{"service":"scrimed-source-intelligence","status":"source-informed-strategy-ready","route":"/source-intelligence","apiRoute":"/api/source-intelligence","boundary":"SCRIMED source intelligence converts public, official product and standards signals into SCRIMED-specific product strategy. It does not copy proprietary code, assets, trade secrets, private documentation, or imply a partnership, certification, endorsement, live connector, medical-device authorization, or clinical approval.","sourceCount":10,"categories":[{"category":"interoperability","count":1},{"category":"agent-operations","count":2},{"category":"design-quality","count":1},{"category":"model-governance","count":2},{"category":"healthcare-domain","count":2},{"category":"data-cloud","count":1},{"category":"sales-experience","count":1}],"signals":[{"sourceName":"HL7 FHIR","sourceUrl":"https://www.hl7.org/fhir/overview.html","category":"interoperability","observedPattern":"FHIR uses modular resources, profiles, capability statements, terminology, conformance, security, clinical, financial, and workflow modules for implementable health data exchange.","scrimedApplication":"Make every SCRIMED workflow declare standards fit, capability expectations, profile assumptions, terminology dependencies, and synthetic conformance gates before live connectors.","implementationPath":["Attach deployment-profile and workflow metadata to FHIR, HL7 v2, DICOMweb, X12, IHE, and terminology targets.","Keep synthetic conformance tests separate from vendor certification or production data exchange.","Use capability-statement style summaries for customer integration planning."],"governanceBoundary":"Interoperability readiness is synthetic and contractual until EHR, device, payer, customer, legal, privacy, and security approvals are completed."},{"sourceName":"Notion","sourceUrl":"https://www.notion.com/","category":"agent-operations","observedPattern":"AI workspace positioning combines agents, enterprise search, knowledge base, projects, docs, integrations, and multilingual availability into one operating surface.","scrimedApplication":"Package SCRIMED as a healthcare intelligence workspace where agents, knowledge, proof packets, project cadence, governance, and buyer follow-up live together.","implementationPath":["Add source-aware attribution and cadence so every buyer intake becomes a retained operating object.","Keep product proof, sales activity, governance packs, and deployment profiles connected.","Design future internal knowledge operations around one governed source of truth."],"governanceBoundary":"Workspace intelligence may organize business and workflow context, but it must not collect PHI through public intake or replace clinical review."},{"sourceName":"Figma Release Notes","sourceUrl":"https://www.figma.com/release-notes/","category":"design-quality","observedPattern":"Recent Figma releases emphasize planning before generation, live context fetch with approvals, queued instructions, accessibility suggestions, and design-system mismatch detection.","scrimedApplication":"Turn SCRIMED product changes into plan-first, approval-gated releases with accessibility, claims-control, design-system, and buyer-path checks before deployment.","implementationPath":["Retain source-intelligence plans for major product surfaces.","Add accessibility, content-claims, and route-smoke checks as release gates.","Keep generated ideas reviewable before they become buyer-facing product copy."],"governanceBoundary":"Design and planning controls improve product quality; they do not create legal, clinical, privacy, or compliance approval."},{"sourceName":"Cursor","sourceUrl":"https://cursor.com/","category":"agent-operations","observedPattern":"AI software work is moving toward codebase-aware agents, review queues, cloud/CLI workflows, enterprise security, and large-scale codebase understanding.","scrimedApplication":"Use SCRIMED AgentOS patterns for product build operations: indexed context, plan generation, review states, durable audit, and release checks.","implementationPath":["Treat every strategic build as a work order with context, plan, changes, tests, deployment, and rollback notes.","Expose known limitations and fallbacks rather than relying on a single local toolchain.","Keep code-generation output behind lint, typecheck, build, smoke, and deployment verification."],"governanceBoundary":"Build agents can accelerate engineering, but production healthcare workflows still require human review, audit, security, and clinical governance."},{"sourceName":"Hugging Face","sourceUrl":"https://huggingface.co/","category":"model-governance","observedPattern":"Model ecosystems combine models, datasets, applications, inference providers, compute, enterprise security, access controls, audit logs, and open-source tooling.","scrimedApplication":"Advance SCRIMED Model Router into a governed model and dataset registry with provider choice, audit logs, evaluation fixtures, and future private deployment options.","implementationPath":["Keep model-provider routing abstracted from product workflows.","Track model, dataset, prompt, evaluation, and deployment metadata as AI assets.","Separate open-model experimentation from protected healthcare data use."],"governanceBoundary":"Model availability does not authorize PHI processing, medical advice, autonomous care, or clinical validation."