Too Many Documents, Too Little Time?

Customizable and adaptive, HealthyData extracts critical data to slash indexing time from minutes to seconds.

Trusted by healthcare systems of all sizes, the HealthyData® solution is tailored for HIM teams to cut down on manual labor for their teams, reduce paper, and turn documents into structured, discrete data. Utilizing machine learning and OCR, HealthyData collects faxes, scans, emails, and other documents into actionable data. No templates necessary, just smart automation that learns as your team works.

Ingest

documents such as faxes, specific email inboxes, and scans

Identify

document type and data

Extract

critical data such as MRN, patient name, DOB, and more

Deliver

and routes the data downstream

Enhance

HIM workflows through reducing manual data entry

Enhance Team Performance with Intelligent Document Processing

Real-time Analytics
Dashboard

Track team productivity, accuracy, and turnaround times

Customized to
Your Workflow

HealthyData is tailored to your systems and process for maximum impact

Reduce Time on Manual Data By
Up to 90%

Automation handles the data entry so you can focus on validation and care

Automatic
Routing

Send documents to providers, work queues, specific encounters without the manual sorting

Smart Page
Handling

Auto-rotates and preps documents for fast review

On-the-Fly
Orders

Create and associate orders directly within the workflow

Continuously
Learning

The system learns from daily user interactions to improve performance

Critical Data Extraction

Finds patient name, MRN, date of birth, and more from from documents

Case Study: How a Multi-State Health System Used HealthyData to Reduce Fax Bottlenecks & Automate HIM Workflow

Learn how a Midwest health system overcame the inefficiencies of manual document processing to improve turnaround times and data accuracy. Faced with slow indexing, reliance on physical couriers, inconsistent document classification across hundreds of document types, and frequent duplicate records, the system struggled to get information into the EMR quickly. These delays raised concerns about patient care and data integrity. Discover how the organization identified the need for a streamlined, automated solution to transform its workflow and reduce time to EMR.

 

Read the Case Study