Healthtech · Health Data & Interoperability · 50–200 · Europe #b030_17

Context

We are a health data science firm producing real-world evidence, outcome models and simulated control groups for pharmaceutical companies and cancer research centres.

Industry

Healthtech · Health Data & Interoperability

Size

50–200 employees

Region

Europe

Tools budget

$1K–5K per month

Needs

Data governance & catalog. We analyse real-world patient data from many sources for drug makers and must track provenance and permitted use per dataset.

Today: project-by-project dataset documentation by analysts and epidemiologists for regulatory submissions · Urgency: this year

LLM evaluation & testing. Our explainable models feed regulatory submissions, so validation of model outputs must be documented and reproducible.

Today: statistical validation of interpretable models and peer-reviewed publication rather than a formal evaluation harness · Urgency: this year

Privacy & data protection (GDPR/HIPAA). Handling pseudonymised health records for clients means continuous privacy impact assessments we want to streamline.

Today: inferred only: contractual and pseudonymisation practice per client study · Urgency: later

Who decides

head of data · team trial

Expects from suppliers

Reproducibility features suitable for regulator review; Secure handling of pseudonymised datasets; Pricing compatible with project-based work

Not a fit

Black-box modelling platforms; Consumer health data brokers

Stack

data warehouse: cloud, cloud: AWS-class hyperscaler, LLM APIs in production

Buying triggers

regulatory change, AI adoption push