Insights
Moving point-of-care results into the hospital system of record
On the ward, a point-of-care analyzer produces a result in minutes. In the chart, that result only exists if it crosses into the hospital or laboratory system of record without transcription and without disappearing into a silent queue. For clinical IT, the integration is not a diagram—it is overnight reliability, licensing, and a clear answer when something stalls.
That is the story behind our point-of-care bridge: an integration link between analyzer middleware and the systems hospitals already run. Connectivity alone is not enough. Operators need to know whether a record left, whether it was accepted, whether a retry is safe, and who owns the exception.
The challenge
When analyzer results never land cleanly in HIS/LIS, someone re-types them—or they vanish. Both outcomes are unacceptable. Failures that live only in developer logs are equally hard to run in production: overnight, under peak load, or when a partner system stalls.
Hospital teams also need an operable product, not a black box: institution and location configuration, durable storage of test records, export paths clinical systems understand, and status surfaces that make process health visible.
What we built
We built an integration service with persistent storage for test records, workers that can target multiple destinations, and configuration for institutions, locations, and instruments. Export paths include HL7 and CDS data-file formats so results can join hospital workflows without manual re-entry.
Operability was designed in: status UI, error notification, troubleshooting logs, packaging as an installer, and license controls clinical IT can administer. Failure modes surface to operators instead of disappearing into an unowned queue—so retries and recovery stay intentional.
The outcome
Clinicians see point-of-care results in the system of record. Lab and clinical IT stop chasing missing values. Engineering spends less time reconstructing what happened after the fact.
The same pattern applies beyond the analyzer: explicit contracts between systems, monitoring for data quality and process health, and recovery paths that are tested—not assumed.
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