The skill of a clinician is critical to positive patient outcomes. Several recent studies have demonstrated that clinicians' skill ratings were significantly correlated with clinical outcomes after treatment. Another factor that propels the need for simulation-based clinical skills training is the growing problem of medical errors, now the third leading cause of death in the US. It is imperative, therefore, that our clinical workforce be effectively and efficiently trained. In view of this, there is a need for advanced technology-enabled tools to create standardized, objective and structured training. This tangible need, combined with burgeoning medical technologies like surgical robots and smart operating rooms, has fueled the field of clinical skills assessment using sensors, devices and simulators.
The goal of this special issue is to present cutting-edge research in the field of clinical skill assessment while also highlighting specific opportunities and challenges for the future.
The scope of this special issue includes, but is not limited to:Important Dates
Manuscript Due: August 1, 2019 [Extended Deadline]
First Round of Reviews: September 15, 2019
Revision Due: October 15, 2019
Manuscript Decisions: November 15, 2019
Publication Date: January 15, 2020
Guest Editor:
Joseph Singapogu, Clemson University, USA