Auto-flagging for missing/incomplete patient data

Purpose

1.1. Automate the identification and automated flagging of missing or incomplete patient data, ensuring regulatory compliance and enhancing data integrity for obstetrics and gynecology medical clinics.
1.2. Supports automated compliance with HIPAA and local health laws through automated alerts and automated data reviews.
1.3. Automates escalation of incomplete records to respective care providers, automating workflow continuity and automating patient follow-up scheduling.
1.4. Automates audit trail creation for all flagged instances, automating documentation for compliance checks.

Trigger Conditions

2.1. Automatedly triggers when new patient record entries lack mandatory fields (e.g., demographics, medical history, consent forms).
2.2. Automates flagging when previously completed records are edited, resulting in automatable data incompletion.
2.3. Automator sets off when periodic compliance check automation detects data irregularities.
2.4. New data integration from laboratories or referrals with automatable data mismatches or absent results.

Platform Variants

3.1. Epic Systems
• Feature/API: App Orchard API — Configure automated FHIR API validation to detect missing fields and automate flagging.
3.2. Cerner PowerChart
• Feature: HealtheIntent API — Automate data completeness rules with workflow automator for flagging incompletes.
3.3. Athenahealth
• API: Patient API — Automate REST endpoint to list incomplete charts, enabling automated follow-up.
3.4. Greenway Health
• Feature: Intergy EHR Flags — Configure custom automatable flags for missing patient data fields.
3.5. eClinicalWorks
• API: Clinical EHR API — Automator triggers when required fields are null on record insertion.
3.6. Nextech
• Feature: Customize Workflows — Automates real-time incomplete data alerts for OB-GYN modules.
3.7. Allscripts
• API: Open API — Configure automated validation scripts for flagging incomplete medical entries.
3.8. AdvancedMD
• Feature: Task Automation — Automatedly assigns tasks to staff for missing patient data.
3.9. DrChrono
• API: Medical Records API — Automate searches and flag incomplete or missing chart sections.
3.10. Meditech Expanse
• Feature: Clinical Decision Support — Automate rule creation for data completeness audits.
3.11. Google Cloud Healthcare API
• Feature: FHIR Store — Automates queries to detect and flag missing field values.
3.12. Microsoft Azure Health Data Services
• Feature: Automated Logic Apps — Automates scheduled flows for identifying incomplete records.
3.13. AWS HealthLake
• Feature: Data Query & Tagging — Automator searches for absent fields and applies automated tags.
3.14. Salesforce Health Cloud
• Feature: Workflow Rules — Automate missing data triggers that update user tasks.
3.15. Zoho Creator
• Feature: Automated Validation Rules — Automates custom scripts to auto-flag absent patient info.
3.16. Twilio SMS
• Feature: Programmable Messaging API — Automate SMS notifications to admin on detection.
3.17. SendGrid
• Feature: Email Automation API — Automator sends automated email when incomplete data is flagged.
3.18. Slack
• API: Incoming Webhooks — Automates daily channel alerts with flagged record links.
3.19. Microsoft Teams
• Feature: Connector Workflow — Automates flagged data alerts into specific compliance channels.
3.20. Zapier
• Feature: Filter & Paths — Automate complex filtering and automated routing of flagged entries for review.

Benefits

4.1. Automates regulatory compliance by catching gaps before audits and inspections.
4.2. Significantly decreases manual review, automating resource allocation for more critical tasks.
4.3. Automating reminders and escalations mitigates risk of care delays due to incomplete records.
4.4. Automated system ensures continuous, automatable monitoring for real-time compliance and safety improvement.
4.5. Increases patient data quality via automated, actionable insights and automated exception reporting.