Navigating the Systemic Conditions of a Digital Health Ecosystem in Alberta, Canada: Embedded Case Study.

Background: Digital health promises numerous value-creating outcomes. These include improved health, reduced costs, and the creation of lucrative markets, which, in turn, provide high-quality employment, productivity growth, and a climate that attracts investment. For this value creation and capture, the activities of a diverse set of stakeholders within a digital health ecosystem require coordination.

Task difficulty moderates the revelation effect.

Tasks that precede a recognition probe induce a more liberal response criterion than do probes without tasks-the "revelation effect." For example, participants are more likely to claim that a stimulus is familiar directly after solving an anagram, relative to a condition without an anagram. Revelation effect hypotheses disagree whether hard preceding tasks should produce a larger revelation effect than easy preceding tasks.