Integration of specialist reports into EMR

Purpose

1. Automate the ingestion and structured integration of specialist pulmonology reports into Electronic Medical Records (EMR) systems across diverse healthcare IT environments, reducing manual entry errors, boosting information accuracy, improving case management timeliness, and facilitating robust downstream clinical decision automation.

2. Ensure specialist documents, test results, and dictation outputs are automatically attached to patient charts for seamless clinician access, clinical review, billing, case compliance, and population health management.

3. Enable automated report parsing, clinical coding extraction, and automatable downstream notification/workflow triggers (e.g., referral follow-ups).

Trigger Conditions

1. Automated receipt of pulmonology specialist report via SFTP, HL7/FHIR message, email with attachment, or direct SaaS upload API.

2. Scheduled polling of secure repositories (S3, Azure Blob, on-prem share) for new report files.

3. Manual upload to a web portal, triggering automator workflow for ingestion.

4. Receipt of clinician-initiated order or request for specialist report, triggering automated fetching.

5. Trigger automation from e-fax, DICOM report ingestion, or speech-to-text conversion output posted to a queue.

Platform Variants

1. Epic

• Feature/Setting: Interconnect (FHIR/REST API)—automated POST to /DocumentReference or /Observation endpoint for report ingestion.
  

2. Cerner

• Feature/Setting: Ignite APIs—automate DocumentUpload operation and encounter-to-patient record mapping.
  

3. Allscripts

• Feature/Setting: Open API v2—automator to /documents endpoint, automating parsing and patient linking.
  

4. Athenahealth

• Feature/Setting: Documents API—automating POST to /chart/documents with metadata tagging.
  

5. NextGen

• Feature/Setting: Mirth Connect routed HL7 ORU messages—automate specialist report mediation and patient-episode correlation.
  

6. Meditech

• Feature/Setting: Expanse Web Services—automating XML/WebService submission for lab/test report document types.
  

7. eClinicalWorks

• Feature/Setting: EMR API—automate /document/upload and encounter referencing for batch report integration.
  

8. Greenway Health

• Feature/Setting: API Suite—automated POST to document management endpoints.
  

9. DrChrono

• Feature/Setting: Documents API—automate PDF/HL7 ingestion to patient’s chart.
  

10. InterSystems HealthShare

• Feature/Setting: Ensemble/Health Connect—automated HL7 integration channel for pulmonology documents.
  

11. Microsoft Power Automate

• Feature/Setting: Automator flow with FHIR/REST connectors to post PDF/reports directly to EMR endpoints.
  

12. AWS HealthLake

• Feature/Setting: FHIR Import API—automate report ETL scripts with scheduled Lambda triggers.
  

13. Google Healthcare API

• Feature/Setting: FHIR Store—automation by POSTing reports to /DocumentReference for specified patient.
  

14. Dropbox Business

• Feature/Setting: Automated file listener with webhook to parse and send report into EMR.
  

15. Box Platform

• Feature/Setting: Event-driven API monitoring for new pulmonologist reports, followed by automator to EMR upload API.
  

16. DocuSign

• Feature/Setting: Automated signed report trigger via webhook pushes new document into EMR ingest module.
  

17. Salesforce Health Cloud

• Feature/Setting: Healthcare API—automate creation of DocumentReference records linked to patient objects.
  

18. SFTP/FTPS Servers

• Feature/Setting: Automated polling script; on new file, automator parses and uploads to EMR.
  

19. HL7 Integration Engine (Cloverleaf)

• Feature/Setting: Automated channel listens for ORU^R01 reports, routes to target EMR documents endpoint.
  

20. Email (Microsoft 365, Gmail, etc.)

• Feature/Setting: Automator to watch inbox for subject/report match, auto-downloads attachment, and posts it to EMR platform.
  

Benefits

1. Accelerates clinical documentation and reduces delays by automating report ingestion.

2. Minimizes manual data entry and human error through automatable, rules-driven workflows.

3. Enhances completeness and compliance of patient records via reliable automated specialist report population.

4. Automates notification/alert systems to care teams upon report availability, improving timelines for patient management.

5. Enables scalable, repeatable, and fully automatable report ingestion supporting multi-site healthcare operations.