Hyland unveils AI tools to streamline hospital admin

Hyland has launched two new AI products for healthcare providers, aimed at medical record processing and revenue cycle correspondence as hospitals expand day-to-day automation.

The company introduced Intelligent MedRecords and Intelligent Correspondence for Revenue Cycle on its Content Innovation Cloud. It positioned the releases for health information management and finance operations teams that manage high volumes of documents and data.

Hospitals and health systems continue to face clinician workload pressure, staffing constraints, and tighter margins. Many providers are investing in workflow automation and AI for administrative tasks, often starting with intake, coding, billing, and records management, where large amounts of unstructured information can slow processes.

Both products use generative AI and automation to process documents and extract data for downstream systems. They also include a prompt-based interface for configuring automations.

Medical records

Intelligent MedRecords targets the steps between incoming clinical documents and the point when information becomes available in electronic health record systems. Medical record processing often requires manual sorting, classification, and data entry, which can create delays for clinical teams and backlogs for health information management staff.

The product uses AI for document capture, classification, and data extraction, and it verifies extracted data. Hyland said this approach can reduce errors and rework.

Hyland said the product reduces time spent on repetitive document handling and improves clinicians' access to information by pushing cleaned data into EHRs.

"Hyland has a long history of pioneering advancements in automation, and we're now setting a new standard for AI-driven innovation in healthcare," said Michael Campbell, Chief Product Officer at Hyland.

OU Health said it plans to apply the products to medical records and billing correspondence as initial use cases, as it expands AI adoption across the organisation.

"Hyland Intelligent MedRecords and Intelligent Correspondence for Revenue Cycle will be game‐changers for our organisation, automating medical record capture and classification, reducing manual work, eliminating bottlenecks, delivering accurate information to clinicians faster," said Julie Barnett, Vice President of Enterprise Business Solutions at OU Health.

Revenue cycle

Intelligent Correspondence for Revenue Cycle focuses on the administrative flow of documents tied to billing and reimbursement. Hyland said it automates intake and processing of faxes, lockbox files, and emails from payer and patient interactions.

Revenue cycle operations often require staff to open, triage, and extract information from varied formats before routing it for follow-up. This can slow response times and increase the risk of missing information. Hyland said its product reduces manual handling and speeds data extraction.

Hyland also said automation can improve staff experience by removing repetitive tasks that contribute to burnout in teams handling high volumes of inbound correspondence. It also linked faster processing of billing-related documents to a better patient experience through quicker follow-up.

Hyland also cited sustainability benefits, saying reduced paper handling and storage requirements can cut physical filing and archiving needs for organisations with paper-heavy processes.

Market context

Healthcare providers are increasingly looking for AI tools that integrate with operational systems rather than staying in isolated analytics projects. Adoption remains uneven, with governance and safety constraints shaping deployment choices. Limited IT capacity has also pushed vendors to emphasise configuration and workflow tools that smaller teams can roll out.

IDC said enterprise-scale AI in healthcare depends on unified platforms and integration across systems.

"Healthcare organisations are increasingly utilising AI-driven automation, where AI doesn't just analyse data, but is actively assisting in orchestrating workflows across operational, administrative, and supervised clinical domains," said Mutaz Shegewi, Senior Research Director, Worldwide Healthcare Provider AI, Platforms and Technologies at IDC. "This kind of healthcare transformation depends on unified platforms that bring together trusted data, intelligent content services, and governed AI, integrated across enterprise systems, to operate at scale within regulatory and safety constraints."

Hyland said both products run on its AI-native Content Innovation Cloud and share a prompt-based interface for designing automations. It positioned the interface as a way to speed deployment when IT resources are limited.

Hyland is rolling out the products as part of a broader push to apply AI to document-heavy healthcare workflows, focusing on health information management and revenue cycle operations where providers are seeking near-term operational improvements.