digital-health-study-planning

To create a digital health study brief, define your objective, target population, study type, and duration. The brief then structures enrollment, consent, data collection, assessment schedules, and outcome measures into an exportable document.

A structured study planning brief includes the objective, population, study type, duration, milestones, enrollment and consent plan, data collection matrix, assessment schedule, outcome measures, and risk considerations.

Yes, you can plan observational, interventional, feasibility, or survey-based digital health studies. The framework adapts to define specific enrollment, data collection, and outcome requirements for each study type.

Yes, the framework supports defining inclusion and exclusion criteria, recruitment channels, screening steps, consent requirements, and withdrawal processes to structure your enrollment and consent workstreams effectively.

You schedule data collection by mapping data types, sources, and frequency using the assessment scheduling templates. Outcome measures are defined within the data collection matrix to align with study milestones.

Yes, the exportable study planning brief is designed for IRB planning and project scoping. It consolidates operational constraints, risk considerations, and assessment schedules into a structured, reusable format.