Making Complex Specialty Care Easier to Navigate
How an academic health system unified hundreds of clinical specialties into a structured, patient-centered component operating system that search engines and patients can easily navigate.
How an academic health system unified hundreds of clinical specialties into a structured, patient-centered component operating system that search engines and patients can easily navigate.
Academic medical centers provide some of the world’s most advanced subspecialty medicine—from rare genitourinary cancers to complex skull-base neurosurgery. However, their websites often reflect internal administrative departments and academic silos rather than how vulnerable patients actually search for care.
At UC Health, hundreds of clinical service lines, programs, and condition pages were managed across scattered documents with inconsistent authoring rules. Writers had to guess which components to use, clinical faculty were frustrated by ad-hoc interview requests, and patients struggled with conflicting navigation between condition overviews, physician profiles, and scheduling triage.
Serving as the in-house SEO Manager and content systems lead, I was responsible for bridging the divide between clinical subject-matter experts (physicians and nurse practitioners), brand marketing, and the technical web development team.
Rather than treating SEO as a post-launch keyword polish, I designed the structural taxonomy and co-architected the Component Operating System. I established how information is gathered, governed, assembled, and indexed across the digital footprint.
Attending physicians have packed surgery schedules and clinical rounds. We could never expect clinicians to write marketing copy or review lengthy open-ended drafts.
Medical information requires strict factual adherence, plain-language patient explanations, and exact adherence to credentialing without hyperbolic marketing superlatives.
Dozens of multidisciplinary programs overlap (e.g. Cancer Institute vs. Surgery vs. Radiation Oncology), requiring explicit wayfinding components to avoid canonical confusion.
Content had to be drafted reliably by internal marketing consultants, freelance writers, and structured AI workflows without deviations from brand style.
Architectural Thesis
“Meaning lives in structure, hierarchy, prominence, and context.”
When pages fail to rank or confuse patients, the problem is rarely a shortage of keywords. The failure happens because content is treated as unstructured prose in Word documents rather than modular data linked to distinct user tasks.
To solve this systematically, I developed a 3-Layer Model that treats every website component (from the hero banner to interactive triage tabs) as structured data:
Instead of asking physicians “Write a headline,” we ask structured questions: “What is the primary patient symptom?”, “Which conditions do you co-manage with primary care?”, and “What are the direct referral criteria?”
Non-negotiable guidelines for human writers and AI prompts alike: character caps, heading syntax (no punctuation in H2s), mandatory reading-level targets (8th-grade Flesch-Kincaid), and explicit bad-smell tests (e.g. banning unverified claim words like “best” or “leading”).
A precise assembly specification that maps Layer 1 inputs through Layer 2 constraints into the CMS component schema, enabling consistent, scalable drafting across thousands of clinical assets.
The system established 14 reusable components divided into three distinct functional categories:
When clinical departments wanted to list 40 different conditions on a single landing page, simple link lists created visual exhaustion and high bounce rates. We engineered Re04: an interactive tabbed matrix separating primary conditions from wellness articles. This allowed search engines to discover all deep URLs while keeping the immediate visual experience clean and accessible for stressed patients on mobile devices.
In accordance with our evidence standards, we separate delivered operational artifacts from multi-factor organizational metrics:
Digital health redesigns occur in multi-year phases across large clinical enterprises. System components roll out gradually across service lines. Overall health system traffic gains reflect combined contributions from marketing teams, PR, EHR integrations, and search demand shifts; this case study documents the content architecture and component systems design specifically.
Whether you run a hospital system or a national consulting firm, your experts should provide facts, symptoms, and nuances—not polished marketing paragraphs. When you establish explicit components with predefined character rules and prompt schemas, high-quality search content becomes repeatable and scalable.
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