Sykepleien News Aggregator
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Sykepleien News Aggregator AI

People
Drupal Frontend Engineer

Client

Sykepleien / Norwegian Nurses Organisation (Norsk Sykepleierforbund)
Healthcare, media and professional press

Assignment

Development of an AI-powered news aggregation tool that automatically fetches, analyses and structures healthcare news from 28 Norwegian hospital and health institution websites.

Preview of Sykepleien News Aggregator Item

Background

28 medical resources, One dashboard, Zero manual effort.

Sykepleien is Norway's leading professional journal for nurses. Their editorial team actively monitors news from across the Norwegian healthcare sector – from university hospitals and regional health authorities to specialist institutions. Keeping track of nearly 30 different websites required daily manual review. Time-consuming, error-prone, and leaving the newsroom unable to spot developments early.

Sykepleien approached Ramsalt with a clear brief: automate the monitoring, structure the output, and deliver immediate editorial value.

The Solution

A bespoke AI-powered news dashboard

Ramsalt developed the Sykepleien News Aggregator, combining modern web technology with AI-based content extraction. The tool automatically crawls as of writing up to 28 different configured healthcare sources, fetches their HTML content, and uses AI to identify and structure articles with title, date, summary and source link.

Built on Cloudflare Workers for low latency and minimal infrastructure costs. Firecrawl AI API handles sites that resist traditional crawling, with a quota system tracking usage at all times.

Preview of Sykepleien News Aggregator
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RAMSALT Responsibilities

End-to-end ownership, from concept to production

  • Technical architecture and platform selection
  • Development of the crawling and extraction logic
  • Design and implementation of the dashboard
  • Integration with AI services for content analysis
  • Ongoing monitoring and maintenance of source coverage
Sykepleien News Aggregator

Key Features

Built for editorial speed

AI-Powered Extraction

Analyses raw HTML to identify and structure news articles automatically. The editorial team can customise the AI prompt to adjust what is captured and how it is formatted.

Source Coverage Indicator

A visual health check shows which of the predefined list of sources are active.

Dormant Source Alerts

Sources without updates in 14 days are automatically flagged, giving the team immediate visibility over URL changes, downtime or publishing gaps.

Flexible Source Selector

Run extraction across all sources at once or filter to a single institution

Dual View: Cards & JSON

Results display as article cards for quick editorial review, or as raw JSON for integration and export to other systems.

Technology

Cloudflare Workers · AI extraction · Firecrawl API

A serverless architecture built for reliability and low operational cost. The system is designed to be easy to maintain, cost-effective to operate, and simple to extend with new sources as needs grow.

Other works

News Site
News Site