LAUSR

Every clinician is aware of the many uncertainties that exist in everyday clinical care. These contribute to variation and inequity in outcomes and pose dangers to patient wellbeing and safety. Evidence generation is still too slow, too expensive, too much left to chance, too ad hoc, and wholly inadequate. Modern technologies can drive faster, more efficient evidence generation and implementation of findings. However, professional and public buy-in are also needed for success; in short, a new conceptual framework aimed at reducing uncertainties effectively, efficiently, and incrementally in clinical practice is required. Currently, much-needed research to reduce practice uncertainties is often never done, or conducted in ways that are inefficient or lack impact. The consequence is poor patient care and abrogation of the cardinal duty of doctors to “first, do no harm.” Research is efficient if high quality, conducted rapidly, at reasonable cost, with minimal burden on investigators and participants. Research has impact if outcomes are incorporated into evidence syntheses, and robust conclusions are implemented into practice without delay. Here, I will discuss ways that build upon modern thinking and new technologies to improve the efficiency and impact of clinical research.