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Case Examples in Regulated Communication Design

This portfolio presents selected case examples demonstrating structured communication design in regulated environments.


Work includes client-commissioned assignments, simulated samples developed to illustrate capability, and original research and analysis examining interpretive risk in AI-assisted communication and professional education contexts.

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Patient & Public-Facing Communication

Communication intended for patients and public audiences requires careful calibration of tone, scope, and implied actionability. The following examples demonstrate how complex clinical and regulatory concepts can be translated into accessible formats while preserving appropriate boundaries.

Patient Sitting Down

Type: Portfolio Sample (Simulated)

Year: 2025

This plain-language handout explains patient rights related to informed consent, second opinions, privacy, and access to medical information during clinical encounters.

The piece demonstrates the ability to distill complex healthcare and regulatory concepts into clear, scope-aware content that supports patient autonomy while maintaining appropriate clinical boundaries.

Interpretive Risk in AI-Generated Patient-Facing Medical Content

Type: Research / Position Paper

Published By: Fortunus Media
Year: 2026

This white paper examines how AI-generated patient-facing medical content can introduce interpretive risk—the risk that readers draw conclusions exceeding what the underlying evidence supports due to tone, framing, and implied certainty.

 

Using applied scenarios, the paper explores how fluent, confident-sounding language may amplify certainty signals, reassurance bias, scope drift, and implied actionability. It reframes medical writing in AI-assisted workflows as interpretive mediation rather than surface editing.

Digital Health misinformation

Type: Portfolio Sample (Simulated)

Year: 2025

This SEO-optimized explainer outlines what health misinformation is, why it spreads rapidly online, and how readers can protect themselves by verifying medical claims through credible sources.

It demonstrates my ability to produce accuracy-driven, plain-language health communication content that aligns ethical SEO practices with public-health literacy goals.
 

Professional & Educational Communication

Communication for professional audiences requires precision, structural clarity, and awareness of downstream reliance. The following examples illustrate educational and professional-facing materials designed within regulated contexts.

Lipedema CME Module

Type: CME Literature Review, CME Slide Deck, and Activity Documentation (Simulated)

Year: 2026 

This simulated continuing medical education (CME) package demonstrates full-cycle content development for a Canadian primary care audience, from working literature review through accredited-standard slide deck to activity documentation.

 

The activity addresses a documented practice gap: lipedema remains significantly underdiagnosed in Canadian primary care due to limited clinician awareness and an absence of Canadian-specific diagnostic guidance and referral pathways.

AI workflow blog hero pic.png

Type: Insight Article
Published By: Fortunus Media
Year: 2026

This article examines a structural quality problem in AI-assisted continuing professional development production: AI-generated legal education can appear authoritative while containing hallucinated citations, outdated statutory references, and scenarios too generic to support real-world practice.

The piece proposes a three-stage responsible workflow covering practice gap identification, source calibration, and substantive review before approval. 
 

Ai Ethics and Professional Judgment Cover Image.png

Type: CPD Course

Client: LearnFormula

Year: 2026

 

This structured continuing professional development (CPD) program for lawyers examines supervision, disclosure, and governance considerations in AI-assisted legal workflows.

 

The course aligns learning objectives with legal professional standards and incorporates scenario-based risk analysis to support ethical decision-making in AI-assisted professional practice.

Social Media and the Law Course Image.png

Type: CPD Course

Client: LearnFormula

Year: 2026

This CPD course examines how lawyers’ online communication—whether on LinkedIn, X, or other platforms—can engage professional obligations, even when intended as informal commentary.

Through practical examples, the course explores key risks including unintended legal advice, confidentiality breaches, AI-assisted drafting risks, platform-specific considerations, and reputational impact, and provides strategies for navigating digital communication while maintaining professional standards.

It demonstrates the ability to translate professional responsibility doctrine into scenario-based learning for regulated audiences navigating informal communication contexts.

How-STEM-PhDs-can-write-clear-public-facing-medical-content.jpg

Type: Client Work
Client: Health Writer Hub
Year: 2026


This instructional article examines why the writing habits rewarded in academic contexts—leading with methodology, assuming shared baseline knowledge, front-loading theory before practical implications—often create barriers for general readers in public-facing medical communication.


The piece offers concrete reframing strategies for academics transitioning into health writing, addressing how to lead with practical consequences, acknowledge uncertainty directly, and present accurate information in a form non-specialist readers can process and act on.

Warehouse Worker Checking

Client: Fortunus Media (Sample Piece)
Year: 2025

This blog outlines how AI-enabled warehouse management systems reduce manual decision-making, improve accuracy, and support leaner fulfillment teams. 

It demonstrates my ability to translate complex operational workflows and software functionality into clear, operationally grounded insights for 3PL operators, fulfillment centre managers, and logistics SaaS buyers evaluating automation-ready WMS platforms.
 

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