{"service":"scrimed-module-registry","route":"/scrimed-modules","apiRoute":"/api/scrimed-modules","status":"scrimed-module-registry-active-no-phi","updated":"2026-06-30","boundary":"SCRIMED module registry is a no-PHI product architecture and build-control surface. It does not authorize live PHI, autonomous diagnosis, treatment, prescribing, patient outreach, payer submission, EHR writeback, production connector use, clinical validation, certification, reimbursement claims, or customer go-live.","currentGoScope":"GO for no-PHI module architecture, synthetic demos, internal planning, benchmark design, diligence packets, and protected-pilot preparation.","noGoScope":"NO-GO for live PHI, autonomous clinical action, patient outreach, payer submission, EHR writeback, production connector use, certification claims, clinical validation claims, or customer go-live.","moduleCount":19,"domainCounts":{"clinical-evaluation":2,"scientific-reasoning":2,"workflow-orchestration":3,"evidence-intelligence":1,"runtime":1,"trust-safety":1,"continuous-evaluation":2,"outcome-learning":1,"knowledge-memory":4,"multi-agent-ai":2},"stageCounts":{"synthetic-demo-ready":3,"architecture-ready":7,"protected-pilot-prep":4,"blocked-before-clinical-production":4,"starter-build-ready":1},"modules":[{"name":"SCRIMED ClinicalBench","slug":"clinicalbench","domain":"clinical-evaluation","stage":"synthetic-demo-ready","objective":"Create SCRIMED's domain-specific clinical benchmark suite for adversarial, missing-data, noisy-note, unit, guideline, citation, bias, and reviewer-gate evaluation.","coreCapabilities":["Synthetic scenario library","Clinical readiness scorecards","Regression suites by module and agent","Reviewer-calibrated pass/fail rubrics"],"primaryInputs":["synthetic cases","expected safe behaviors","evidence references","reviewer rubrics"],"primaryOutputs":["clinical readiness scores","failure reports","release gate status","review queue items"],"dependencies":["Clinical Robustness Lab","Evaluation Registry","Trust Score","Benchmark Studio"],"allowedDemoMode":"Run no-PHI clinical benchmark scorecards for demos, pilots, investor diligence, and release evidence.","blockedProductionMode":"No live PHI, autonomous diagnosis, treatment, prescribing, patient outreach, payer submission, EHR writeback, production connector use, clinical validation, certification, reimbursement claim, or customer go-live.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Bind ClinicalBench scenarios to each SCRIMED clinical module and require passing synthetic scorecards before buyer-facing expansion.","investorNarrative":"Shows that SCRIMED measures clinical reliability with healthcare-specific tests rather than generic leaderboard claims."},{"name":"SCRIMED Scientific Reasoning Engine","slug":"scientific-reasoning-engine","domain":"scientific-reasoning","stage":"architecture-ready","objective":"Structure hypothesis, evidence ranking, contradiction detection, guideline comparison, and uncertainty reporting for scientific and clinical research workflows.","coreCapabilities":["Hypothesis decomposition","Evidence quality grading","Contradiction detection","Guideline and literature comparison"],"primaryInputs":["research question","literature references","guideline references","population criteria"],"primaryOutputs":["evidence matrix","contradiction report","confidence summary","human-review recommendation"],"dependencies":["Evidence Graph","ResearchOps","Research Memory","Multi-Model Router"],"allowedDemoMode":"Run synthetic or public-reference research simulations with citations and uncertainty labels.","blockedProductionMode":"No clinical trial enrollment decision, treatment recommendation, patient-specific research advice, or claim of scientific validation.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create a no-PHI research reasoning packet format with claim, evidence, contradiction, confidence, and reviewer fields.","investorNarrative":"Positions SCRIMED as a research-grade reasoning platform for healthcare organizations, pharma-adjacent pilots, and academic partners."},{"name":"SCRIMED Workflow Planner","slug":"workflow-planner","domain":"workflow-orchestration","stage":"protected-pilot-prep","objective":"Generate deterministic workflow plans that map task goals to agents, tools, approvals, evidence, rollback, and audit requirements.","coreCapabilities":["Workflow graph drafting","Agent/tool sequencing","Approval gate insertion","Rollback and fallback planning"],"primaryInputs":["workflow goal","policy constraints","agent registry","tool registry","risk level"],"primaryOutputs":["workflow plan","approval map","rollback path","audit event plan"],"dependencies":["Clinical Work Graph","Policy Registry","Multi-Agent Runtime","Adaptive Workflow Selector"],"allowedDemoMode":"Draft no-PHI workflow plans and review packets for demos, operations, and protected pilots.","blockedProductionMode":"No autonomous workflow execution, connector mutation, patient outreach, payer submission, or EHR writeback.