ModMed leverages Databricks to accelerate agentic workflows
Mod Med — ModMed uses Lakebase and Genie to power AI-enabled healthcare products CUSTOMER STORY ModMed leverages Databricks to accelerate agentic workflows Watch video Ensuring patient data security while driving healthcare innovation In healthcare technology, information security is foundational to protecting sensitive patient data.
- Agent or tool
- Databricks
- Topic
- Software Development
- Reported on
- Case study (Databricks)
- Added
- 2026-11-11
Why it matters
Coding agents are moving from autocomplete to doing whole tasks: reading a codebase, making a plan and changing many files. This case is a concrete example of where that works in practice. It is one of 221 sightings filed under Software Development on Agent Sightings (number 112 by interest), and one of 37 involving Databricks.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Databricks or any similar agent and adjust the details to your situation.
I want a coding agent to plan first, work on a branch, and show me the diff before anything is merged. The tool in the source case was Databricks.
Tip: Work on a fresh branch, ask for a plan before edits, and review the diff and test results before merging.
Source
Read the original first-hand account on Case study (Databricks): https://databricks.com/customers/mod-med. Our summary is a paraphrase; details are in the source.
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