Use real-world health data to build evidence that matters!

Data Pilot 2.0 is a program for teams that want to test and validate health innovation ideas using real-world health data.

You will work on a real challenge proposed by industry, public sector partners and startups to deliver decision-ready evidence, something that can be used in reimbursement, investment, clinical decision-making or technology validation.

This program is for teams that are ready to prove impact with data.

Data Pilot 2.0 is a challenge-based program that helps teams use Lithuania’s national health data assets (the national data lake) to generate real-world evidence (RWE) and solve real clinical and system-level questions.

Why Is This Program Unique?

Health data is available in many countries, but the real bottleneck isn’t access – it’s the ability to turn data into credible evidence and decision-ready outputs.

Many teams get stuck between prototype and real-world implementation. At the same time, pharma, biotech, and public institutions face urgent questions that require strong analytics and proof.

Data Pilot 2.0 bridges this gap by creating a practical sandbox where teams can:

work with real challenges provided by partners,
use secondary health data responsibly and meaningfully,
deliver evidence and validate a business model around it.

What You Will Achieve

The core goal of Data Pilot 2.0 is to increase the use of secondary health data for health innovations in the life sciences sector.

What success looks like:

Challenge owners receive an evidence-based answer to their question (not assumptions).
Teams deliver a real analytics output and validate a new service / business model with investment potential.

Program Structure

Data Pilot 2.0 does not follow a fixed weekly schedule. Instead, the program runs through clear milestones with ad hoc working meetings planned around each team’s challenge and progress.

What to expect:

Challenge alignment & onboarding (scope, roles, working plan).
Evidence protocol preparation (study design, methodology, feasibility).
Data access & processing phase (dataset setup, variable mapping, coordination).
Analysis & evidence generation (results, interpretation, decision-ready report).
Optional trainings / expert consultations (organized based on team needs).
Final pitches (challenge outcome + scalable business model / service validation).
Teams meet regularly with the program team and challenge owners to ensure progress, quality, and delivery.

Who can apply?

You can apply as:
an individual
a small team
an early-stage startup

Team size: 1–5 people

Recommended team skills (as a group):
health or biomedical research understanding
epidemiology / outcomes research mindset (strong advantage)
data analytics and statistics
project management

If you are not from Lithuania — that’s fine. This program is open to international teams or individuals. Innovation Agency Lithuania will support collaboration with Lithuanian partners.

Selection Process (Multi-stage)

Selection to Data Pilot 2.0 is conducted in several steps. Applicants must meet the participant’s profile requirements and complete a short qualification task as a confirmation of readiness to join the program.

The selection includes:

Step 1: Eligibility check (team composition and fit with the program scope)

Step: 2 (with selected candidates): Short screening interview (motivation, capacity, and challenge relevance) or/and

Qualification task (mandatory) — a brief assignment to demonstrate your ability to work with the challenge and translate it into an evidence-driven approach

Step 3: Final selection by the advisory board together with challenge owners

The qualification task is not designed to test “perfect answers” — it confirms that your team can work with the topic, structure the problem, and deliver within the program format.

Timeline

Team selection: Mar 2026
Training & preparation: Mar-Apr 2026
Protocol development: Apr-May 2026
Data access phase: Jun–Oct 2026
Data analysis & evidence report: Nov 2026 – Mar 2027
Final presentations & review: Apr 2027

Challenges

Data Pilot 2.0 is challenge-based. Selected teams will choose and work on one out of 6 real-world challenges provided by industry and public-sector partners.

Applicants will be able to select their preferred challenge during the selection and onboarding phase.

Learn more about the challenges here: https://online.flippingbook.com/view/1014169141/

Project Partners

State Data Agency , Novartis Baltics , State Food and Veterinary Service , Muuza , Vilimed

Communication & Dissemination Partners

EIT Health , Future Biomedicine Foundation

Register HERE

Deadline for Applications: 2026-03-31