Healthcare Automation - Patient Registration

Target AI to streamline and optimize patient registration process

Analyze patient registration processes to identify areas for improvement and enhance patient experience.

Manage revenue, optimize utilization, and reduce costs with healthcare automation

Despite healthcare providers’ attempts to go 100% digital, paper and image-only documents will need to be handled for some time to come, in the form of IDs, insurance cards, patient registration forms, referral documents, hard copy prescriptions, surveys, and more.

Manual processing of patient registration documents is error-prone, putting providers at compliance risk and compromising patient satisfaction. ABBYY’s intelligent document processing technology automates the classification and extraction of data from patient intake forms, ensuring accuracy and streamlining the process.

AI-driven technologies provide better data quality to improve quality of service

Receive required intake forms and documents via web portals or mobile devices.
Eliminate errors
Eliminate manual data entry which is costly and error prone.
Maintain compliance
Ensure registration information is audit-ready with automatic control over signed forms.
Enhance accuracy
Improve accuracy and availability of patient registration information.
Increase transparency
Deliver full chain of custody and audit of the capture process.
Better experience
Create a faster and more efficient patient onboarding process.

The right start to patient onboarding

ABBYY OCR, data capture and classification technology combine the convenience of scanning with labor-saving tools that identify document types, extract data and link them to the correct patient record.
Scanning & Data Extraction
Self-service solutions & patient portals

Healthcare automation customer scenarios

Process intelligence

Access end-to-end visibility of your processes using data from various back-end systems so you can identify inefficiencies, correct bottlenecks, and even predict future outcomes.

Patient satisfaction surveys

Eliminate time-consuming and error-prone manual processes by automating the entire HCAHPS survey processing workflow, from scanning of patient surveys and data extraction to automatic validation and verification of data.

Revenue cycle management

Optimize revenue cycle processes to reduce claim denials, ensure prompt payments, and decrease costs by gaining end-to-end visibility into your process execution.

Referral management

Streamline the referral process to accelerate revenue with a combination of IDP, RPA, and process intelligence. Automate the integration of patient referral data from faxes into EHR, eliminating manual entry and processing.

Claims and billing

Process claim forms more accurately and cost efficiently with advanced data capture of information from paper and digital medical forms. Automatic validation ensures accuracy for billing.

Expedite invoicing and payments

Streamline the processing of invoices and other financial documents with automated document capture, recognition, field extraction, and validation of data, delivered directly to your ERP, RPA, or ECM system.
Explore AP automation

Patient records

Integrate paper and images from existing patient records, new patient information, and current health information into new EHR workflows without disrupting your processes or compromising patient care.

Accounts receivable and EOB processing

Automatically extract data from scanned or faxed documents so it can be uploaded into billing systems sooner, and exceptions can be identified faster.

U.S. Food and Drug Administration (FDA) uses IDP to protect public health







“Going forward, we plan to use ABBYY to process newly received health reports and utilize the data in our downstream enterprise workflow and visualization software. ABBYY has brought us into the 21st century.”

Utilize patient and process data to improve diagnosis and reporting of ADRs

Download solution brief

Utilize patient and process data to improve diagnosis and reporting of ADRs

Download solution brief

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