Results and Reporting AutomationPurpose
1.2. Automate anomaly detection in medical test result datasets for prompt alerting.
1.3. Reduce manual effort in results monitoring by automating threshold analysis and flagging dangerous values.
1.4. Enable continuous monitoring for critical values by automating scheduled checks and real-time anomaly scans.
1.5. Automate alerting to responsible personnel via multiple channels like SMS, email, and push notifications.
1.6. Integrate automators for documentation of anomalous events and escalation workflows.
1.7. Enhance compliance by automating audit trails related to anomaly detection and response.
Trigger Conditions
2.2. Scheduled automation scans of collected lab test data for outliers.
2.3. Automatedly trigger if a pattern of abnormal results is detected within a specified time frame.
2.4. Manual re-check trigger enabled for auto-validation upon correction or comments by lab staff.
2.5. Automation triggers on incoming new test results in LIMS or EMR systems.
Platform Variants
3.1. AWS Lambda
• Feature/Setting: Automate custom anomaly logic with scheduled Lambda functions using Python SDK.
• Sample configuration: EventBridge rule triggers Lambda for new lab result entry or batch data scan.
3.2. Microsoft Power Automate
• Feature/Setting: Automate detection via Data Loss Prevention policies and alert flows.
• Sample configuration: Automate a flow when a SharePoint/Dataverse item is added, apply condition for anomaly, then send adaptive card alert.
3.3. Google Cloud Functions
• Feature/Setting: Automate serverless triggers on data insertion; run anomaly-detection scripts using Python.
• Sample configuration: Pub/Sub trigger to automate alerting via Google Chat.
3.4. Zapier
• Feature/Setting: Automate webhook triggers, apply filter, send alerts through Slack/SMS/Email automators.
• Sample configuration: New Google Sheets row triggers a filter step, then Multi-Step Zap sends SMS.
3.5. Make (Integromat)
• Feature/Setting: Automate custom scenarios for real-time abnormal result identification.
• Sample configuration: HTTP Module receives new data, utilizes a mathematical function, automates email or MS Teams message.
3.6. Twilio SMS
• Feature/Setting: Automate critical value SMS alerting using Messaging API.
• Sample configuration: REST API POST to /Messages endpoint with dynamic lab result content.
3.7. SendGrid
• Feature/Setting: Automate email alerting for out-of-range results using Mail Send API.
• Sample configuration: Automated API request on anomaly event with email template and personalizations.
3.8. PagerDuty
• Feature/Setting: Automate incident creation and escalation for anomalies via Events API v2.
• Sample configuration: HTTP POST automates trigger of a PagerDuty alert for critical medical values.
3.9. Slack
• Feature/Setting: Automate channel or direct message alert with Slack Incoming Webhooks.
• Sample configuration: Formatted JSON payload for automated alert to lab-alerts channel.
3.10. Microsoft Teams
• Feature/Setting: Automate Teams message posting with Teams Incoming Webhook URL.
• Sample configuration: POST JSON containing test result and flagged metrics.
3.11. ServiceNow
• Feature/Setting: Automate incident ticket creation with Table API.
• Sample configuration: Automated POST request to /api/now/table/incident with anomaly details.
3.12. Salesforce
• Feature/Setting: Automate Case creation via REST API for escalations.
• Sample configuration: POST anomaly data to /services/data/vXX.X/sobjects/Case.
3.13. Datadog
• Feature/Setting: Automate monitor alert creation with Datadog Events API.
• Sample configuration: HTTP POST to /api/v1/events for flagged events.
3.14. Splunk
• Feature/Setting: Automate alert via HTTP Event Collector (HEC).
• Sample configuration: HEC token POSTs data on any detected anomaly.
3.15. IBM QRadar
• Feature/Setting: Automate offense creation leveraging Offense API.
• Sample configuration: Automated integration posts anomaly data through REST API.
3.16. JIRA
• Feature/Setting: Automate issue creation with REST API.
• Sample configuration: New abnormal result report triggers POST to /rest/api/2/issue.
3.17. Trello
• Feature/Setting: Automate card creation using Trello API for tracking anomalous cases.
• Sample configuration: API POST to /1/cards with anomaly details and urgency label.
3.18. BambooHR
• Feature/Setting: Automate employee alert tasks on anomaly via Activities API.
• Sample configuration: POST automation to /api/gateway.php/{domain}/v1/activities.
3.19. Notion
• Feature/Setting: Automate database entry for anomaly records using Notion API.
• Sample configuration: POST to /v1/pages with structured anomaly data.
3.20. AirTable
• Feature/Setting: Automate anomaly record creation in AirTable Base using REST API.
• Sample configuration: API POST to /v0/{baseId}/{tableName} with full anomaly payload.
3.21. Asana
• Feature/Setting: Automate task creation via Asana Tasks API.
• Sample configuration: HTTP POST automation when anomaly detected for smarter follow-up.
Benefits
4.2. Automates compliance with clinical protocols and audit logging for quality assurance.
4.3. Reduces manual oversight with automatable workflows for alerts, notifications, and escalations.
4.4. Supports 24/7 monitoring by automating processes with cloud or hybrid deployment.
4.5. Enhances patient safety and operational reliability through robust automation.