ABSTRACT
Clinical prediction rules can help clinicians make personalized and complex decisions at the point of care. They have the potential to improve patient care outcomes and reduce healthcare costs, but remain underutilized. There are a number of well-derived and validated clinical prediction rules. Few, however, have been studied by means of an impact analysis or successfully integrated into provider workflow. A heavily identified area of opportunity for integration is the electronic health record. There are, however, a number of barriers to adoption at both the infrastructure and organizational levels. Research efforts should focus on impact analysis and how to successfully implement existing, well-validated clinical prediction rules into daily practice. Recommendations include emphasis on a collaborative framework, using existing technologies, and utilization of usability and workflow integration methodology.
Subject(s)
Decision Support Techniques , Point-of-Care Systems , Biomedical Technology , Diffusion of Innovation , Early Diagnosis , Electronic Health Records , Evidence-Based Medicine , Humans , Organizational Culture , Practice Patterns, Physicians'ABSTRACT
The palliative medicine literature consistently documents that physicians are poorly prepared to help patients experience a "good death" and are often unaware of their ill patients' preferences for end-of-life care. The present study, enrolling 150 physicians, sought to improve their communication skills for end-of-life care. We found significant attitudinal changes and a greater degree of self-rated competence in delivering end-of-life care for those in the intervention group. This study used a novel approach to train physicians to be better equipped to conduct difficult goals of care conversations with patients and their families at end-of-life.
