Dermatology-by-condition directories with SleekRank
Combine AAD membership with condition-specific clinic signals. Emit one page per condition at /dermatologist-for/{condition}/. Map condition-specialist count, clinical trial enrollment, and accepted insurance breadth into headlines, schema, and clinic cards.
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AAD plus clinic data turned into 120 condition-specific pages
Patients with named dermatologic conditions search by the diagnosis, not by city. "Dermatologist for hidradenitis suppurativa" or "dermatologist for vitiligo treatment" is how the referral path starts when a primary care doctor names the condition. The rankable surface is condition x specialty-depth x clinical-trial-availability. AAD membership covers around 13,000 board-certified dermatologists, with around 120 named conditions having identifiable specialty clusters. Hand-building a page per condition is a project that gets started and never finishes.
SleekRank reads a combined source: the AAD-derived member roster plus a condition-to-specialist mapping built from clinic websites and trial listings. Each row becomes a URL at /dermatologist-for/{condition}/ from a base WordPress page you designed. Add cutaneous T-cell lymphoma with 40 condition specialists nationwide and 12 active trial sites, the page goes live on the next cache cycle. Update the trial count quarterly and every relevant page refreshes.
Mappings handle the wiring. Tag mappings put condition in the H1 and title. Selector mappings drop specialist count, trial site count, and insurance breadth into hero badges. List mappings render clinic cards from a nested clinics array, each with specialty depth and trial enrollment tags. Meta mappings emit per-page MedicalCondition and MedicalBusiness JSON-LD. XML sitemap inclusion is automatic.
Workflow
From AAD plus trial data to a 120-condition directory
1. Design one base condition page
2. Connect both data sources
3. Wire the mappings
4. Generate and publish
Data in, pages out
From condition row to a live URL
| slug | condition | specialist_count | active_trial_sites | lead_academic_center |
|---|---|---|---|---|
| hidradenitis-suppurativa | Hidradenitis Suppurativa | 85 | 18 | UNC HS Clinic |
| vitiligo | Vitiligo | 60 | 9 | Henry Ford Vitiligo Clinic |
| cutaneous-t-cell-lymphoma | Cutaneous T-Cell Lymphoma | 40 | 12 | MD Anderson |
| alopecia-areata | Alopecia Areata | 120 | 22 | Columbia Hair Disorders |
| psoriasis | Psoriasis | 300 | 65 | Brigham and Women's |
/dermatologist-for/{slug}/
- /dermatologist-for/hidradenitis-suppurativa/
- /dermatologist-for/vitiligo/
- /dermatologist-for/cutaneous-t-cell-lymphoma/
- /dermatologist-for/alopecia-areata/
- /dermatologist-for/psoriasis/
Comparison
Hand-built condition pages vs SleekRank
Manual per-condition pages
- Each condition is a hand-typed WordPress page with specialist clinics named once
- Trial site counts go stale within weeks because trials open and close constantly
- Insurance breadth is buried in prose and rarely reflects the current network
- Schema is duplicated by hand and slowly diverges across condition pages
- Sitemap and OG images maintained manually and routinely forgotten
- New named conditions never get a page because the editorial bar is too high
SleekRank
- One base page in WordPress, 120 condition URLs from one combined source
-
active_trial_sitesselector mapping renders a hero badge per condition -
specialist_countmapping highlights conditions with deep specialty clusters - List mappings render clinic cards with specialty depth and trial tags
- Cache duration per source, trial site counts refresh on a 7-day cycle
- Per-page MedicalCondition and MedicalBusiness JSON-LD
Features
What SleekRank gives you for Dermatologists by condition treated
AAD and trial data as the source
Mirror AAD membership and the condition-to-specialist mapping into a Google Sheet, JSON file, or REST endpoint. Pull active trial sites from ClinicalTrials.gov as a secondary source. SleekRank refreshes 120 condition pages on the next cache cycle.
Condition and trial mappings
Tag mappings carry condition into title and H1. Selector mappings drop specialist count, active trial sites, and insurance breadth into hero badges. List mappings render clinic cards with specialty depth and trial enrollment tags.
