How to Process Patient Intake Forms in Athenahealth
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| Workflow Name: |
Patient Intake Form Processing – Intake Forms to AthenaHealth |
|---|---|
| Purpose: |
Automate extraction of patient demographic and insurance data from intake forms and send to AthenaHealth |
| Benefit: |
Removes manual data entry and speeds up registration |
| Who Uses It: |
Front Desk Teams; Registration Staff |
| System Type: |
Document – AthenaHealth |
| Industry: |
Healthcare |
| Outcome: |
Automated patient registration in AthenaHealth |
| On-Premise Supported: |
Yes |
| Supported Protocols: |
HTTPS/FHIR/HL7 |
Table of Contents
Description
| Problem Before: |
Manual keying of paper forms caused delays and errors |
|---|---|
| Solution Overview: |
AI extracts demographics/allergies/insurance and posts to AthenaHealth via API/HL7 |
| Key Features: |
OCR extraction; patient matching; AthenaHealth API push; validation |
| Business Impact: |
Faster check-ins and cleaner patient records |
| Productivity Gain: |
Staff avoid manual transcription of forms |
| Cost Savings: |
Reduces admin work by up to 60% |
| Security & Compliance: |
HIPAA-compliant |
Patient Intake Form Processing – AthenaHealth Patient Intake
AthenaHealth Patient Intake enables automated extraction of demographic and insurance information from patient intake forms and synchronization into Epic EHR. The workflow captures and processes form data in real time, sending clean and structured information to Epic to support fast and accurate registration.
Real-Time Intake Form Processing for Faster Patient Registration
The system securely extracts patient details from digital or scanned intake forms, validates the information, and transforms it before syncing to Epic. This workflow ensures front desk and registration teams receive accurate patient data with minimal manual effort, reducing entry errors, improving onboarding speed, and enhancing overall registration efficiency.
Watch Demo
| Video Title: |
Pharma Industry Document Automation: Use Cases & Data Flow |
|---|---|
| Duration: |
13:18 |
Outcome & Benefits
| Time Savings: |
Major reduction in manual entry |
|---|---|
| Cost Reduction: |
Less admin workload |
| Accuracy: |
High with AI validation |
| Productivity: |
Front desk faster processing |
Industry & Function
| Function: |
Patient Intake Automation |
|---|---|
| System Type: |
Document – AthenaHealth |
| Industry: |
Healthcare |
Functional Details
| Use Case Type: |
Patient Registration Automation |
|---|---|
| Source Object: |
Intake form data |
| Target Object: |
AthenaHealth patient record |
| Scheduling: |
Real-time |
| Primary Users: |
Registration Teams |
| KPI Improved: |
Check-in time; record accuracy |
| AI/ML Step: |
OCR and entity extraction |
| Scalability Tier: |
Enterprise |
Technical Details
| Source Type: |
Scanned Forms/PDF |
|---|---|
| Source Name: |
Patient Intake Forms |
| API Endpoint URL: |
AthenaHealth FHIR/Bridges endpoint |
| HTTP Method: |
POST |
| Auth Type: |
OAuth 2.0 |
| Rate Limit: |
Per AthenaHealth environment |
| Pagination: |
Not applicable |
| Transformation Ops: |
OCR – Normalize – Map to AthenaHealth Schema |
| Error Handling: |
Retry; audit logs; validation queue |
| Orchestration Trigger: |
Form upload event |
| Batch Size: |
1 form |
| Parallelism: |
High |
| Target Type: |
EHR |
| Target Name: |
AthenaHealth |
| Target Method: |
AthenaHealth API/HL7 |
| Ack Handling: |
AthenaHealth response stored |
| Throughput: |
Hundreds/day |
| Latency: |
<10s |
Connectivity & Deployment
| Cloud Support: |
Yes |
|---|---|
| On-Premise Supported: |
Yes |
| Supported Protocols: |
HTTPS/FHIR/HL7 |
| Security & Compliance: |
HIPAA-compliant |
FAQ
1. What is the Patient Intake Form Processing workflow to AthenaHealth?
It is an automated workflow that extracts patient demographic and insurance data from intake forms and uploads it into AthenaHealth to streamline patient registration.
2. How does the workflow process intake forms?
The workflow reads intake forms, extracts relevant patient information such as demographics and insurance details, validates the data, and sends it to AthenaHealth automatically.
3. What types of patient information are extracted?
It extracts patient names, contact details, date of birth, insurance information, and other relevant registration data.
4. How frequently can the workflow run?
The workflow can run on-demand as forms are received or on a scheduled basis depending on clinic registration needs.
5. What happens if a form fails to process?
The workflow logs errors, retries automatically where possible, and alerts the registration team for manual review if necessary.
6. Who uses this workflow?
Front desk teams and registration staff use this workflow to automate patient intake and reduce manual data entry.
7. What are the benefits of automating intake form processing?
Automation removes manual data entry, speeds up patient registration, ensures accurate records, and improves operational efficiency.
8. What system type does this workflow belong to?
This is a document-to-EHR integration workflow that connects intake forms with AthenaHealth for automated processing.
Resources
Case Study
| Customer Name: |
Hospital Registration |
|---|---|
| Problem: |
Manual form entry slowed patient intake |
| Solution: |
Automated extraction + AthenaHealth posting |
| ROI: |
Lower costs & faster intake |
| Industry: |
Healthcare |
| Outcome: |
Automated patient registration in AthenaHealth |


