The Fall 2018 issue of Perspectives in Health Information Management features a first-person account of the need for formal mechanisms in place to deliver clinically relevant information to clinicians as well as a study developing and testing a health insurance literacy model.
Authors of the literature review, “Computable Phenotypes: Standardized Ways to Classify People Using Electronic Health Record Data,” explore the use of electronic health record data to classify people. The role of the computable phenotype is to provide a standard algorithm—with inclusion and exclusion criteria—so HIM professionals, database administrators, clinicians, and others can construct similar database queries that fit their own source databases. Computable phenotypes (CPs) are algorithms that identify a set of patients with a specific set of observable and measurable traits. The authors anticipate that computable phenotypes will soon be part of the tool kit that all HIM professionals use for coding, reporting, managing, and sharing clinical information. Read the full issue here. Learn more about submission guidelines here.
Perspectives in Health Information Management is a scholarly, peer-reviewed journal, referred to by professors, professionals, public officials, industry leaders, and policy-makers. Since 2004, Perspectives has been one of the most credible and respected journals of the HIM industry, and is referenced in notable indices such as PubMed Central (PMC), the Cumulative Index to Nursing and Allied Health (CINAHL), and Google Scholar. Join Perspectives in celebrating more than 10 years of scholarly publishing that advances health information management practice.