This application guides the user through a series of prompts in a boxed-question format, that like any diagnostic algorithm in paper form can be answered from basic findings obtained from history and physical exam findings to formulate "a next best step" approach to assist in formulating a differential diagnosis and treatment plan based on the chief complaint of abdominal pain. The differential is refined further based on initial findings and lead down one of several pathways addressing the next most appropriate labs/imaging/ diagnositic testing
in order to arrive at a correct diagnosis and treatment plan or narrow the initial differential considerably.
As medical education software developers we feel this application will expand the arsenal of tools available to clinicians by providing an application that is both interactive and comprehensive. It was also structured with the student doctor in mind in order to facilitate practicing diagnostic skills through structured repetition with a standardized, evidence based, algorithmic approach of diagnosis and treatment. Lastly, we make the above assumption, based on our own albeit anecdotal experiences
that this program is far less cumbersome and costly to use compared to sifting through similar app-based electronic textbooks or massive online databases when faced with limited time while on the wards.
Tags: abdominal pain , aern abdominal pain diagnostic imaging algorithms , algorithm diagnostic approach to abdominal pain , algorithm abdominal pain , approach to abdominal pain algorithm , abdominal pain algorithms , algorithm in abdominal pain , algorithmic approach to abdominal pain , algorithm for abdominal pain
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