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create a workflow-plan schema with deterministic states, required approvals, evidence bindings, and rollback behavior.","investorNarrative":"Turns SCRIMED into an operating layer that can plan healthcare workflows safely before execution."},{"name":"SCRIMED Clinical Judgment Engine","slug":"clinical-judgment-engine","domain":"clinical-evaluation","stage":"blocked-before-clinical-production","objective":"Assist qualified reviewers by structuring evidence, uncertainty, contraindication flags, escalation criteria, and reviewer disposition for clinical judgment support.","coreCapabilities":["Evidence sufficiency check","Uncertainty and limitation surfacing","Escalation criteria generation","Reviewer disposition support"],"primaryInputs":["synthetic clinical context","evidence cards","policy rules","reviewer rubric"],"primaryOutputs":["judgment support packet","risk label","confidence and limitations","escalation criteria"],"dependencies":["ClinicalBench","Evidence Graph","Clinical QA Engine","Trust Score"],"allowedDemoMode":"Prepare synthetic, reviewer-held judgment support packets that never become clinical decisions.","blockedProductionMode":"No autonomous diagnosis, treatment recommendation, prescribing, triage replacement, or patient-specific medical advice.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Add a clinical judgment packet schema with explicit not-for-care boundary, evidence sufficiency, and reviewer signoff state.","investorNarrative":"Creates high-value clinical intelligence while keeping medical authority with qualified humans."},{"name":"SCRIMED Evidence Graph","slug":"evidence-graph","domain":"evidence-intelligence","stage":"architecture-ready","objective":"Represent claims, sources, citations, guidelines, patient-safe synthetic facts, conflicts, provenance, and confidence as a traceable evidence graph.","coreCapabilities":["Claim-source graph","Citation verification","Conflict and contradiction edges","Evidence provenance and freshness tracking"],"primaryInputs":["documents","guidelines","evidence cards","clinical or research claims"],"primaryOutputs":["evidence graph","citation map","conflict graph","source freshness report"],"dependencies":["Secure RAG/Data Ingestion Pipeline","Scientific Reasoning Engine","Trust Score"],"allowedDemoMode":"Build synthetic or public-reference evidence graphs for demos and diligence.","blockedProductionMode":"No live PHI indexing, unsupported clinical claims, source-less recommendations, or clinical validation claims.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Define graph node and edge schemas for claim, source, citation, guideline, conflict, freshness, and review status.","investorNarrative":"Makes SCRIMED outputs defensible, inspectable, and harder to reduce to generic chatbot text."},{"name":"SCRIMED ResearchOps","slug":"researchops","domain":"scientific-reasoning","stage":"architecture-ready","objective":"Coordinate literature review, evidence ranking, trial matching simulation, contradiction review, and research workflow operations.","coreCapabilities":["Research workflow queue","Literature and guideline tasking","Trial matching simulation","Research reviewer handoff"],"primaryInputs":["hypothesis","public literature references","trial criteria","population definition"],"primaryOutputs":["research packet","evidence ranking","trial simulation report","reviewer task"],"dependencies":["Scientific Reasoning Engine","Evidence Graph","Research Memory","LongTask Runtime"],"allowedDemoMode":"Run no-PHI research operations simulations with public references and human-review gates.","blockedProductionMode":"No patient recruitment, enrollment guarantee, trial recommendation, IRB bypass, or patient-specific research action.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create a research pipeline state machine from hypothesis to evidence ranking to reviewer packet.","investorNarrative":"Expands SCRIMED into research operations while preserving strict boundaries around patient and trial authority."},{"name":"SCRIMED LongTask Runtime","slug":"longtask-runtime","domain":"runtime","stage":"protected-pilot-prep","objective":"Run durable, resumable, review-gated tasks for research, evaluation, workflow planning, ingestion, and audit packet generation.","coreCapabilities":["Durable task state","Checkpoint and resume","Human approval pause points","Timeout, retry, and dead-letter handling"],"primaryInputs":["task plan","agent identity","policy decision","approval requirements"],"primaryOutputs":["task trace","checkpoint state","review packet","final artifact hash"],"dependencies":["Event Mesh","Zero-Trust Audit Ledger","Multi-Agent Runtime","Workflow Planner"],"allowedDemoMode":"Run no-PHI long tasks for evidence packet generation and synthetic evaluations.","blockedProductionMode":"No unattended production mutation, connector write, patient outreach, payer submission, or EHR writeback.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create a durable task contract with checkpoint, pause-for-review, resume, retry, timeout, and dead-letter states.","investorNarrative":"Gives SCRIMED enterprise-grade execution depth for work that cannot fit inside single model calls."