Identifying, Analyzing, and Visualizing Diagnostic Paths for Patients with Nonspecific Abdominal Pain.

ABSTRACT: BACKGROUND:Diagnosis is complex, uncertain, and error-prone. Symptoms such as nonspecific abdominal pain are especially challenging. A diagnostic path consists of diagnostic steps taken from initial presentation until a diagnosis is obtained or the evaluation ends for other reasons. Analysis of diagnostic paths can reveal patterns associated with more timely and accurate diagnosis. Visual analytics can be used to enhance both analysis and comprehension of diagnostic paths. OBJECTIVE:This article applies process-mining methods to extract and visualize diagnostic paths from electronic health records (EHRs). METHODS:Patient features, actions taken (i.e., tests, referrals, etc.), and diagnoses obtained for 501 adult patients (half female, half ≥50 years of age) presenting with abdominal pain w

SUBMITTER: Rao G 

PROVIDER: S-EPMC6301880 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature