Can you build an AI that turns raw claims data into clear, visual treatment paths, revealing how patients actually move through the healthcare system?
Problem Claims data hides valuable insights: sequences of consultations, consultation dependencies, diagnostics, therapies, reha, in- and outpatient services, that make up patient treatment journeys. These patterns are rarely mapped at scale, which means missed chances to understand patient flow, regional differences, and cost drivers. An AI could extract and visualise these paths to support consultation dependencies, treatment side effects, planning, and policy.
Objective
- Extract treatment sequences from anonymised claims datasets
- Detect common and rare journey patterns across patient groups, detect dependencies and anomalies
- Visualise journeys to highlight differences by demographic and /or disease type…
Support for Hackers
- Anonymised claims datasets, coding catalogues (TARMED, DRG, pharma tariffs)
Technical Preferences
- none
Why hack? Because you can turn hidden data into visible stories, helping stakeholders understand treatment and care patterns, visualize treatment dependencies and uncover opportunities for system improvements.
About the Challenge Partner
About 1.7 million customers, around 100 agencies, more than 3000 employees – and one of Switzerland's leading health and property insurers. Yes, we're pretty big. And that's a good thing. Because size gives us real opportunities to make a difference. We've got big plans for the future – perhaps with you on board?
Do you enjoy juggling ideas and data? Do you get excited about innovative data solutions or optimising digital processes using artificial intelligence? Then you'll find your place with us in the diverse world of IT – with our headquarters in Lucerne.
Your future with us: Our innovative strength thrives on the commitment of talented people from all kinds of professional backgrounds. Here, you can contribute your ideas and actively work on projects that support our customers' health. You're looking for a meaningful role and a workplace built on mutual respect?
We look forward to meeting you!