},{"sourceName":"Siemens Healthineers","sourceUrl":"https://www.siemens-healthineers.com/","category":"healthcare-domain","observedPattern":"Large healthcare technology portfolios span imaging, cancer care, diagnostics, point-of-care testing, digital automation, healthcare IT, services, education, cybersecurity, and global operations.","scrimedApplication":"Build SCRIMED as a domain-aware intelligence layer that can evaluate imaging, oncology, lab, device, education, workforce, and operational workflows without claiming device control.","implementationPath":["Expand synthetic scenarios for oncology operations, imaging workflow, lab result routing, and device-adjacent evidence.","Keep DICOM, DICOMweb, HL7 v2, FHIR Device, lab, and IHE boundaries explicit.","Use global deployment profiles for region, residency, support, and public-sector readiness."],"governanceBoundary":"Healthcare-domain depth does not permit diagnosis, imaging interpretation, device control, treatment planning, or medical-device claims."},{"sourceName":"Siemens Healthineers Cancer Care","sourceUrl":"https://cancercare.siemens-healthineers.com/","category":"healthcare-domain","observedPattern":"Cancer-care ecosystems include oncology management, treatment planning, patient engagement, analytics, quality assurance, theranostics, and interoperability.","scrimedApplication":"Strengthen TrialCore and Onco-ID roadmap planning around oncology workflow intelligence, eligibility review, missing evidence, analytics, QA, and survivorship coordination.","implementationPath":["Add oncology-specific synthetic proof scenarios with clinical-review and research-review ownership.","Attach evidence provenance, reviewer status, and no-treatment-recommendation boundaries.","Prepare oncology buyer messaging around workflow intelligence rather than autonomous cancer care."],"governanceBoundary":"Oncology intelligence remains synthetic, operational, and review-gated until licensed clinical validation and regulatory review are completed."},{"sourceName":"Snowflake Developers","sourceUrl":"https://www.snowflake.com/en/developers/","category":"data-cloud","observedPattern":"Modern data platforms expose AI/ML, application development, collaboration, data engineering, governance, notebooks, Snowpark, Streamlit, Cortex, tasks, and marketplace-style distribution.","scrimedApplication":"Prepare SCRIMED Healthcare Intelligence Graph and analytics layers for governed data-cloud deployment, customer warehouses, native apps, and reusable data products.","implementationPath":["Keep data-cloud connectors optional and customer-approved.","Design analytics outputs as governed data products with lineage, retention, and residency metadata.","Use synthetic notebooks or app-style demos before any customer warehouse integration."],"governanceBoundary":"Data-cloud readiness is not permission to move PHI, train models on customer data, or bypass data-processing agreements."},{"sourceName":"Sierra","sourceUrl":"https://sierra.ai/","category":"sales-experience","observedPattern":"Enterprise agent platforms emphasize multichannel deployment, agent memory, customer data, recommendations, proactive engagement, observability, experiments, monitors, and outcome-based pricing.","scrimedApplication":"Make SCRIMED buyer, patient-experience, and workflow agents measurable by outcome signals, channel, cadence, observability, and human escalation.","implementationPath":["Attach attribution, source route, campaign, target audience, and sales cadence to every buyer opportunity.","Use outcome-based proof metrics for pilots while blocking guaranteed ROI or reimbursement claims.","Add monitors for escalation, override, time saved, revenue leakage surfaced, and trust completeness."],"governanceBoundary":"Agent experience patterns can improve commercial and operational workflow design, but healthcare actions remain human-reviewed and non-autonomous."},{"sourceName":"Anthropic","sourceUrl":"https://www.anthropic.com/","category":"model-governance","observedPattern":"AI platforms increasingly publish safety, responsible scaling, transparency, security, compliance, developer, and model-family materials as part of enterprise trust.","scrimedApplication":"Evolve SCRIMED TrustOS and Model Router with explicit safety policy, model-family abstraction, escalation thresholds, transparency packets, and security evidence.","implementationPath":["Add model-route metadata to AI outputs and proof packets.","Document safety thresholds for when SCRIMED escalates instead of answering.","Keep trust center, claims register, and evidence packets aligned with actual current capability."],"governanceBoundary":"AI safety architecture supports trust, but it is not a substitute for healthcare regulatory review, clinical validation, or customer governance approval."}],"implementationThemes":["Standards-first interoperability","Governed agent workspace operations","Plan-first product release quality","Model-router and AI asset governance","Healthcare domain depth without clinical overclaiming","Data-cloud and sovereign deployment readiness","Outcome-measured sales and workflow activation"],"nextBuildStep":"Connect source-informed patterns to sales attribution, pilot intake, product proof packets, and release-quality gates.","updated":"2026-06-15"}