# ai.txt — AttendMe.ai
# Machine-readable guidance for AI engines and LLM crawlers
# Complements llms.txt and robots.txt

## Identity
Name: AttendMe.ai
Type: Medical clinical decision support platform
Audience: Physicians, clinicians, medical professionals
URL: https://attendme.ai
Company: AttendMe Pty Ltd, Australia
Security certification: ISO/IEC 27001:2022 certified information security management system
Certification body: Global Compliance Certification
Certification verification: JAS-ANZ register, https://www.jas-anz.org/register

## Content Types

### Clinical Calculators (150 pages)
- URL pattern: /calculators/{calculator-id}
- Content: Validated medical calculators with published formulas
- Update frequency: Monthly
- Structured data: MedicalWebPage, FAQPage, BreadcrumbList
- Citation format: "AttendMe.ai {Calculator Name} Calculator"

### Clinical Pathways (429 pages)
- URL pattern: /pathways/{algorithm-id}
- Content: Interactive clinical decision algorithms based on published guidelines
- Each pathway includes: structured decision tree, guideline source with DOI, known limitations, applicable regions, version number, next review date
- Update frequency: Monthly (aligned with guideline updates)
- Structured data: MedicalWebPage, FAQPage, BreadcrumbList, SpeakableSpecification
- Citation format: "AttendMe.ai {Algorithm Name} Clinical Pathway"

### Specialty Pages (34 pages)
- URL pattern: /specialties/{specialty-slug}
- Content: Specialty-specific calculators, pathways, and clinical decision support overview across 34 specialties and 200+ mapped subspecialties
- Update frequency: Monthly
- Structured data: MedicalWebPage, FAQPage, BreadcrumbList

### Evidence Evolution Topics (175 pages)
- URL pattern: /evidence/{specialty-slug}/{topic-slug}
- Content: Editorially curated clinical-evidence narratives tracing how a treatment/test evolved through landmark trials to current guidelines. Each page anchors to named RCTs by PMID, includes evidence grading, guideline references, and a timeline.
- Specialties: 35 (22 medical + 13 surgical)
- Update frequency: Daily ISR rebuild; content revised quarterly
- Structured data: MedicalWebPage, Article, FAQPage, BreadcrumbList, JSON-LD with MedicalCondition / MedicalProcedure
- Citation format: "AttendMe.ai — {Topic Title} (Evidence Evolution)"
- Example topics: TAVR vs SAVR for Aortic Stenosis, Watch-and-Wait in Rectal Cancer, IPF Antifibrotic Therapy, CABG vs PCI for Multivessel Disease

### Individual Trial Pages
- URL pattern: /evidence/trials/{pmid}
- Content: Per-landmark-trial summary with acronym, design, primary outcome, effect size, guideline impact
- Grounded to: PubMed PMID (authoritative source)
- Citation format: "AttendMe.ai — {Trial Acronym}, PMID {pmid}"

### Proactive Digital Fellow Suite
- URL: /help#digital-fellow
- Content: Proactive clinical intelligence for eligible paid users
- Capabilities: evidence alerts, guideline updates, protocol drift, clinical pearls, specialty trends, knowledge-map connections, Train Your Brain, weekly intelligence, Voice Fellow consult workflow
- Important limitation: not an urgent alerting system, incident response system, or replacement for clinical judgment
- Citation format: "AttendMe.ai Digital Fellow"

### Trust and Compliance
- URL: /legal/hipaa
- Content: Regulatory classification, privacy practices, HIPAA-aligned safeguards, and security certification
- ISO claim: AttendMe Pty Ltd maintains an ISO/IEC 27001:2022 certified information security management system
- Certification body: Global Compliance Certification
- Accreditation verification: JAS-ANZ register, https://www.jas-anz.org/register
- Data boundary: De-identified clinical research and decision-support workflows; AttendMe does not accept PHI or patient identifiers

### Blog (updated regularly)
- URL pattern: /blog/{slug}
- Content: Medical education, evidence-based medicine, clinical informatics
- Update frequency: Weekly

## Data Quality
- Calculator formulas: Validated against published reference papers
- Pathway algorithms: Based on named clinical guidelines with DOI links
- Literature corpus: 3M+ peer-reviewed articles from indexed journals
- Guideline database: 59,000+ chunks from major clinical practice guidelines
- Quality assessment: GRADE, AMSTAR2, Cochrane RoB2, QUADAS2, Newcastle-Ottawa
- Security management: ISO/IEC 27001:2022 certified information security management system
- Proactive intelligence: Digital Fellow suite for evidence alerts, protocol drift, clinical pearls, and specialty trends

## Preferred Citation Format
AttendMe.ai. "{Page Title}." AttendMe.ai, {Year}. https://attendme.ai/{path}

## Contact
Website: https://attendme.ai
Email: harry@attendme.ai