Evidence-based management and leadership (EBML) aspects are based on clinical practices and decision-making processes. Walshe and Rundall (2001) illustrate that healthcare professionals are adopting EBML from scientific studies in their clinical investigations. Besides, other professionals in other fields, such as education, criminal justice systems, and social care are also integrating the ideals of EBML within their practices. Although the application of EBML is based on analyzing scientific outcomes from medical researches and interventions, it is easier to apply such models for clinical leaders compared to non-clinical administrators.
Non-clinical administrators have a challenge applying EBML model compared to clinical leaders. Walshe and Rundall (2001) clarify that EBML is rooted in practice due to variation in practice patterns for clinicians, poor therapy approaches, and the application of inappropriate technology that leads to failed expectations. Cragg and Spurgeon (2016) aver that healthcare professionals are expected to exhibit leadership traits that are supportive in managing healthcare facilities. Hence, qualities, attributes, and skills are important in applying various leadership models such as transactional and transformational leadership traits in a clinical setup. Non-clinical administrators experience challenges when applying EBML since they have limited exposure in clinical investigations and the applications of scientific medical findings in the healthcare sector. Cragg and Spurgeon (2016) explain that effective leadership qualities observe the cultures and objectives within a professional setup. It is evident that non-clinical leaders with effective training and leadership qualities can implement EBML. However, the absence of skilled training in medicine and professional clinical exposure inhibits their capability to resolve technical and medical issues, and hence, limits the application of EBML models. Accordingly, institutions that seek to implement EBML should target professionals with clinical exposure to understand the variations in scientific practices and apply effective resolution mechanisms.
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