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Ephicacy Health Research

Published thinking, not blog posts.

Architecture briefs, regulatory reads, and market analyses we publish under our own byline. The cadence is slow on purpose — pharma marketers don't need more content; they need fewer, better arguments.

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The MLR Brief™
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OPDP enforcement actions, competitor DTC moves, AI/regulatory guidance updates, and field intelligence — written for people who run brand DTC, not researchers. Delivered Tuesdays. Free.
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Published
Regulatory brief
published
What the July 23 OPDP guidance means for AI-generated DTC
Ephicacy Health Regulatory Desk · Apr 2026 · published · ~1,800 words
Plain-language read on the July 23 OPDP guidance update, what changed in the disclosure-presentation thresholds, and how Content Engine rule sets adapt. Includes a redline of the practical impact on Reels, IVA frames, and Approved Email.
OPDPRegulatoryReelsApproved Email
Market analysis
published
The 12-Month Window: AI displacement in pharma DTC creative
Ephicacy Health Strategy Desk · Apr 2026 · published · ~3,200 words
Which functions in the pharma DTC agency stack get eaten by AI on a 12-month horizon, which don't, and what the boutique-agency move looks like. Argues that licensing the engine is the only durable strategy for PE-backed indies.
AgencyStrategyPE-backedDisplacement
In drafting
Whitepaper · Foundational
drafting
AI in MLR-Regulated Markets: A Practitioner's Brief
Maha Elashri · Zein Khleif · Q2 2026 · in drafting · ~6,000 words · 24 pp
What pharma DTC teams actually need from generative AI — and what they cannot accept. A practitioner's view of fair-balance, ISI, OPDP enforcement patterns, and how to architect a content engine that survives MLR review on the first cycle.
MLROPDPArchitectureProcurement
Technical note
drafting
Veeva PromoMats + CRM as a feedback loop, not an archive
Ephicacy Health Engineering · Q2 2026 · in drafting · ~2,400 words
Most pharma DTC content engines treat PromoMats as a final destination. We treat it as a learning surface — every approval, every flag, every channel-performance signal goes back into Intelligence. The architecture and the data shape it requires.
VeevaBrand BrainArchitecture
Planned · Q3 2026
Vertical brief
planned
Rare disease DTC: when patient communities outpace your channel plan
Maha Elashri · Q3 2026 · planned · ~2,800 words
Rare-disease and orphan indications break the standard pharma DTC playbook. Patients self-organize on Reddit and Discord faster than pharma can stand up a paid plan. How to design a content cadence that meets patients where they already are.
Rare diseasePatient communitiesReddit
Architecture brief
planned
Designing Content Engine: rule sets that survive enforcement
Ephicacy Health Engineering · Regulatory Desk · Q3 2026 · planned · ~3,000 words
How we structure the rule engine inside Content Engine: declarative OPDP-citation-anchored rules, regex + semantic detectors, the auto-rewrite loop, and the auditability requirements that come with running a pre-MLR check at scale.
Compliance RailArchitectureOPDP
Editorial principles

How Ephicacy Health Research is run

Every piece is signed by a named author. No anonymous "Ephicacy Health Team" posts.

Every claim is sourced. OPDP letters, peer-reviewed literature, public-domain MLR commentary, our own production data — citations live in the footnotes.

We do not publish about generative-AI capabilities in the abstract. We publish about regulated-market production problems and how we're solving them in client engagements.

Cadence is one piece every six weeks. We'd rather publish four good arguments a year than 40 forgettable ones.

Forward thisOne click to the right page for whoever you need to loop in.
Exec one-pager → CMOTrust & Compliance → SecurityEngagement → ProcurementTrack record → SkepticFAQ → AnyoneStart a pilot → Action
What's underneathArchitecture · advisors · published thinking.
Architecture Intelligence · Content Engine · Activation · MeasurementBrain Trust Named advisorsResearch Ephicacy Health · published
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OVYN · Content Studio for Pharma