Daybreak's engineers build the mission now. Bridge builds everything else.
Freed from pipeline maintenance, Daybreak’s engineers move quickly and leadership makes decisions based on reliable, current data.
The shift to Bridge compounded quickly across every team at Daybreak. With a stable data pipeline in place, the organization has been able to redirect engineering capacity toward meaningful clinical and operational work rather than pipeline maintenance.
With Bridge, Daybreak:
- Reduced billing implementation time by ~87% - G-code billing went live in 4–5 weeks versus an estimated 6 months, accelerating revenue from a new reimbursement stream
- Eliminated a recurring data outage that cost 4+ hours of engineering time per incident and blocked work across every team
- Saved 1+ week of engineering time on initial setup alone, with compounding savings as schema changes require no rework
- Enabled a full analytics stack - finance, clinical, and go-to-market teams now operate from a single reliable data source, replacing manual reporting
- Freed engineering time from infrastructure maintenance, enabling the team to focus on mission-critical work
"Being able to get structured data out of Healthie through Bridge made it possible to move end-to-end, from ideation to launch, quickly." -Joan Rhee, Engineering Leader, Daybreak Health
Daybreak needed a reliable, scalable way to get clinical data out of their EHR without building and maintaining the infrastructure themselves
The status quo carried real risk.
Daybreak Health serves students through school district partnerships across the country, operating a B2B2C model in which Medicaid reimbursement rates leave little room for wasted engineering resources. When the organization migrated off its legacy tech stack in 2024, it chose Healthie as its provider-facing EHR and immediately faced the question every data-dependent care organization confronts: how do you get your clinical data out reliably?
The first connector they tried was Fivetran. A misconfigured sync flag on Fivetran's end silently dropped upcoming appointment data from their warehouse, the dataset every team at Daybreak depends on. "Appointment data was just not reliable through the Fivetran connector," said Joan Rhee, Senior Director of EPAD. The first time it surfaced, four hours of engineering time went to diagnosing the issue, and that was before accounting for every team member who couldn't do their job while the data was wrong. "Not having to deal with that headache, day in, day out across every single person at the company, was extremely meaningful."
The alternative, building and maintaining their own API pipelines, would have consumed engineering capacity Daybreak simply couldn't spare.
Bridge by Healthie gave Daybreak a stable, structured data foundation they could build an entire analytics stack on
With data ingestion handled, the team shifted from managing pipelines to generating insight.
After the Fivetran connector proved unreliable, Daybreak switched to Bridge by Healthie, which deposits structured EHR data directly into an S3 bucket that flows into their BigQuery warehouse. The setup was immediate and the stability was night and day. "We've chosen to use data coming out of the Bridge connector because it is more stable, better supported, and more predictable," said Joan Rhee.
From there, Julian Rodriguez, Analytics Engineer, built out a data model connecting Healthie alongside Daybreak's other sources, surfacing everything in Looker Enterprise for teams across the organization. Finance uses it to manage clinician payroll and submit claims through their RCM vendor. Go-to-market teams use it to report session and engagement data back to school district partners. Clinical managers use it to track provider availability, charting note completion, and assessment cadence.
Critically, Daybreak also leverages Healthie's sub-organization structure, allowing them to manage and report on multiple school district partners within a single, organized data environment, something their previous infrastructure made impossible.
