Care delivery performance benchmarks

Purpose

1.1. Automate the collection, analysis, and reporting of care delivery performance benchmarks for child psychiatrists in mental health, covering metrics such as appointment efficacy, outcomes, patient engagement, and compliance.
1.2. Automate comparison of provider performance against industry standards or peer benchmarks, supporting quality improvement and regulatory reporting.
1.3. Automator compiles multi-source healthcare data to produce automated dashboards and scheduled reports for administrators and practitioners.

Trigger Conditions

2.1. New appointment outcome data entered into the EHR/EMR system.
2.2. Periodic schedule (e.g., weekly, monthly automated trigger).
2.3. Receipt of new regulatory or benchmarking data feeds.
2.4. Manual or automated request from clinical leadership for up-to-date benchmarking.

Platform Variants

3.1. Epic Systems
• Feature/Setting: Clarity Data Model API; configure automated extract of relevant psychiatric outcome and appointment metrics.
3.2. Cerner Millennium
• Feature/Setting: HealtheIntent API for population health; automate benchmarking queries on pediatric psychiatric data.
3.3. Athenahealth
• Feature/Setting: v1 Encounter APIs; schedule automator for extracting clinical KPIs and storing for automated analytics.
3.4. Salesforce Health Cloud
• Feature/Setting: Reports and Dashboards API; automate generation and delivery of performance benchmarking analytics.
3.5. Google BigQuery
• Feature/Setting: Scheduled queries and Cloud Functions; automate aggregation and analysis of child psychiatry KPIs.
3.6. Microsoft Power BI
• Feature/Setting: Dataflows and REST API; automate ingest and refresh of healthcare benchmark datasets.
3.7. Tableau
• Feature/Setting: Tableau Prep Conductor; automatedly schedule preparation of benchmark analytics for child psychiatry.
3.8. AWS Lambda
• Feature/Setting: Automated triggers from FHIR data ingestion; process and benchmark automatically.
3.9. Snowflake
• Feature/Setting: Snowpipe and Streams; automate ingestion and transformation of psychiatric care data for benchmarking.
3.10. Qlik Sense
• Feature/Setting: Automated Data Load Editor; configure scheduled loading and analysis of KPIs for benchmarking.
3.11. Zoho Analytics
• Feature/Setting: Data Import API; automatedly import and calculate benchmarks on mental health data.
3.12. Oracle Health Sciences Data Management
• Feature/Setting: Clinical One Analytics; automate scheduled extraction and benchmarking of patient records.
3.13. RedCap
• Feature/Setting: API for project data export/import; automate download of child psychiatry outcome data for benchmarking.
3.14. InterSystems IRIS
• Feature/Setting: Analytics Query API; automate SQL reports to benchmark psychiatrist performance.
3.15. MongoDB Atlas
• Feature/Setting: Scheduled Data Aggregations; automate collection of real-time child psychiatry metrics.
3.16. IBM Cognos Analytics
• Feature/Setting: Automated Report Scheduling; configure automator to send monthly benchmark outcome comparisons.
3.17. HubSpot
• Feature/Setting: Analytics API; automate ingest of patient feedback metrics for benchmarking reports.
3.18. Slack
• Feature/Setting: Incoming Webhooks; automate notification of updated benchmark analytics to teams.
3.19. ServiceNow
• Feature/Setting: Automated Workflow Engine; automate escalations when benchmarks fall below targets.
3.20. PagerDuty
• Feature/Setting: Event Orchestration API; automates alerts for anomaly detection in benchmarked outcomes.

Benefits

4.1. Automating collection and reporting reduces manual effort and human error.
4.2. Automated benchmarking supports continuous quality improvement for child psychiatry practices.
4.3. Care teams receive automated notifications and updates on key performance metrics.
4.4. Automator streamlines regulatory reporting compliance and audit readiness.
4.5. Automated analytic workflows accelerate evidence-based decision-making in mental health care.