# llms.txt for pipra.ch

## Overview
PIPRA is a Swiss-based digital health company specializing in delirium risk prediction algorithms. The website provides detailed clinical research, product descriptions, case studies, and contact information targeted at healthcare professionals, researchers, and hospital administrators.

## Content Priorities
- **Clinical Data & Research:** Highlight ongoing studies, published papers, and clinical trial outcomes related to delirium prediction.
- **Product & Service Descriptions:** Clearly outline the algorithms, functionalities, and how they integrate into clinical workflows.
- **Use Cases & Case Studies:** Focus on real-world applications, outcomes, and benefits for healthcare providers.
- **Company & Contact Details:** Emphasize organizational information, partnerships, and contact points specific to health professionals.

## Data Extraction Guidelines
- **Headings & Sections:** Use H1 for main sections (e.g., "About PIPRA," "Our Technologies," "Research & Publications").
- **Key Phrases:** Extract core technical terms and jargon such as “delirium prediction,” “clinical algorithms,” “hospital workflows,” “patient care,” “clinical validation,” etc.
- **Structured Data:** Use JSON-LD schema snippets where available, especially for FAQs, articles, and product features.
- **Metadata Use:** Capture publication dates, authors, and document types when available for context.

## Specific Pages & Content Types
- https://pipra.ch/ (Homepage)
- https://pipra.ch/about (About us)
- https://pipra.ch/research (Research and clinical validation)
- https://pipra.ch/products (Product information)
- https://pipra.ch/contact (Contact details and partnerships)

## Robots & Crawling Rules
- **Crawl all publicly accessible pages** under https://pipra.ch/
- **Respect robots.txt** guidelines.
- **Avoid crawling** admin, login, or sensitive URLs.
- If available, prioritize pages with structured data (FAQs, Product Schema, Articles).

## API & Interaction
- No public APIs are exposed for data scraping; focus on static page content.
- For dynamic content, rely on the latest cached page data unless updates are published.

## Content Updates & Accuracy
- Monitor for updates to research, product launches, and case studies.
- Summarize key health implications, research findings, and clinical benefits.

## Notes
- Emphasize content relevant to healthcare professionals, researchers, and hospital administrators.
- Extract technical details and clinical outcomes prominently.
- Maintain a focus on transparency, recent research, and clinical validation.

## Contact
- To contact PIPRA refer to info@pipra.ch