},{"name":"SCRIMED Clinical Work Graph","slug":"clinical-work-graph","domain":"workflow-orchestration","stage":"architecture-ready","objective":"Model clinical and administrative work as nodes, dependencies, evidence, owners, risk labels, approval states, and blocked actions.","coreCapabilities":["Workflow dependency graph","Risk-aware node labeling","Review-state tracking","Blocked-action visibility"],"primaryInputs":["workflow plan","clinical policy","evidence refs","review requirements"],"primaryOutputs":["clinical work graph","dependency map","review-state view","blocked-action map"],"dependencies":["Workflow Planner","Clinical QA Engine","Policy Registry","Event Mesh"],"allowedDemoMode":"Visualize synthetic clinical workflows and dependencies with no live-care authority.","blockedProductionMode":"No autonomous clinical workflow execution or production connector action.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Define a graph schema for work nodes, evidence refs, owner, risk, state, approval, and rollback.","investorNarrative":"Turns healthcare workflow complexity into an inspectable operating graph that supports pilots and enterprise sales."},{"name":"SCRIMED Trust Score","slug":"trust-score","domain":"trust-safety","stage":"synthetic-demo-ready","objective":"Compute module, agent, model, prompt, workflow, and output trust posture from evidence quality, eval performance, reviewer outcomes, drift, incidents, and policy decisions.","coreCapabilities":["Trust score rubric","Evidence quality scoring","Reviewer outcome weighting","Release gate recommendation"],"primaryInputs":["eval results","evidence graph","reviewer dispositions","policy decisions","incident events"],"primaryOutputs":["trust score","risk band","release recommendation","improvement tasks"],"dependencies":["ClinicalBench","Continuous Evaluation Platform","Zero-Trust Audit Ledger","Evidence Graph"],"allowedDemoMode":"Show synthetic trust scores for modules, agents, and outputs in diligence packets.","blockedProductionMode":"No trust score may be treated as clinical validation, certification, or autonomous approval.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create a deterministic trust score formula with explainable components and release-gate thresholds.","investorNarrative":"Makes reliability legible to buyers and investors by turning safety evidence into a visible operating signal."},{"name":"SCRIMED Continuous Evaluation Platform","slug":"continuous-evaluation-platform","domain":"continuous-evaluation","stage":"protected-pilot-prep","objective":"Continuously evaluate modules, agents, prompts, model routes, workflows, RAG, memory, and trust score regressions.","coreCapabilities":["Scheduled eval runs","Regression detection","Release gate blocking","Reviewer calibration tracking"],"primaryInputs":["eval suites","module versions","agent versions","prompt versions","model routes"],"primaryOutputs":["eval report","regression alert","release block","review task"],"dependencies":["Evaluation Registry","ClinicalBench","Benchmark Studio","Trust Score"],"allowedDemoMode":"Run no-secret, no-PHI eval suites for synthetic module readiness.","blockedProductionMode":"No synthetic eval result may claim live clinical validation or certification.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Add module-version eval mapping and require continuous eval status in release evidence.","investorNarrative":"Creates a quality moat through constant measurement, regression awareness, and release discipline."},{"name":"SCRIMED Outcome Intelligence","slug":"outcome-intelligence","domain":"outcome-learning","stage":"blocked-before-clinical-production","objective":"Analyze approved synthetic, de-identified, or governed outcome signals to understand workflow value, safety, quality, and operational impact.","coreCapabilities":["Outcome signal modeling","Reviewer outcome linkage","Workflow impact analysis","Safety and quality trend detection"],"primaryInputs":["approved outcome signals","reviewer labels","workflow events","quality metrics"],"primaryOutputs":["outcome insight","trend report","risk signal","improvement recommendation"],"dependencies":["Continuous Outcome Learning Engine","Event Mesh","Clinical Work Graph","Trust Score"],"allowedDemoMode":"Use synthetic or approved de-identified outcome simulations for value analysis.","blockedProductionMode":"No live patient outcome learning without legal, privacy, clinical, consent, and customer approval.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Define outcome signal schema with consent/data-use status, de-identification status, evidence link, and reviewer owner.","investorNarrative":"Moves SCRIMED toward measurable ROI and learning loops while preserving strict data governance."