How One Pharmaceutical Company Transformed Medical Affairs from Reactive to Proactive
March 23, 2026 Susan Shiff
A pharmaceutical company with a marketed product in a competitive therapeutic area. The drug requires companion diagnostic testing, which adds a layer of complexity to every Medical Science Liaison (MSL) conversation that pure-drug companies do not face. The Company also has additional products and pipeline assets across multiple indications.
The competitive intelligence gap. The Company’s flagship product competes in an indication where several other pharmaceutical companies have established products, well-resourced MSL teams, deep publication budgets, and extensive real-world evidence programs. The Company’s clinical differentiation was being challenged by emerging real-world data, and MSLs were encountering these publications in KOL conversations before Medical Affairs had formally assessed them. Each MSL was spending 15-20 hours per week on manual literature surveillance: pulling abstracts from PubMed, scanning congress proceedings, cross-referencing ClinicalTrials.gov for competing agents, and assembling briefing documents. The work was duplicative. Multiple MSLs independently searched the same publications and reached slightly different conclusions about what mattered.
Because the drug requires biomarker testing before it can be prescribed, MSL conversations inevitably turn to testing logistics: which labs run the assay, what turnaround times look like, and whether newer testing methodologies are validated for this indication. When a new paper compared testing approaches, or when a reference laboratory expanded its validated assay panel, MSLs needed to know about it. Not because it changed the drug’s efficacy, but because it changed the conversation a physician would have about prescribing it.
The congress preparation burden. Before each major congress, including ones where the company had its own abstracts accepted, the Medical Scientific Communications team pulled every abstract mentioning the Company’s products, competitor agents, companion diagnostic testing, or pipeline targets. The MSL team manually built congress briefing books, commenting on the abstracts based on the Company data.
The process worked, but at enormous cost. After one congress cycle, the MSL Operations lead calculated that the team had spent hundreds of person-hours on preparation, the equivalent of two full-time employees for a month. The output was a PDF that half the team had not finished reading before the conference started. There was no time left for the proactive competitive intelligence work the SVP wanted.
The SMRL bottleneck. The Medical Information team fielded hundreds of unsolicited medical requests, each requiring a Standard Medical Response Letter (SMRL). While the team had several responses in their reference library, constructing each letter still consumed approximately 20 hours of MSL time: pulling the right clinical evidence, formatting citations, and ensuring the response addressed exactly what was asked in an accurate, compliant, and rapid manner.
The Company approved a technology evaluation, giving the MSL Operations lead and the Director of Data Science a set of requirements organized around five capabilities: automated literature monitoring, KOL intelligence and meeting preparation, congress coverage acceleration, SMRL support, and proactive insight generation. The deliverable requested was a “Monday Morning Report,” which included a weekly digest that surfaced new publications, competitor activity, and KOL movements without anyone having to ask for it.
The Company evaluated several vendors, running a proof of concept against real data from the flagship product’s therapeutic area.
The Director of Data Science, who served as the technical evaluator, wanted a platform that automated the literature monitoring and produced outputs that MSLs could use directly, without his team having to clean, filter, and reformat every dataset. The MSL Operations lead brought a different lens. The Company’s previous attempt at a competitive intelligence tool had failed because it required individual users to configure alerts, build search folders, and tag results before it produced anything useful. MSLs are field-based scientists with eight KOL meetings a week. They did not have time to create a dashboard. The Operations Lead had learned from that experience that adoption is a design problem, not a training problem. Her evaluation criterion was behavioral: would MSLs open the platform voluntarily before a KOL meeting, or would they have to be reminded?
Qoniq won the contract for three reasons. First, the platform’s automated literature monitoring required minimal configuration per therapeutic area. Second, the KOL profiling capability aggregated publication history, clinical trial involvement, and conference activity into a single briefing view per KOL, eliminating the 4-6 hours of manual preparation each MSL had been doing before major engagements. Third, Qoniq’s approach to congress coverage (ingesting abstracts, applying AI-based tiering by relevance to the company’s strategic priorities, and producing structured briefing materials) directly addressed the congress preparation problem.
After the first year of operation, the Company reported the following outcomes:
MSL time reallocation. The MSL Operations lead had estimated that 40% of an MSL’s week was going to information gathering rather than scientific exchange. After the implementation, the Company estimated this had dropped to approximately 18%, not the 15% target.
SMRL production efficiency. MSL time per Standard Medical Response Letter dropped by half. The time savings came primarily from evidence retrieval and citation formatting, which the platform handled.
Congress preparation. Briefing production time dropped from three weeks to less than one week. The MSL Operations lead estimated that the team recovered the equivalent of two full-time months of effort per major congress.
Proactive insight generation. The “Monday Morning Report” became a standing deliverable.
The Company observed after the first year that the technology investment had changed the character of the team’s work more than its volume. Medical Affairs was not doing fewer things. It was doing different things. MSLs were spending more time in scientific exchange and less time in literature searches. The Medical Information team was spending more time on clinical judgment and less time on evidence retrieval.
The MSL Operations lead offered a more grounded assessment. The platform had solved the information-gathering problem, but it had also revealed a new one: with MSLs freed from manual research, they had additional time to deepen KOL relationships and capture strategic insights.
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