
Primary advantages:
By leveraging solutions like Nanonets for automated data extraction, healthcare organizations transform ATROI processing into a highly efficient, accurate, and compliant operation.
Automated data extraction from Authorization To Release Medical Information (ATROI) forms addresses several critical pain points in healthcare administration, offering significant efficiency and compliance benefits across various departments.
Common use cases:
By leveraging an IDP solution like Nanonets, healthcare providers automate these crucial use cases, transforming a burdensome administrative task into a highly efficient, accurate, and compliant process.
The leading software platforms for automating data extraction from medical information release authorizations are typically Intelligent Document Processing (IDP) solutions that combine advanced OCR, AI, and workflow automation specifically tailored for document-heavy processes in regulated industries like healthcare.
Prominent platforms:
For developers: Cloud-based AI/ML services like Google Cloud Document AI and Amazon Textract offer powerful underlying AI capabilities, though they require more development effort for full workflow integration.
When evaluating platforms, prioritize AI-powered accuracy (especially for handwriting and scans), strong security and compliance certifications, flexible integration options with existing EHR/EMR systems, and scalable workflow automation. Nanonets is designed to meet these stringent requirements for healthcare document automation.