The Use of Decision Analysis Tools for the Selection of Clinical Laboratory Tests: Developing Diagnostic and Forecasting Models Using Laboratory Evidence

  • Kim J
  • Van Cott E
  • Lewandrowski K
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The number and complexity of available laboratory tests continues to increase at a rapid pace. Staying current with accepted standards for laboratory testing for diagnosis, monitoring and prognosis is extremely challenging, particularly for nonspecialists who see a diverse patient population. Decision support tools to aid physicians in appropriate test selection and interpretation are widely available and will become increasingly important. The most effective and practical decision support tools are developed or selected locally at the institutional level and embedded in the regular workflow of the physician. Many of these tools can be incorporated into the electronic medical record system where they can be easily accessed by any physician while caring for their patients. Careful attention to the “Ten Commandments for effective clinical decision support,” described by Bates et al., will enhance the chances for success in the design and implementation of new decision support tools.

Cite

CITATION STYLE

APA

Kim, J. Y., Van Cott, E. M., & Lewandrowski, K. B. (2011). The Use of Decision Analysis Tools for the Selection of Clinical Laboratory Tests: Developing Diagnostic and Forecasting Models Using Laboratory Evidence. In Evidence Based Pathology and Laboratory Medicine (pp. 305–322). Springer New York. https://doi.org/10.1007/978-1-4419-1030-1_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free