Operations

Cleaning Up Patient Records at Scale: Bulk Operations Done Safely

13 August 2024 2 min read
Who this is for: Health records officers, hospital IT administrators

Every facility that has been running for a few years builds up data problems at scale. Duplicate patient records created by different registration desks. Records that need correcting across many entries at once. A migration that needs thousands of records updated consistently. Looking at how these problems usually get handled, fixing them one record at a time is not only slow, it is exactly where rushed, manual fixes introduce new errors faster than the original problem ever caused.

A patient registered twice, once under a slightly different spelling of their name, once under a different identifier entirely, splits their clinical history across two records, which is a genuine safety concern, not only an administrative annoyance. A proper patient merge tool that combines two records into one, keeping the full combined history, fixes this without losing any data along the way.

The actual risk in any bulk operation is that the speed of changing many records at once outruns the care that would normally go into changing just one. Bulk tools that apply the exact same checks to every record in the batch, with no relaxed version “because it is bulk,” stop a cleanup operation from creating more errors than it actually fixes.

A mistake in one record affects one patient. A mistake in a bulk operation affects however many records were caught up in that batch. Bulk operations need to be built with reversing a mistake in mind from the start, a clear record of exactly what changed, and ideally a way to undo the whole batch, given how much larger the damage from one error can be compared to a single record mistake.

Processing thousands of patient records in one single operation can hit actual memory and performance limits if it was never designed for that scale. Bulk tools built to work through large amounts of data in manageable batches, with visible progress along the way, handle facility scale data without needing special server setup every single time a cleanup is needed.

Because a bulk operation touches many records at once, the record of what changed, when, and by whom needs to be just as complete as it would be for any individual change, arguably more important, given how many records one bulk action can actually affect.


Hyella’s bulk operations tools handle large scale patient record cleanup safely, with full checks and a complete record of every change. Ask us about your records quality challenges.

AZ
Abdulhakeem Zubairu QA

Written by the Hyella engineering team - the people who design and build the platform powering hospitals and clinics across Nigeria and Africa.

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