Hyland Intelligent Clinical Results Extraction

High volumes of external lab and diagnostic results received via paper, fax and email make it difficult to deliver timely, accurate, structured data into the electronic health record (EHR). Manual transcription is time-consuming, error-prone and hard to scale without adding staff.

Hyland Intelligent Clinical Results Extraction captures discrete lab and diagnostic result values from external documents and delivers them into the EHR. Using OCR and large language models (LLMs) with human-in-the-loop validation, it reduces manual transcription while preserving clinical oversight and data quality.

Key benefits

• Accelerate clinical workflows: Speed delivery of structured result values into the EHR

• Improve accuracy and reduce rework: Minimize transcription errors with extraction and validation

• Reduce staff burden and cost: Automate high-volume manual data entry

• Strengthen quality and governance: Preserve clinical oversight with human-in-the-loop review

• Scale across lab formats: Adapt to diverse results without constant template maintenance

1. Capture external lab and diagnostic results from paper, fax and email.

2. Recognition reads printed text, tables and key result fields.

3. Classification via Hyland Intelligent MedRecords identifies the document type and routes to the right workflow.

4. Extraction structures discrete result values for downstream clinical workflows.

5. Validation applies human‑in‑the‑loop review.

6. Matches the document to the right patient via Intelligent MedRecords.

7. Posts structured results to the EHR via Hyland OnBase.

This results in faster, more accurate transcription that scales without adding staff.

• High-volume results intake: Paper, fax and email results arriving from external labs and referring providers

• Discrete data capture for priority tests: Results that directly impact patient care, quality reporting and longitudinal tracking

• Staffing-constrained transcription teams: Reduce backlog and scale throughput without adding FTEs

• Solicited and unsolicited workflows: Support both ordered and unsolicited results with review and routing

Differentiators

• LLM-assisted extraction (not template maintenance): Adapts to diverse lab formats without constant reconfiguration

• Human-in-the-loop validation: Preserves clinical oversight while increasing throughput

• Designed for real-world intake: Handles multipage submissions and department variability across acute and specialty workflows

• Built to scale structured data capture: Expand discrete transcription over time without scaling staff

We help healthcare organizations unify content, workflow and intelligence to reduce manual work and accelerate time to clinical action. Intelligent Clinical Results Extraction extends that foundation by converting external lab and diagnostic documents into validated, discrete EHR data — improving speed and accuracy without adding staff.