title: Patient data algorithms.
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.
authors: ARUP Laboratories, University of Utah, 500 Chipeta Way, Mail Code 115, Salt Lake City, UT 84108-1221, USA. joely.a.straseski@aruplab.com
authors: Joely A
authors: JA
authors: Straseski
authors: Frederick G
authors: FG
authors: Strathmann
mesh_terms: D000465:Algorithms; D006801:Humans; D007753:Laboratories / Q000592:standards*; D013677:Medical Laboratory Science / Q000592:standards*; D008499:Medical Records; D011785:Quality Assurance, Health Care; D011786:Quality Control; D012308:Risk Management