Approaches that promote clinical reasoning in clinical and simulation-based practice settings

Background: Clinical reasoning is described as a reflective process that enables health care practitioners to collect data, solve problems, and make decisions judgments enhance patient outcomes safety 1. To avoid practice mistakes, healthcare professionals should possess or develop effective clinical skills. skills, enough exposure various experiences required. Practicing developing skills can be achieved in both simulated settings 2. Using structured models could development 3. This review aims explore the current models. Methods: A scoping was undertaken answer question; what are best available settings? The following sources were searched: Medline; Scopus; Education Research Complete, Google Scholar identify relevant recent primary research conducted on this topic published 2000 onwards. search included [MeSH] topics of; “Clinical reasoning” Reasoning Models”. inclusion criteria studies use of settings. Two independent researchers agreed identified papers for full-text review. followed guidelines Joanne Briggs institute. Results: There valid used which are; TANNER, DML, Model (CRM), Outcome-Present State Test (OPT), Self-Regulated Learning (SRL) model (Table 1). However, validity these needs tested considering different specialties, scope practice, complexity, seniority levels. Conclusion: Considering importance practices, using process, however, despite availability models, additional validation still