PACER
summary
PACER is a FHIR‑based platform that automates electronic case reporting by taking ELR triggers, polling every two minutes to run SQL queries against an EHR, and augmenting sparse lab reports with diagnoses, medications, demographics and symptoms; the MUSC pilot runs eight weeks and finds 117 cases in eight weeks with substantially richer data than ELR alone. The stack uses FHIR, HL7 messaging, CQL + Clarity NLP executed via CQF Ruler and a Results Combining API, is containerized and system-agnostic for on‑prem or cloud deployment.
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chapters (21)
- 0:00Introduction
- 0:33Agenda
- 0:52PACER
- 1:18Privacy Filtering
- 2:13Interoperability
- 3:15Demo
- 6:58Pilot
- 7:44Lessons Learned
- 8:27Michael K Riley
- 11:24Clinical Quality Language
- 11:56Types of Questions
- 12:30Retrieval and Shape
- 13:09CQF Ruler
- 14:22Insight Tuple
- 15:05Clarity NLP
- 15:34NLP Query Language
- 16:12Results Combining API
- 16:51Internal Workflow
- 17:32Next Steps
- 17:52Questions
- 18:04Questions over voice
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