NorthStar Anesthesia builds clinician scheduling app on Databricks Apps in weeks
NorthStar Anesthesia, which manages a workforce of 3,000 clinicians across 25 states, faced challenges with their commercial scheduling platform's lack of mobile-friendliness and hidden time-off data. They developed a custom scheduling app using Databricks Apps, leveraging existing data and infrastructure, in just a few weeks. This new app provides clinicians with crucial mobile-friendly scheduling information, significantly improving their workflow and reducing stress.
- →Custom scheduling app built on Databricks Apps
- →Future plans include AI/BI Genie and automation
- →NorthStar Anesthesia's scheduling challenges and Databricks solution
- →App features improve clinician scheduling visibility
Features (2) ›
- Custom scheduling app built on Databricks Apps
Leveraging their existing Databricks foundation and data governance, NorthStar Anesthesia, with partner Synaptiq, built and deployed a React TypeScript scheduling app using Databricks Apps in weeks, enabling quick iteration and releases.
- Future plans include AI/BI Genie and automation
NorthStar Anesthesia plans to further enhance their Databricks implementation with AI/BI Genie for natural language queries, push notifications, and automating staffing reports.
Enhancements (1) ›
- App features improve clinician scheduling visibility
The new app offers color-coded shift views, facility selectors, calendar modes, shift notes, and search/filter capabilities, with data refreshing every 30 minutes, crucially surfacing the time-off data previously hidden.
Notes (1) ›
- NorthStar Anesthesia's scheduling challenges and Databricks solution
NorthStar Anesthesia, managing 3,000 clinicians across 25 states, found their commercial scheduling platform inadequate due to poor mobile usability and hidden time-off data, impacting clinicians who rely on phones between cases.
https://www.databricks.com/blog/how-northstar-anesthesia-built-scheduling-app-workforce-3000-clinicians-weeks
Related releases
- Databricks Terraform Provider v1.123.0: Improved Plan Validation, Delta Sharing, MLflow, and Bug Fixes Terraform Databricks Provider Releases ·
- Databricks SDK Java v0.137.0 adds AI Gateway and deployment fields Databricks Java SDK Releases ·
- Databricks SDK for Go v0.166.0 Enhances Workspace Services Databricks Go SDK Releases ·
- Databricks AI Search adds high-QPS scaling Databricks Blog ·
- AI Applications and Best Practices in Healthcare Databricks Blog ·
- AI in Supply Chain: Demand Forecasting to AI Agents Databricks Blog ·