},{"name":"SCRIMED Knowledge Evolution Engine","slug":"knowledge-evolution-engine","domain":"knowledge-memory","stage":"architecture-ready","objective":"Version and evolve approved knowledge, evidence, guidelines, memory, prompts, and module policies through review-gated updates.","coreCapabilities":["Knowledge versioning","Guideline freshness tracking","Change proposal workflow","Regression-triggered knowledge review"],"primaryInputs":["evidence graph changes","guideline updates","eval failures","reviewer feedback"],"primaryOutputs":["knowledge update proposal","freshness report","deprecation notice","release task"],"dependencies":["Evidence Graph","Research Memory","Clinical Memory","Continuous Evaluation Platform"],"allowedDemoMode":"Show no-PHI knowledge update proposals and freshness dashboards.","blockedProductionMode":"No automatic clinical knowledge update may affect live care without governance approval.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create knowledge version records with source, owner, policy, eval impact, reviewer, and rollback fields.","investorNarrative":"Gives SCRIMED a controlled learning system without unsafe automatic medical drift."},{"name":"SCRIMED Multi-Agent Runtime","slug":"multi-agent-runtime","domain":"multi-agent-ai","stage":"protected-pilot-prep","objective":"Coordinate planner, specialist, verifier, evidence, QA, safety, cost, and supervisor agents with scoped identities and audit traces.","coreCapabilities":["Agent orchestration","Supervisor checks","Role-scoped tool access","Run trace and replay"],"primaryInputs":["workflow plan","agent identities","tool scopes","policy decisions","evaluation requirements"],"primaryOutputs":["agent run trace","handoff map","supervisor verdict","review packet"],"dependencies":["Agent Identity Registry","Secure MCP Gateway","LongTask Runtime","Trust Score"],"allowedDemoMode":"Run synthetic multi-agent plans and review traces without production side effects.","blockedProductionMode":"No autonomous protected workflow execution or production tool access.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Define multi-agent run envelope with planner, specialist, verifier, supervisor, cost, policy, and trace fields.","investorNarrative":"Shows SCRIMED as a governable agent operating system rather than a single-model chatbot."},{"name":"SCRIMED Multi-Model Router","slug":"multi-model-router","domain":"multi-agent-ai","stage":"starter-build-ready","objective":"Route tasks across frontier, open, local, edge, and fallback models by cost, risk, latency, quality, privacy, and policy.","coreCapabilities":["Provider-neutral routing","Risk-tier model selection","Fallback and circuit breaker","Cost and latency telemetry"],"primaryInputs":["task type","risk level","privacy boundary","budget","latency target","quality requirement"],"primaryOutputs":["model route decision","routing rationale","fallback plan","usage telemetry"],"dependencies":["Model Registry","AI Cost Intelligence Agent","Trust Score","Policy Registry"],"allowedDemoMode":"Route synthetic tasks through provider-neutral metadata and synthetic fallback provider.","blockedProductionMode":"No unapproved external provider calls, PHI routing, or hard-coded single-provider dependency.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Bind module-level task classes to the existing SCRIMED model router and cost guardrails.","investorNarrative":"Keeps SCRIMED flexible as model markets shift while preserving cost and privacy governance."},{"name":"SCRIMED Adaptive Workflow Selector","slug":"adaptive-workflow-selector","domain":"workflow-orchestration","stage":"architecture-ready","objective":"Select the safest workflow template based on task type, clinical risk, data completeness, policy, user role, and reviewer capacity.","coreCapabilities":["Workflow template matching","Risk-aware routing","Missing-data-aware fallback","Reviewer capacity consideration"],"primaryInputs":["task request","policy decision","risk label","data completeness","reviewer availability"],"primaryOutputs":["selected workflow","fallback workflow","review queue","selection rationale"],"dependencies":["Workflow Planner","Clinical Work Graph","Policy Registry","Trust Score"],"allowedDemoMode":"Select synthetic workflow templates and explain rationale for demos and pilots.","blockedProductionMode":"No autonomous protected workflow selection that executes side effects without review.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create workflow selection rules with risk gates, missing-data fallbacks, and reviewer queue constraints.","investorNarrative":"Creates operational intelligence that adapts to context without handing control to a model."},{"name":"SCRIMED Clinical Memory","slug":"clinical-memory","domain":"knowledge-memory","stage":"blocked-before-clinical-production","objective":"Store approved, task-scoped clinical context memory with consent, provenance, purpose-of-use, retention, and deletion controls.","coreCapabilities":["Purpose-bound memory","Source attribution","Retention and deletion policy","Clinical context recall with review"],"primaryInputs":["approved clinical context","evidence refs","purpose-of-use","reviewer approval"],"primaryOutputs":["memory reference","source trace","retrieval packet","deletion event"],"dependencies":["Context Engine","Policy Registry","Evidence Graph","Zero-Trust Audit Ledger"],"allowedDemoMode":"Use synthetic clinical memory references only.","blockedProductionMode":"No live PHI memory without consent, BAA/DPA, retention, deletion, audit, and customer approval.