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Case Study · Cureatr

Streamlining discharge summary acquisition

Turning a manual, fragmented, Slack-and-spreadsheet process for tracking down hospital discharge summaries into an automated, trackable one built directly into the clinical workflow.

The situation

Cureatr's pharmacist-led medication reconciliation service existed to satisfy a specific quality requirement: reviewing a patient's current and discharge medications within 30 days of a hospital discharge. Every one of those visits depended on a single document — the discharge summary — and getting it into a pharmacist's hands was by far the most broken part of the process.

When we surveyed pharmacists on the least efficient part of prepping for a call, this was their top pain point. Discharge summaries arrived from three sources — an automated feed, a manual hospital request, or the patient — with no consistent way to know which applied to a given patient, or whether we had the document at all.

Diagnosing three separate problems

As with most workflow problems that look like people just need to work faster, the real issues were structural. I broke it into three distinct problems, each with a different owner and a different fix:

Designing the fix

I led requirements gathering with the three groups who touched this process differently — clinic staff prepping for visits, the medical records team chasing documents from hospitals, and our own product team trying to measure any of it — and turned that into a solution with a few connected pieces:

An at-a-glance status banner now sits next to every patient's discharge details, showing where things stand: not yet looked into, on hand from the patient, pinned from the incoming document feed, requested and in queue, or manually uploaded after a hospital fax. Pharmacists pin the correct document straight from the existing document list — no more re-opening the same folder on every visit.

For summaries that didn't arrive automatically, a single click replaced the Slack message and spreadsheet — triggering an automated, prioritized request queue the medical records team could work from directly, with faxed documents uploaded straight back into the same patient record everyone else was already using.

What changed

The efficiency gains showed up at every step of the process:

Step
Before
After
Finding the discharge summary
2–10+ minutes; re-pulls cost $1.12 each
Seconds; re-pulls eliminated
Requesting from medical records
~2 min via Slack (PHI shared in chat)
Seconds, no Slack, no PHI risk
Managing the request queue
~6 min per request, tracked manually
Seconds per request, automated
>5% reduction in patient visit unit cost
76% of discharge summaries retrievable automatically
Zero patient information shared over Slack

Beyond the direct savings, the new visibility into acquisition data — automated feed versus hospital request versus patient on hand — gave us a real benchmark for the first time, and informed the design of a follow-on service we piloted afterward. Just as importantly, clinical staff no longer had to choose between efficiency and careful handling of patient information — the safer path and the faster path became the same path.

Figures reflect internal performance metrics generalized for public sharing; specific vendor names and internal system names have been omitted or simplified.