Each handoff rebuilds the evidence story.
Teams receive documents and outputs without the assumptions, definitions, unresolved questions, decisions, and source context required to use them efficiently.
StromaOS connects knowledge management, evidence generation planning, decision packages, commitments, governance, cross-functional execution, and lifecycle handoffs in one shared operating environment.
Discovery, clinical, safety, regulatory, HEOR, market access, medical affairs, and quality often answer connected questions using separate repositories, vocabularies, timelines, tools, review models, and decision records.
Teams receive documents and outputs without the assumptions, definitions, unresolved questions, decisions, and source context required to use them efficiently.
Studies, analyses, experiments, reports, submissions, market commitments, and follow-up actions are tracked in separate planning systems and local spreadsheets.
Why a decision was made, which evidence was rejected, what uncertainty remained, who disagreed, and what happened afterward are difficult to retrieve and reuse.
Independent pilots, agents, models, tools, and internal applications create inconsistent controls for data, methods, quality, human authority, release, and traceability.
StromaOS coordinates evidence questions, shared context, work plans, domain execution, quality gates, accountable decisions, commitments, downstream actions, and organizational memory.
Decision, claim, gap, risk, commitment, study, analysis, market need, or lifecycle issue.
Sources, definitions, prior work, decisions, assumptions, gaps, commitments, owners, and deadlines.
Studies, analyses, experiments, workflows, dependencies, milestones, evidence standards, and review authorities.
Domain agents, methods, tools, systems, quality gates, exception routing, and accountable human review.
Decision package, approvals, actions, owners, downstream effects, commitments, and next evidence.
Evidence, versions, rationale, dissent, outcomes, lessons, and reusable lifecycle context.
StromaOS preserves shared meaning while allowing each function to extend the evidence under its own standards, methods, policies, and authority.
One approved cohort serves many functions. HEOR, safety, medical writing, clinical operations and market access receive the same versioned population by reference rather than each rebuilding it.
Mechanism, target, translation, risk, portfolio rationale, gaps, and evidence hypotheses.
Translational evidence, safety, exposure, readiness, unresolved risk, and planned work.
Protocols, endpoints, studies, operations, MIDD, safety, decisions, and cross-study learning.
Claims, evidence packages, submissions, questions, commitments, approvals, and responses.
Value evidence, payer needs, medical questions, local adaptation, and market commitments.
Safety, RWE, quality, label, market learning, evidence gaps, and lifecycle optimization.
StromaOS does not replace every specialist system. It creates the shared operating layer that connects those systems through common entities, evidence questions, workflow states, decisions, commitments, risks, milestones, and authority.
Leadership can review program and portfolio readiness without flattening the underlying scientific and functional detail.
Model an evidence operating reviewStromaOS applies a common execution architecture while keeping scientific, clinical, safety, regulatory, quality, market, medical, and portfolio decision rights separate.
Explore the Governance SpineCommon entities, definitions, ontologies, classifications, lineage, and temporal context allow functions to work from consistent meaning without forcing identical applications.
Role, purpose, function, program, data class, jurisdiction, workflow state, model, tool, action, approval, and release permissions are evaluated before execution.
Evidence sufficiency, method validity, reproducibility, completeness, confidence, unresolved uncertainty, dependency, and required review govern progression.
Scientific, clinical, safety, regulatory, quality, economic, medical, and portfolio authorities remain distinct and accountable even inside shared workflows.
Sources, transformations, methods, prompts, models, versions, policies, decisions, approvals, commitments, actions, outcomes, and reuse remain reconstructable.
Connect the systems and evidence already in use. Define the shared context, functional authorities, quality gates, commitments, owners, and decision record. Then run the work as one governed evidence operation.