Intelligent MedRecords: Improve the speed and accuracy of HIM tasks
Solution easily manages the high volumes and diverse formats of patient information that flow through healthcare organizations.
Introduction
Is your healthcare organization struggling to overcome bottlenecks caused by inefficient document processing? Are the delays impacting patient care and leading to higher costs?
We have a solution for that.
Hyland Intelligent MedRecords leverages AI-driven automated classification to enhance the accuracy, speed and consistency of essential health information management (HIM) tasks. The solution automatically identifies and assigns unindexed documents to document types, with the option to also read visit numbers and patient identifiers.
Exceptions are routed to staff for review and validation of automated classification. The Intelligent MedRecords solution easily manages the high volumes and diverse formats of patient information that originate inside and outside of healthcare organizations.
Hyland Content Innovation Cloud™
The platform to power content innovation
Content Innovation Cloud is the future of enterprise content management. By leveraging a unified content, process and application intelligence platform, your organization can unlock profound insights from enterprise content and unstructured data — fueling innovation without disruption.
Key benefits
Intelligent MedRecords utilizes the power of the Hyland Content Innovation Cloud™ to deliver generative AI-powered document capture, separation, classification and data extraction technology.
Provides consistent document classification
It doesn’t matter how medical record documents enter Hyland OnBase — they can be imported by fax, through a sweep or uploaded at a centralized scanning center. Once in the system, Intelligent MedRecords, built on the Content Innovation Cloud, uses generative AI and large language models (LLMs) to rapidly separate documents, classify and assign a document type.
If the solution is unable to classify a document, or if it recognizes multiple classifications, it routes the exception for manual review within OnBase. The solution presents all information for verification by HIM staff before exporting documents to the electronic health record (EHR).
> Learn more: How AI can be a catalyst for change in healthcare
Manages high volumes of diverse document formats
The HIM department is responsible for maintaining a healthcare organization’s legal medical record. Consistent document classification ensures the information that routes to the EHR is correct and assigned to the right patient — whether it’s a patient’s EKG, a provider’s progress notes or a surgical consent form.
> Automation in action: Intelligent MedRecords is smart addition for M Health Fairview
Hyland helps health system save six figures in first year
Asante processes millions of documents a year — creating a strong need for efficient workflows. With Hyland Intelligent MedRecords, the health system saved $200,000 in its first year with automation and reduced the time it takes to process 20 pages of records by 90%.
Improves accuracy and speed
More than 75% of patient information is trapped in unstructured documents. Managing this information accurately is critical to the HIM department’s ability to maintain legal medical records. Being able to do so quickly, however, offers organizations a competitive advantage.
All data that is scanned, classified and indexed by the Hyland solution is immediately available to support needs across the enterprise, and there’s a complete audit trail to aid compliance with patient privacy and security. LLM-powered classification, separation and extraction with intelligent field suggestions improve processing efficiency and reduce the need for human intervention.
> Learn more | How connected data can help improve patient outcomes
Make time for what matters most
Healthcare organizations face increased competition, rising costs and workforce challenges. By automating classification tasks, Intelligent MedRecords can provide an edge over organizations that still rely on slow, inefficient and error-prone manual classification processes.
Accurate information routes to the EHR faster, and HIM staff have more time for higher-value work.
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