{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__veterinary_medicine","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"veterinary_medicine","title":"Silent detection of coupled perianesthetic deterioration in veterinary patients","opportunity_summary":"The proposal would analyze time-aligned anesthesia measurements for locally growing multivariate physiologic patterns that appear before ordinary single-variable thresholds, then generate a clinician-facing warning without making treatment decisions. Its potential value depends on demonstrating that such patterns are stable, reproducible, actionable, and superior to both standard monitoring and a supervised multivariable early-warning comparator.","adopter_authorizer":"A veterinary hospital or specialty anesthesia service would adopt the monitoring workflow; the attending veterinarian, delegated veterinary anesthesia clinician, and relevant hospital clinical-governance authority would authorize testing and use while retaining all diagnostic and treatment authority.","scores":{"meaningful_impact":{"score":4,"rationale":"Earlier recognition could reduce exposure to hypotension, hypoventilation, hypoxemia, or related harm while preserving clinician control. The consequence is clinically meaningful, but frequency, preventability, and realized outcome improvement are unsupported hypotheses."},"stakeholder_pull":{"score":2,"rationale":"Veterinary clinicians, technicians, owners, and animal patients have plausible interests in safer anesthesia, but the packet contains no interviews, demand evidence, workflow acceptance data, purchasing signal, or evidence that coupled pre-threshold deterioration is a prioritized unmet need."},"incremental_advantage":{"score":3,"rationale":"The proposed modes may provide earlier and more interpretable stability information than coordinate thresholds and may differ from a supervised early-warning score, but no measured lead-time, specificity, actionability, or outcome advantage is supplied."},"distinctiveness_plausibility":{"score":2,"rationale":"The local invariant-mode design and its stability, residual, drift, and spectral-gap governance form a specific composition, but prior art is explicitly unsearched, so distinctiveness relative to veterinary or clinical dynamical monitoring cannot be established."},"technical_implementability":{"score":3,"rationale":"The observable state, local model, comparators, residual checks, scope limits, and silent-testing sequence are specified. Implementability remains uncertain because phase dependence, artifacts, treatment confounding, nonlinearity, non-normality, conditioning, and mode drift may prevent a reproducible basis."},"adoption_authority_feasibility":{"score":4,"rationale":"The attending or delegated veterinary anesthesia clinician has a clearly identified decision role, ordinary monitoring remains active, and testing can begin silently. Hospital governance, data access, integration approval, and owner-facing policy requirements are not specified."},"evidence_readiness":{"score":3,"rationale":"A bounded retrospective validation and silent prospective shadow test are defined with relevant comparisons and falsifiers. Cohort size, eligibility, operational endpoints, comparator training, sample-size rationale, and numerical halt limits remain unspecified."},"safety_net_benefit":{"score":4,"rationale":"The proposal is an additive warning layer that preserves standard alarms and clinician authority, excludes autonomous treatment and deliberate destabilization, and provides rollback criteria. Residual risks include alarm fatigue, artifact-driven alerts, inequitable subgroup performance, and unwarranted causal interpretation."},"scalability":{"score":2,"rationale":"The same analytic pattern could in principle be reused, but species, body size, procedure, anesthetic phase, device, sensor configuration, and local practice differences may require separate validation, fitting, monitoring, and governance at each deployment context."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Preregister and conduct a single-site retrospective study, including record extraction and alignment, data cleaning, model and comparator development, held-out evaluation, subgroup checks, clinical adjudication, and documented prior-art review.","confidence":"LOW","assumptions":["A partner site already has sufficiently granular timestamped anesthesia records.","Existing data can be accessed under institutional governance without new sensing hardware.","The study remains retrospective and does not display alerts or alter care.","Cost includes clinician, data-engineering, statistical, governance, and evaluation labor."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare and execute a bounded silent prospective shadow test at one veterinary center, including monitor and record integration, quality controls, preregistration, staff coordination, security and compliance review, drift and residual monitoring, and independent evaluation.","confidence":"LOW","assumptions":["Testing is observational and silent, with ordinary monitoring unchanged.","One site, a bounded case series, and limited validated species, procedures, phases, and sensor configurations are included.","Existing monitors expose usable synchronized data interfaces.","No autonomous treatment capability or regulated hardware redesign is developed."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Launch a clinician-visible, governed warning capability across a limited multi-site veterinary network after successful shadow testing, including prospective comparative evaluation, workflow design, integrations, training, validation by subgroup and device, alert governance, support, and rollback capability.","confidence":"LOW","assumptions":["Earlier studies meet prespecified lead-time, false-alert, residual, calibration, drift, and subgroup-safety criteria.","Deployment remains decision-support only and retains all standard alarms.","Multiple device and site configurations require validation and integration work.","The band does not assume nationwide or cross-species deployment."