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Measurable prevention for companies

From a catalogue of measures to a measurable prevention system.

I help companies build workplace health, executive health, and biomarker literacy as focused pilots with a target group, measurement logic, and clear decisions.

Dr. Josef Scheiber

Dr. Josef Scheiber

Bioinformatician · Data Scientist · Founder

50+

publications

2,000+

citations

20+

years of experience

Harvard Medical SchoolNovartis / RocheTOP 100 Innovator

Does this sound familiar?

Many health initiatives show activity, but not yet a decision logic.

A useful pilot starts with a clear target group, a testable hypothesis, and responsibly selected measurement points.

01

Activities without priority

Individual measures exist, but there is no shared logic for selection, impact, and iteration.

02

Data without steering

Metrics or surveys exist, but they do not lead to a defensible next decision.

03

Pilot without a frame

An initiative should begin, but audience, success criteria, and boundaries are not yet precise.

Translating complex health data into a clear organizational decision

My perspective

Prevention becomes strong when the learning goal is clear before rollout.

Biomarkers, behavior data, and organizational context belong in one learning loop. This creates a pilot that is small enough to start and precise enough to evaluate.

01

Focus

Which target group, burden, or leadership question should be addressed?

02

Build measurement logic

Which data and success criteria are meaningful, responsible, and practical?

03

Decide the pilot

What does a 90-day start look like, and which signals determine what follows?

The outcome

Individual measures become a learning pilot design.

01

Target group

A precise starting situation instead of one program for everyone.

02

Measurement points

A few robust criteria for use, impact, and responsible steering.

03

90-day pilot

A realistic start with roles, learning goals, and a rollout decision.

Best entry point

Workplace health pilot: measurable prevention

Together we sharpen target group, prevention hypothesis, data logic, and pilot architecture before budget and organization move into broad rollout.

A pilot design with target group, measurement logic, success criteria, and rollout roadmap.

Scoping · concept · 90-day pilot · review · rollout decision

Discuss a pilot

Measurability with clear responsibility boundaries

Health data in an organizational context needs a sound model for roles, privacy, and voluntary participation. These boundaries are addressed in the pilot design.

The next useful step

Clarify the decision before adding more complexity.

Discuss a pilot
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