Medical Affairs Operations: The Systems Behind Field Medical and MI

Medical affairs operations is the set of processes and systems that move scientific knowledge between a life sciences company and the clinical community: field insights coming in, medical information going out, engagement with experts, and review of scientific and promotional content. Most of its problems sit at four handoffs, where information is captured in one system and expected to be used by a team working in another.

Medical affairs has grown from a support function into one that shapes evidence plans, guideline conversations and how clinicians understand a product's data. Its operating model has not always kept up. Many teams still run on a CRM built for sales, a medical information system that does not talk to it, a review tool that holds approved claims nobody else can see, and a set of spreadsheets for experts and congresses.

This guide maps the four flows that run through the function, where each one breaks, the systems behind them, and how to measure whether they work. Each section links to a guide that goes deeper. The function itself is described on our medical affairs and evidence teams page.

The Guides in This Cluster

Start with the map, then the reasoning.

What Medical Affairs Operations Covers

The work divides into four flows. Field insights move inward, from conversations between medical science liaisons and clinicians to the people who set medical strategy. Medical information moves outward, as accurate, non-promotional answers to clinicians' questions. Expert engagement runs both ways, through advisory boards, scientific exchange and congresses. Content review is the gate through which scientific and promotional material passes before use.

Evidence generation, publications and medical education sit alongside these flows and depend on them. An evidence plan is only as good as the insight and medical information data that tell it where the gaps are.

Flow One: Field Insights

MSLs hear things no dataset contains: how clinicians select patients, how they read a subgroup analysis, what worries them about a safety signal. Most organizations capture this, and most lose it, because insights are entered as free text into broad categories and no one owns the themes. The fix is structural: key insight questions in place of topic lists, a short quality bar at entry, and a review cadence that ends in owned actions. The full approach is in MSL insight capture.

Flow Two: Medical Information

Medical information answers clinicians' questions, including unsolicited questions about unapproved uses, and screens every request for adverse events. Its turnaround is usually lost in searching for an approved answer rather than writing one. Question-indexed standard response documents with approval status and expiry, and routing by tier at intake, change the number. See medical information request handling.

Flow Three: Expert Engagement

Expert engagement depends on knowing who matters for which purpose. Lists built from reputation drift toward the same small group; lists built from publication, trial, guideline and digital signals, weighted by objective and validated by the field, can be defended. Congresses concentrate this work into a few days, and plans built backward from the questions the team needs answered produce more than agenda-driven ones. See KOL identification and mapping and congress planning. The KOL intelligence use case shows the data model in practice.

Flow Four: Content Review

Medical, legal and regulatory review protects accuracy and compliance, and is often blamed for delay. The time usually goes on repeated rounds caused by unsupported claims, unlinked references and vague comments. A claims library, claim-level reference linking and reason-coded returns cut the rounds. Medical content and promotional content should follow separate paths. See MLR review.

The Four Places the Flow Breaks

The pattern across all four is the same. Information is captured in a form that suits the system holding it, not the team that needs to act on it. That is why adding people to the team that owns each flow rarely helps: the problem is at the handoff, not inside the team.

The flows also feed each other. Recurring medical information questions are insights. Insights identify experts. Congress conversations generate medical information requests. Approved medical responses are the best source of accurate wording for review. An operating model that treats them separately loses these connections.

The Technology Stack

Most medical affairs stacks have all five layers. Fewer have them sharing data. The practical test is whether a person in one flow can see what the others know: whether an MSL preparing for a meeting can see the expert's recent medical information questions, or whether a reviewer can see that a claim matches an approved response.

AI is most useful where it bridges layers: retrieval across approved content with citations and permission controls, clustering insights into candidate themes for medical review, and checking drafts against the claims library before submission. In each case a qualified person keeps the decision. Our medical affairs AI capability describes how we build these, and Simulex uses approved messaging and recurring clinician questions to help field teams practice realistic scientific and clinical conversations.

Measuring Whether It Works

If the scorecard counts interactions, meetings and sessions attended, it measures effort. Metrics that show effect include insights that led to action, evidence gaps closed, medical information quality by tier, coverage of priority experts, delivery of the scientific plan and clinician perception. Each needs records many teams do not yet keep, which is a useful indicator of where to start. See medical affairs metrics beyond activity counts.

Where to Start

Pick the flow where the break is most visible and fix the handoff before the tooling.

• Write five to eight key insight questions and attach an owner to each
• Index standard response documents by question and add approval status and expiry
• Document the criteria behind the expert list and set a refresh cadence
• Count review rounds per asset and classify return reasons
• Set congress objectives as questions before the abstract deadlines
• Replace one activity metric with an outcome metric and build the record behind it

References

• Medical Affairs Professional Society (MAPS), standards and resources for medical affairs practice. medicalaffairs.org
• Communications From Firms to Health Care Providers Regarding Scientific Information on Unapproved Uses of Approved/Cleared Medical Products: Questions and Answers. US Food and Drug Administration, final guidance, January 2025. www.fda.gov
• Responding to Unsolicited Requests for Off-Label Information About Prescription Drugs and Medical Devices. US Food and Drug Administration, draft guidance, December 2011. www.fda.gov
• PhRMA Code on Interactions with Health Care Professionals. Pharmaceutical Research and Manufacturers of America. www.phrma.org
• Open Payments. Centers for Medicare and Medicaid Services. www.cms.gov

This guide describes process and regulatory expectations in general terms and is not legal or regulatory advice. Confirm the current version and applicability of any code or guidance for your products and markets.