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Define a no-PHI memory record with source, purpose, scope, TTL, reviewer, and deletion event fields.","investorNarrative":"Prepares SCRIMED for personalization and continuity while respecting healthcare privacy constraints."},{"name":"SCRIMED Research Memory","slug":"research-memory","domain":"knowledge-memory","stage":"architecture-ready","objective":"Retain approved research hypotheses, evidence trails, search strategies, trial criteria, contradictions, and reviewer outcomes.","coreCapabilities":["Research trail memory","Evidence and contradiction recall","Search strategy versioning","Reviewer outcome linkage"],"primaryInputs":["research packet","literature references","evidence grades","reviewer outcomes"],"primaryOutputs":["research memory reference","evidence lineage","search replay packet","update task"],"dependencies":["ResearchOps","Scientific Reasoning Engine","Evidence Graph","Knowledge Evolution Engine"],"allowedDemoMode":"Use public-reference or synthetic research memory for simulations.","blockedProductionMode":"No patient-specific research memory or trial action without approval.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create research memory schema with hypothesis, sources, search method, contradictions, reviewer, and update status.","investorNarrative":"Improves research continuity and defensibility for enterprise research operations."},{"name":"SCRIMED Physician Preference Memory","slug":"physician-preference-memory","domain":"knowledge-memory","stage":"blocked-before-clinical-production","objective":"Capture approved clinician workflow preferences for drafting style, routing, documentation support, and non-clinical defaults without overriding clinical judgment.","coreCapabilities":["Preference capture","Scope and consent tracking","Preference-aware drafting","Preference audit and reset"],"primaryInputs":["clinician-approved preference","scope","version","review owner"],"primaryOutputs":["preference memory reference","drafting hint","audit event","reset event"],"dependencies":["Clinical Memory","Policy Registry","Audit Ledger","Prompt Registry"],"allowedDemoMode":"Use synthetic preference examples to tailor draft formatting and workflow routing.","blockedProductionMode":"No hidden preference learning, clinical decision override, patient-specific action, or unapproved clinician profiling.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Define opt-in preference memory with scope, owner, TTL, version, reset, and audit fields.","investorNarrative":"Supports sticky clinician workflows while preventing unsafe personalization or silent profiling."},{"name":"SCRIMED Benchmark Studio","slug":"benchmark-studio","domain":"continuous-evaluation","stage":"synthetic-demo-ready","objective":"Give SCRIMED operators a studio for designing, running, comparing, and publishing internal synthetic benchmarks and release evidence.","coreCapabilities":["Benchmark authoring","Scenario set comparison","Model/agent/prompt comparison","Release evidence export"],"primaryInputs":["benchmark definition","scenario suite","model route","agent version","prompt version"],"primaryOutputs":["benchmark report","comparison chart","release evidence packet","regression alert"],"dependencies":["ClinicalBench","Continuous Evaluation Platform","Model Registry","Prompt Registry"],"allowedDemoMode":"Run and display no-PHI internal benchmarks for diligence and release review.","blockedProductionMode":"No benchmark result may claim certification, clinical validation, or live-care approval.","safetyControls":["No-PHI synthetic fixtures only","Human review required for protected clinical workflows","Evidence and source attribution required","Confidence, limitation, and escalation criteria required","Audit event required for every module output","No direct LLM-to-database access","No autonomous system-of-record mutation"],"firstImplementationMilestone":"Create benchmark definition schema with scenario set, run metadata, score rubric, comparison targets, and release packet export.","investorNarrative":"Turns SCRIMED's testing discipline into a visible platform capability for enterprise diligence."}],"validation":{"status":"pass","checks":[{"check":"all-requested-modules-registered","passed":true,"detail":"All 19 requested SCRIMED modules must be present in the registry."},{"check":"human-review-boundary","passed":true,"detail":"Every module must preserve human review for protected clinical workflows."},{"check":"no-direct-llm-database-access","passed":true,"detail":"Every module must retain the no direct LLM-to-database invariant."},{"check":"blocked-production-boundaries","passed":true,"detail":"Every module must declare blocked production modes."},{"check":"evidence-and-audit-required","passed":true,"detail":"Every module must require evidence and auditability."}]},"nextImplementationStep":"Promote SCRIMED ClinicalBench, Trust Score, Benchmark Studio, and Continuous Evaluation Platform first so every new module has measurable safety and readiness evidence before workflow execution expands."}