Patient data algorithms

Clin Lab Med. 2013 Mar;33(1):147-60. doi: 10.1016/j.cll.2012.11.009. Epub 2012 Dec 20.

Abstract

As the clinical laboratory attempts to manage and mitigate risk, individual patient results can be a useful complement to routine quality-control materials. Patient results can be used to detect error or identify potential testing complications at all phases of the total testing process. Patient-specific data algorithms include delta checks, tests to verify specimen or tube type, absurdity checks, and result-based reporting. Delta checks are highlighted because they can uniquely point to issues all along the testing cycle, from preanalytical to postanalytical concerns. When used properly, patient results can work to minimize risk and increase the quality of individual patient results.

MeSH terms

  • Algorithms*
  • Humans
  • Laboratories / standards*
  • Medical Laboratory Science / standards*
  • Medical Records
  • Quality Assurance, Health Care*
  • Quality Control*
  • Risk Management