means end analysis
- related: Biostats
- tags: #literature #pulmonary
Means-end analysis (MEA) is a problem-solving method of thinking about organizational planning that commonly uses artificial intelligence (AI) to help reach the ultimate goal of a program or company (choice B is incorrect). Although attractive for the future of science in patient care, it currently focuses more on the organizational planning that helps achieve the end-goal rather than the prevention of adverse events. For example, the MEA method may focus on the ultimate goal of having full compliance with vaccination guidelines; however, MEA would not be able to predict which error or complication may occur at any point in time. Trial and error is a fundamental method of problem-solving, characterized by repeated and varied attempts that are continued until success or cessation of an activity; and this method is not recommended to address an initial sentinel event (choice D is incorrect). For instance, continuing to provide pneumococcal vaccination to patients receiving active anticoagulation until no adverse events occur will not likely solve the problem and may even lead to more frequent complications.