Medical Records and DocumentationPurpose
1.2. Automated checks for incomplete, inconsistent, or atypical values in medical documentation, consent forms, diagnostic data, prescriptions, and patient history.
1.3. Automator improves efficiency, reduces administrative time, and supports compliance with healthcare regulations by automating error detection steps.
Trigger Conditions
2.2. Scheduled batch automation for nightly verification of recent records.
2.3. Automated trigger on data import from scanned/faxed documents or third-party integration.
2.4. Manual trigger by staff through a dashboard automator “check errors” action.
Platform Variants
3.1. Epic EHR
- Feature/Setting: Integrate with the Epic App Orchard API for automated patient data validation at record creation and update events.
- Configuration: Webhook endpoint and FHIR resource data validation rules.
3.2. Cerner Millennium
- Feature/Setting: Automate data error checks using Cerner Open Developer Experience (code.validatePatientRecord).
- Configuration: API call on patient/observation resource modification.
3.3. Allscripts
- Feature/Setting: Use Allscripts Unity API’s validatePatientInfo endpoint for automated field verification.
- Configuration: Automated API task scheduled after data import.
3.4. Google Cloud Healthcare API
- Feature/Setting: Automate FHIR data validation pipeline via Google Data Loss Prevention API.
- Configuration: Cloud Function triggers on new data arrival to validate sensitive fields.
3.5. Microsoft Azure Health Data Services
- Feature/Setting: Automated validation with Azure FHIR Service validate operation.
- Configuration: Set up Logic App that automates checks post-insertion.
3.6. AWS HealthLake
- Feature/Setting: Lambda Function with automated error checking of patient FHIR resources.
- Configuration: S3 event triggers Lambda for automated audits.
3.7. Meditech Expanse
- Feature/Setting: Automation using Data Repository Extracts plus scripted validation.
- Configuration: Automated extraction to SQL, then validation scripts.
3.8. Salesforce Health Cloud
- Feature/Setting: Automate validation with Flow Builder and Apex trigger on Patient record objects.
- Configuration: Automated trigger invokes validation Apex class.
3.9. Zoho Creator
- Feature/Setting: Automated Workflow Rule running data validation function on each submission.
- Configuration: Custom Deluge script for error checking.
3.10. Athenahealth
- Feature/Setting: Data validation via API GET/POST-patients, automating error detection on field input.
- Configuration: Automated bot checks after every patient data update.
3.11. SAP Health Engagement
- Feature/Setting: SAP BTP integration automates validation workflow post-data input.
- Configuration: Business Rule Service validation logic.
3.12. Oracle Health Management Cloud
- Feature/Setting: Automated orchestration validates patient objects with Groovy validators.
- Configuration: Automation process scheduled nightly for audit runs.
3.13. MuleSoft
- Feature/Setting: Automate validation using DataWeave transformations with built-in error checking.
- Configuration: Flow via HTTP listener on new data POST.
3.14. InterSystems IRIS for Health
- Feature/Setting: Automated ObjectScript routines validate fields when new HL7/FHIR data arrives.
- Configuration: Business Process triggers on segment receipt.
3.15. Redox
- Feature/Setting: Validate payloads with Redox Data Model schema validation automation.
- Configuration: Middleware automator flags errors in real-time.
3.16. Smartsheet
- Feature/Setting: Automated Data Shuttle filters and error-checks clinic spreadsheet uploads.
- Configuration: Automate at every new row import.
3.17. UiPath
- Feature/Setting: RPA bot automates patient record validation from EHR interface.
- Configuration: Automator runs rule-based workflow.
3.18. Make (Integromat)
- Feature/Setting: Automated scenario parses every record and validates automatedly with conditional logic.
- Configuration: Scenario triggers on webhook or schedule.
3.19. Workato
- Feature/Setting: Automates record validation with API integration recipes for EHRs.
- Configuration: Recipe initiates on data change event.
3.20. Airtable
- Feature/Setting: Airtable Automation runs script to check field completeness/errors on update.
- Configuration: Trigger automatedly when record changes.
3.21. Formstack
- Feature/Setting: Automated logic checks for required fields, regex validation on digital intakes.
- Configuration: Logic section in every intake form process.
3.22. DocuSign
- Feature/Setting: PowerForms validation logic automates error detection before e-signature step.
- Configuration: Set validation rules at field-level.
Benefits
4.2. Automates compliance with medical recordkeeping regulations and internal policy checks.
4.3. Reduces staff workload, lowers human error, and speeds up clinical documentation processes with automation.
4.4. Supports accurate diagnosis and safe patient care by automating the detection of incomplete or atypical data entries.
4.5. Accelerates onboarding of new patients by automating the validation process, enabling focus on clinical outcomes.