Approved and emerging evidence live in separate channels.
Publications, trial updates, congresses, internal analyses, approved content, field insights, and medical questions are monitored and reviewed in different systems.
Medical affairs & information intelligence
Keep scientific response connected to approved evidence.
StromaOS connects scientific monitoring, field insight, medical information, evidence response, scientific communications, review, approval, and reuse in one governed execution environment.
Approved evidence retrieval
Governed scientific response
Separated draft and release
Reusable medical memory
The medical affairs operating problem
Scientific questions move faster than approved knowledge can be assembled.
Medical affairs and medical information operate at the intersection of changing evidence, external scientific exchange, field insight, approved response, compliance, and local execution. The work is often split across monitoring tools, insight systems, repositories, documents, email, vendors, and manual review.
Teams rebuild the evidence package for each question.
Medical information staff repeatedly retrieve, verify, cite, draft, and review content that the organization has already approved or closely related evidence it has already assessed.
Observations are mixed with interpretation.
Field notes, stakeholder questions, patterns, hypotheses, recommendations, and decisions are often compressed into the same record, weakening the ability to distinguish evidence from inference.
Drafting can accelerate faster than review and release.
AI can classify, retrieve, summarize, and draft, but it cannot be allowed to select unapproved evidence, infer beyond the record, bypass medical review, or communicate without explicit authority.
How the solution works
Medical work becomes one governed insight-to-response chain.
StromaOS coordinates scientific monitoring, question classification, approved evidence retrieval, insight analysis, drafting, citations, review, approval, engagement, follow-up, and reuse in one execution model.
STEP 01
Capture the scientific input
Publication, congress update, field insight, unsolicited question, competitor event, guideline, or evidence change.
STEP 02
Classify context and authority
Question type, audience, jurisdiction, channel, approved evidence scope, urgency, and required review.
STEP 03
Assemble the evidence
Approved content, source evidence, citations, limitations, emerging evidence, prior responses, and unresolved gaps.
STEP 04
Draft and review
Source-linked synthesis, approved language, exceptions, medical review, compliance review, and revision.
STEP 05
Release and engage
Authorized response, scientific exchange, channel controls, local adaptation, follow-up, and escalation.
STEP 06
Preserve and learn
Sources, versions, rationale, approval, audience, response, insight, outcome, and reusable medical memory.
Scientific response control
Every response remains connected to its approved evidence, audience, jurisdiction, review, and release authority.
StromaOS treats medical response as a governed execution chain rather than a document-generation task. Evidence eligibility, question context, approved content, citations, review requirements, local adaptation, and release authority are evaluated before communication.
The result is faster response without weakening scientific or compliance control.
Model a medical response workflow
Responses are assembled from approved evidence and stay linked to it. What was said, on what basis, and who released it remain answerable long after the inquiry closed.
Governance throughout medical execution
AI can accelerate retrieval and drafting without inheriting medical or communication authority.
StromaOS separates monitoring, classification, retrieval, synthesis, drafting, interpretation, recommendation, review, approval, local adaptation, release, and engagement.
Explore the Governance Spine01
Evidence eligibility control
Policy determines which approved and emerging evidence may be used for a specific question, audience, jurisdiction, channel, purpose, and response type.
02
Observation and inference separation
Field observations, stakeholder questions, patterns, interpretations, hypotheses, recommendations, and decisions remain distinct in the record.
03
Draft versus release authority
AI may classify, retrieve, summarize, compare, and draft without receiving authority to approve, adapt, send, publish, or communicate.
04
Review and channel control
Medical, compliance, legal, local, channel, audience, and jurisdiction reviews are applied according to the content and communication context.
05
Evidence Data Trace
Sources, claims, prompts, versions, citations, comments, decisions, approvals, audience, channel, response, follow-up, and outcome remain reconstructable.
Start with one medical response workflow, insight process, or scientific monitoring bottleneck.
Connect the evidence sources and specialist systems already in use. Define approved evidence, audience, jurisdiction, review, release authority, and reuse boundaries. Then run the work as one governed medical operation.