Automated extraction and visualization of key metrics

Purpose

1. Automate extraction and visualization of key metrics to enable real-time data-driven decision-making for family planning centers.

2. Automator collects, processes, and visualizes data from multiple sources, automating report generation, performance tracking, and compliance analysis.

3. Automatedly aggregates client visit stats, contraceptive use rates, inventory flows, patient follow-up compliance, and demographic insights into dashboards.

4. Supports compliance, operational optimization, resource allocation, and outcomes monitoring through agile automation.

Trigger Conditions

1. Automate on new electronic health record (EHR) entries.

2. Automator triggers based on scheduled intervals (hourly, daily, weekly).

3. Automated extraction kicks in on external API updates (e.g., lab results, pharmacy inventory).

4. Automating on manual data upload or form submission.

5. Automation initiates upon CRM/database changes related to patient records or staff actions.

Platform Variants

1. Power BI

• Feature/Setting: Use Power BI REST API to automate dataset refresh and embed patient volume dashboards.
  

2. Tableau

• Feature/Setting: Tableau Extract API automates pulling family planning encounter data for visual analysis.
  

3. Google Data Studio

• Feature/Setting: Google Sheets connector — automatedly syncs KPIs from cloud databases.
  

4. Microsoft Excel Online

• Feature/Setting: Office Scripts API — automate data extraction and chart generation.
  

5. Zapier

• Feature/Setting: Zap automator for updating a metric tracker in Google Sheets when a new CRM entry is created.
  

6. Make (Integromat)

• Feature/Setting: HTTP module automates pulling raw metrics and pushing to BI tools.
  

7. AWS Lambda

• Feature/Setting: Scheduled Lambda function to automate EHR data extraction.
  

8. Google Cloud Functions

• Feature/Setting: Event-driven function to ingest and process appointment stats automatically.
  

9. Azure Logic Apps

• Feature/Setting: Logic App workflow to automate aggregating metrics from hospital data sources.
  

10. Segment

• Feature/Setting: Source tracking automation, automates data pipeline delivery to analytics suites.
  

11. Salesforce

• Feature/Setting: Scheduled flows for report extraction from Health Cloud objects (Contacts, Cases).
  

12. Snowflake

• Feature/Setting: Snowpipe automates ingesting new CSV metrics automatically into data warehouse.
  

13. MongoDB Atlas Triggers

• Feature/Setting: Change Streams trigger automatic data export on new client intake.
  

14. Google Sheets API

• Feature/Setting: BatchUpdate for automating cell population and chart generation.
  

15. Alteryx

• Feature/Setting: Scheduled workflows automate transformation and loading of stats to dashboard tools.
  

16. Qlik Sense

• Feature/Setting: REST connector automates fetching raw encounter numbers for visualization.
  

17. DataRobot

• Feature/Setting: Automates prediction and KPI reporting using Scheduling API.
  

18. Splunk

• Feature/Setting: HTTP Event Collector for automating log metric extraction, indexed for dashboards.
  

19. Looker

• Feature/Setting: Looker API triggers scheduled extraction of family planning metrics, automates delivery reports.
  

20. Domo

• Feature/Setting: Data connector automates ingestion and automated visualization updates.
  

Benefits

1. Automates manual data aggregation, reducing error and delay.

2. Boosts staff efficiency by automating routine reporting.

3. Automated visualization enhances insight into operational patterns and patient outcomes.

4. Supports regulatory compliance via automated metric documentation.

5. Automator enables data-driven resource allocation for improved service delivery.

6. Frees clinical team for higher-impact tasks, as data work is automatedly handled.