Healthcare process management in Python: a use case
summary
An integration system ties hospital orders, barcode-labelled phlebotomy tubes and lab robots into an HL7/IHE workflow, implemented mostly in Python (drivers via struct and pyserial, async messaging with Twisted, web tools with Django) and using Mirth as the translation/integration engine plus Impecco labelers. The deployment passes the IHE Connectathon and is certified IHE-compliant, is being trialed in a 2,000-staff Sardinian hospital serving ~30,000 patients/year, and reports practical success in reducing specification and labeling errors.
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chapters (6)
- 0:00Start
- 1:45distributed medicine
- 17:39readability
- 18:29agility
- 19:11portability
- 19:29ease of deployment
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