Clinical and Data IntegrationPurpose
1. Automate the identification and flagging of at-risk cardiology patients (e.g., potential heart failure) using continuous data integration, analytics, and real-time monitoring.
2. Enables healthcare providers to proactively intervene, automate care coordination, and ultimately improve patient outcomes by reducing manual review.
Trigger Conditions
1. Patient vital signs or lab data cross risk thresholds (e.g., ejection fraction drop, abnormal BNP values).
2. Automated detection of high-risk codes in EHR/EMR or clinical documentation.
3. Periodic review (hourly/daily) through data feed automators for newly at-risk patients.
Platform Variants
1. Microsoft Power Automate
- Feature: Automated workflows
- Configuration: Use Healthcare Data Connector to monitor FHIR API for risk markers.
2. Google Cloud Healthcare API
- Feature: API rule-based triggers
- Configuration: Automate Webhook to flag patients with adverse readings in HL7v2/FHIR data.
3. Amazon HealthLake
- Feature: Data query automator
- Configuration: Automate condition-based tagging using AWS Lambda invocation.
4. Salesforce Health Cloud
- Feature: Flow Builder for patient flag automation
- Configuration: Trigger Flow on EHR record update when risk factors detected.
5. Epic App Orchard
- Feature: Clinical Decision Support Hooks
- Configuration: Automate alert creation via CDS-Hooks for flagged patient events.
6. Cerner Millennium
- Feature: Rules Engine
- Configuration: Automate patient flag by integrating with Cerner Open Developer Experience API.
7. Redox
- Feature: Event-driven Data Routing
- Configuration: Automate webhook notifications using PatientAdmin.* event.
8. PagerDuty
- Feature: Incident automation
- Configuration: Automate incident creation for flagged patients via Events API.
9. Twilio SMS
- Feature: Automated messaging
- Configuration: Automate SMS trigger to care teams on new at-risk patient flag.
10. SendGrid
- Feature: Automated email alert
- Configuration: Automate email delivery with Dynamic Templates triggered by flag event.
11. Slack
- Feature: Automated channel notifications
- Configuration: Send automated message to clinical Slack channel using Bots API.
12. ServiceNow
- Feature: Automated ticketing
- Configuration: Automate incident ticket on flagged patient using REST Table API.
13. Zapier
- Feature: Workflow integration automator
- Configuration: Automate multi-platform action on risk event trigger.
14. InterSystems HealthShare
- Feature: Automated data routing
- Configuration: Create/route alert flag in patient registry using Custom Notification API.
15. Clarity (Allscripts)
- Feature: Automated data alerts
- Configuration: Rule-based notification using Clarity API on high-risk detection.
16. Tableau
- Feature: Automated visualization refresh
- Configuration: Automate refreshes to display latest at-risk flags via Tableau REST API.
17. Splunk
- Feature: Automated log/data monitoring
- Configuration: Alert setup for flagged patient logs/events using Search Processing Language.
18. IBM Watson Health
- Feature: Automated AI-based flagging
- Configuration: Use analytic models triggered by patient data event API.
19. Health Gorilla
- Feature: Automated data exchange
- Configuration: Automate flagged patient data sharing with clinical networks via FHIR API.
20. Philips IntelliSpace
- Feature: Automated Patient Data Flow
- Configuration: Set rule-based alerting in IntelliBridge Enterprise for automated flag escalation.
Benefits
1. Automates early detection, reducing manual risk stratification workload.
2. Automator-enabled timely intervention for improved patient safety and quality of care.
3. Automated coordination between care teams resulting in more efficient workflow.
4. Automating compliance with clinical protocols via reliable data-driven alerts.
5. Automation of repetitive processes, freeing resources for clinical decision-making.