{"resourceId":"seattle-times-council-911-ai-nurse-line-oversight-20260909","versions":[{"version":"external-ef77c92f8ecde753fdccacac354ff4063d85943234f12e7a436d90281341b0f2","resource":{"id":"seattle-times-council-911-ai-nurse-line-oversight-20260909","title":"Seattle council questions Fire Department on undisclosed Corti AI triage and nurse-line waits","organization":"The Seattle Times","sector":"Local government / Fire EMS dispatch","geography":"Seattle, Washington, United States","publishedAt":"September 9, 2026","publicationDate":"2026-09-09","eventDate":"2026-09-08","sourceName":"The Seattle Times","sourceLabel":"Seattle Times watchdog (council oversight)","sourceUrl":"https://www.seattletimes.com/seattle-news/times-watchdog/seattle-council-questions-fire-officials-about-911-nurse-line-ai-use/","evidenceClass":"independent-reporting","outcomeClass":"cautionary","topics":["governance-procurement","operating-model","data-security","accessibility-workforce"],"finding":"After Times reporting, Seattle’s Public Safety Committee pressed fire officials on AMR’s Texas nurse line and Corti AI that has listened to all medical 911 calls since 2023 and prompts transfers. Chief Scoggins said dispatchers retain final authority; callers were not disclosed AI use; UW is evaluating effectiveness without public metrics shared Tuesday. Council focus is restoring tracking/time standards for nurse-ordered ambulances after the Pamela Hogan case.","sledRelevance":"Shows how fire/EMS PSAPs can deploy live AI prompts for medical diversion without caller notice or surveillance-ordinance review—directly relevant to U.S. emergency communications governance, contract backstops, and HITL claims.","evidence":"Primary local investigative reporting on Sep 8, 2026 committee hearing; quotes Scoggins, Councilmember Kettle, and references prior Times series and settled Hogan estate suit. Not a controlled outcome study; diversion increase figures remain disputed elsewhere.","architectureImplications":"Corti listens to live medical call audio and surfaces on-screen transfer prompts inside dispatch workflow; integration is advisory UI over human CAD decisioning, not autonomous answering or dispatch.","governanceImplications":"Council is seeking stronger AMR accountability and wait tracking for nurse-ordered ambulances; AI ran >2 years without public review. Surveillance ordinance gap flagged by prior coverage remains a live political risk.","securityPrivacyImplications":"AI monitoring of all medical 911 calls without caller disclosure raises PHI/privacy and transparency duties; agency asserts Corti cannot train other models on Seattle calls—verify contractually.","caveats":"Single-city reporting; UW evaluation details not released; nurse-line wait tracking remains with AMR, so city-level outcome metrics for diverted callers are incomplete.","streamIds":["emergency-services"],"roles":{"sales":"Frame Seattle as a cautionary governance case for live AI prompts on medical 911: HITL claims alone do not substitute for disclosure, public metrics, and contract backstops on diverted ambulance waits. Sell assessment and oversight packages—not silent triage expansion—when agencies already run nurse lines.","engineering":"Architecture is audio-listen + prompt overlay with human final authority. Prerequisites include CAD screen integration, audit logging of prompt accept/reject, PHI data-processing agreements, and clear non-training clauses. Constraints: no autonomous transfer; surveillance/privacy reviews before go-live; measurable diversion outcomes before scaling.","delivery":"Delivery must stand up prompt-override telemetry, nurse-line wait SLAs back into city dashboards, caller disclosure language, and an independent evaluation plan (UW-style). Acceptance needs published metrics and contract amendments before claiming staffing or safety gains."},"roleDetails":{"sales":{"customerProblem":"Fire/EMS dispatch wants AI to reduce low-acuity load but faces council and public scrutiny when diversion and AI listening lack disclosure and wait tracking.","stakeholders":["Fire chief / medical director","PSAP managers","City council public-safety chairs","Ambulance contractors","Privacy/compliance officers"],"discoveryQuestions":["Are callers told AI is listening?","Who tracks nurse-ordered ambulance waits?","What accept/reject rate do prompts have?","Has surveillance/privacy review occurred?"],"valueHypothesis":"Bounded HITL prompt systems can support diversion only if disclosure, wait SLAs, and public outcome metrics are in the same deal.","potentialEngagement":"Governance readiness assessment plus metrics/contract backstop workshop for agencies already piloting triage AI—not a silent Corti-style rollout.","unsupportedClaims":["Guaranteed safer diversion than nurse-line alone","That HITL eliminates accountability for AI prompts","Transferability of Seattle’s contested diversion lift"]},"engineering":{"fit":"Advisory live-prompt overlay on medical call-taking, not autonomous answering or CAD auto-dispatch.","architectureIntegration":"Audio stream → vendor NLP → on-screen suggestion; dispatcher retains CAD transfer action; needs immutable prompt logs.","prerequisites":["CAD UI hook","BAA/DPA with vendor","Prompt accept/reject logging","Nurse-line interface rules"],"constraints":["No caller-facing AI voice in this design","Jurisdiction surveillance ordinances","Cannot train on agency audio without consent"],"security":"Treat full-call audio as sensitive; enforce non-training, retention limits, and access audits.","proofOfValue":["Publish diversion and bounce-back rates","Independent outcome evaluation","Compare waits with/without prompt acceptance"]},"delivery":{"work":"Configure prompts, train telecommunicators on override norms, wire wait tracking, draft disclosure, and schedule public oversight.","dependencies":["Ambulance contractor contract","City privacy counsel","CAD vendor","External evaluator"],"ownership":"Fire department medical dispatch leadership with council oversight for public metrics.","skillsAdoption":"Dispatchers need practice ignoring weak prompts; supervisors need real-time QA on AI-influenced transfers.","governanceCheckpoints":["Pre-go-live privacy review","Quarterly public metrics","Contract reopen for nurse-line SLAs"],"acceptanceCriteria":["100% prompt decisions logged","City can see nurse-ordered ETAs","Caller notice language approved"],"risks":["Automation bias toward diversion","Untracked long waits after transfer","Political backlash from non-disclosure"]}},"retrievedAt":"2026-09-24T22:01:15-05:00","enrichedAt":"2026-09-24T22:01:15-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Undisclosed AI on medical calls can erode trust for vulnerable callers; workforce still owns final transfer decisions and needs anti-automation-bias training.","procurementImplications":"Reopen ambulance contracts for wait standards on AI/nurse-diverted calls; require evaluation deliverables and disclosure in AI SOWs.","operatingModelImplications":"AI prompts shift work from pure protocol triage toward hybrid human+AI diversion; city must reclaim visibility into contractor-handled low-acuity queues.","sourceVerification":{"openedUrl":"https://www.seattletimes.com/seattle-news/times-watchdog/seattle-council-questions-fire-officials-about-911-nurse-line-ai-use/","referenceExcerpt":"The dispatchers are still in control, not the AI, Scoggins stressed Tuesday.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}