Weekly refresh on trial data
Clinical trials open and close on a fast cycle. Set a 7-day cache on the trial source, a 30-day cache on the AAD-derived clinic data, and every affected condition page reflects both sources without manual intervention or theme deploys.
Use cases
Where SleekRank fits a condition-first dermatology directory
Diagnosed-patient resource hub
Capture "dermatologist for [condition]" intent across 120 named conditions. Each page lists specialist clinics, trial sites, and insurance breadth so patients filter by clinical fit, not just geography.
Academic dermatology center outreach
An academic center with deep depth in three or four conditions can publish a per-condition hub that lists its clinic plus complementary national resources, with the same base template and consistent schema.
Patient advocacy organization
Condition-focused advocacy groups can publish a per-condition specialist directory off their CRM plus clinic data, with MedicalCondition schema and donation CTAs in the same base template.
The bigger picture
Why condition-first dermatology beats city-first for diagnosed patients
Once a primary care doctor names a condition, the search shifts from geography to specialty depth. A patient told they have hidradenitis suppurativa or cutaneous T-cell lymphoma will travel to the right clinic, and the question becomes which clinics actively specialize, which are running trials, and which accept the patient's insurance. A static condition page that names twenty clinics goes stale fast because trial sites open and close every quarter and clinic specialty depth shifts as fellows graduate into new programs.
A data-driven directory keeps both signals current and surfaces them as visible badges rather than buried prose. The page becomes a referral tool referring physicians bookmark, not just a marketing page patients land on once. Editorial cost is low because one base page powers 120 condition URLs.
Schema is consistent across every page. The directory earns trust from both patient advocacy groups and the specialty clinics it lists, which compounds into traffic and a defensible position. Generic aggregators cannot match the specificity because they have not modeled the condition-by-trial-by-insurance dimension that diagnosed patients actually filter on.
Questions
Common questions about SleekRank for Dermatologists by condition treated
The source is split: a slow-moving AAD-derived clinic file and a fast-moving trial site file pulled from ClinicalTrials.gov. SleekRank reads both with separate cache durations (30 days for clinics, 7 days for trials). When a trial opens or closes, the condition page reflects it within the week without manual editing.
 Conditions need three things: a named diagnosis with measurable search volume, at least 20 specialist clinics nationally, and at least three active trial or registry sites. That filter produces around 120 conditions today. The roster decides editorial scope so you never publish a thin page for a condition with no specialty depth.
 Yes. The clinic row carries a population field (adult, pediatric, both). The list mapping renders a chip on each clinic card. Patients filter visually by which clinics see pediatric vs adult patients, which matters for conditions like alopecia areata where pediatric and adult care paths diverge materially.
 Yes, via a meta mapping that writes JSON-LD into the page head. The schema combines MedicalCondition (with the named condition) and a memberOf-style reference to the AAD member clinics as MedicalBusiness entities. Google reads both, which strengthens the page for condition-first search.
 The clinic row can carry a therapy-availability array per clinic. The list mapping renders therapy chips. Patients with biologic-eligible conditions like atopic dermatitis or alopecia areata see which clinics actively prescribe the newer therapies, which is a real decision driver in 2025.
 Yes. If the source carries an insurance breadth field per clinic (major networks, Medicaid, cash-pay), the list mapping renders it as a chip. Insurance is often the bottleneck for condition-first referrals, so visible insurance signals make the page genuinely useful rather than a polished aggregator.
 Yes. Anything on the base page renders on every generated condition page. A referral form built with Gravity Forms or HubSpot appears on all 120 condition URLs, with condition and lead academic center passed into hidden form values via shortcode so submissions route to the right team.
 Patients with a named condition search by the diagnosis, not the clinic name. A CPT-per-clinic inverts the search intent and forces taxonomy archives to recover the condition URL. SleekRank gives you the condition page directly with clinics as data inside it, which matches how diagnosed patients actually search.
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