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Operate a limited multi-site service with data pipelines, software support, model and mode-drift surveillance, calibration and subgroup audits, incident review, retraining or basis retirement, clinical governance, and periodic revalidation.","confidence":"LOW","assumptions":["The footprint is a limited veterinary network rather than universal deployment.","Sensor and workflow changes require continuing surveillance.","Clinical review remains necessary for alert adjudication and safety oversight.","No exact case volume, vendor pricing, or regulatory classification is available."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"Delayed recognition of perianesthetic deterioration is recognizable and independently framed, but the sealed packet supplies no external evidence that clinically important events commonly contain a missed coupled pre-threshold pattern."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"A veterinary anesthesia service is the identifiable adopter, and the attending veterinarian or delegated veterinary anesthesia clinician retains diagnostic and treatment authority; institutional governance would authorize testing."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The packet makes a testable claim that unstable multivariate modes provide reproducible warning lead time and acceptable false-alert burden beyond coordinate thresholds and a supervised multivariable early-warning score."},"bounded_next_evidence_step":{"status":"YES","reason":"A preregistered single-site retrospective validation followed only if warranted by a bounded silent shadow test is specified, with lead time, false alerts, residuals, drift, subgroup performance, and explicit falsifiers."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"Initial evidence collection does not display alerts or change care, standard monitoring remains active, clinicians retain authority, autonomous actions are excluded, and halt and rollback conditions are defined."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The candidate identifies needed data, testing stages, and governance controls, but gives no cohort scale, integration inventory, site count, regulatory pathway, staffing plan, or empirical basis for a reliable implementation range."}},"blocking_evidence":["Whether clinically important deterioration contains a reproducible coupled signal before any single threshold breach or obvious event.","Whether local modes remain sufficiently stable and well-conditioned across phases, interventions, artifacts, species, sizes, procedures, devices, and held-out cases.","Whether the mode-based method improves warning lead time, false-alert burden, calibration, and subgroup performance over both ordinary monitoring and a supervised multivariable rival.","Whether earlier warnings are actionable and improve clinician recognition or time in harmful physiologic states without causing unnecessary intervention or alarm fatigue.","Whether retrospective records contain adequate synchronization, measurement quality, intervention timestamps, and outcome labels for unbiased evaluation.","Whether materially similar veterinary, clinical, or dynamical-systems monitoring designs already exist.","Operational definitions for eligibility, sample size, lead time, adverse states, false-alert burden, subgroup harm, drift, residual, and halt thresholds."],"next_evidence_step":"Preregister a single-site retrospective, temporally held-out comparison of the proposed local mode detector against ordinary coordinate-threshold alarms, simple trend and timestamp-artifact controls, and a supervised multivariable early-warning model. Measure prespecified lead time, false alerts per anesthetic hour, residual and conditioning failures, calibration, and performance by species, size, procedure, phase, and device. Falsify progression if coupled trajectories add no reproducible pre-threshold signal, if the basis is unstable or ill-conditioned, or if performance fails prespecified burden or subgroup-safety limits; do not display alerts or change care.","research_questions":["How often do clinically important perianesthetic deteriorations lack a preceding individual threshold breach or obvious procedural event?","What local window and state representation, if any, produce reproducible and well-conditioned modes without leakage from later clinician actions?","How much incremental lead time and specificity does the mode detector provide over standard alarms and a supervised multivariable early-warning model?","Can sensor artifacts, missingness, anesthetic phases, and clinician interventions be distinguished from genuine growing physiologic patterns?","Are performance, calibration, and false-alert burden acceptable across species, size, procedure, device, and anesthesia-phase subgroups?","Which alert outputs lead clinicians to timely reassessment without implying diagnosis, causality, or autonomous treatment?","What improvement threshold would justify a silent prospective shadow test and later clinician-visible evaluation?","What materially similar veterinary anesthesia, clinical surveillance, or dynamical-mode monitoring approaches exist?","What data integration, governance, compliance, staffing, and revalidation requirements determine realistic deployment cost?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment provides no external evidence of problem prevalence, stakeholder demand, market size, prior art, or realized clinical benefit.","All claims of pre-threshold signal, earlier recognition, reduced harmful-state duration, and subgroup safety remain hypotheses.","Cost bands are resource-equivalent planning ranges rather than vendor quotes or point estimates.","The 3-to-12-month horizon applies only to earliest credible single-site evidence, not clinician-visible deployment or demonstrated patient benefit.","Species, procedure, phase, device, and sensor-configuration heterogeneity may sharply limit transportability.","A mathematically unstable mode must not be interpreted as a diagnosis, physiologic mechanism, or causal pathway."],"closed_book_prior_art_boundary":"Prior-art status is explicitly UNSEARCHED. This assessment cannot determine novelty, prevalence, competitive position, freedom to operate, or whether equivalent veterinary anesthesia, clinical early-warning, dynamical-systems, or mode-based surveillance methods already exist."}