Literature DB >> 28447421

Clinical decision support for hematology laboratory test utilization.

R Jackups1, J J Szymanski1, S P Persaud1.   

Abstract

Clinical decision support (CDS) is the use of information and communication technologies to improve clinical decision making and patient care. CDS applications have been used in many aspects of health care, including medication ordering and diagnostic prediction algorithms. As economic and regulatory pressures place a strain on laboratory resources, the potential of CDS to improve utilization of laboratory testing has also begun to be realized. Hematology and coagulation laboratories stand to gain tremendously from the implementation of CDS interventions, given their mixture of high-volume, low-cost tests (eg CBC, PT, aPTT) and tests that carry a high potential of being misused or misinterpreted (eg lupus anticoagulant, erythrocyte sedimentation rate, heparin-induced thrombocytopenia testing). This brief review will define the key terms in the field of clinical decision support, provide instructive examples of CDS interventions to improve utilization of hematology and coagulation testing, introduce methods to implement these interventions effectively, and discuss metrics by which the success of these interventions can be evaluated.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  computers; education; healthcare costs; laboratory practice; laboratory utilization

Mesh:

Year:  2017        PMID: 28447421     DOI: 10.1111/ijlh.12679

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  3 in total

Review 1.  The Lancet Commission on diagnostics: transforming access to diagnostics.

Authors:  Kenneth A Fleming; Susan Horton; Michael L Wilson; Rifat Atun; Kristen DeStigter; John Flanigan; Shahin Sayed; Pierrick Adam; Bertha Aguilar; Savvas Andronikou; Catharina Boehme; William Cherniak; Annie Ny Cheung; Bernice Dahn; Lluis Donoso-Bach; Tania Douglas; Patricia Garcia; Sarwat Hussain; Hari S Iyer; Mikashmi Kohli; Alain B Labrique; Lai-Meng Looi; John G Meara; John Nkengasong; Madhukar Pai; Kara-Lee Pool; Kaushik Ramaiya; Lee Schroeder; Devanshi Shah; Richard Sullivan; Bien-Soo Tan; Kamini Walia
Journal:  Lancet       Date:  2021-10-06       Impact factor: 79.321

2.  Establishing a reference range for thromboelastograph parameters in the neonatal period.

Authors:  Qin Liu; Chunfen Xu; Xin Chen; Jia Wang; Zhunhui Ke; Hongbing Hu
Journal:  Int J Lab Hematol       Date:  2019-05-07       Impact factor: 2.877

3.  Establishing a reference range for thromboelastography maximum amplitude in patients administrating with antiplatelet drugs.

Authors:  Wei Shen; Jing-Yi Zhou; Yi Gu; Wen-Yan Shen; Min Li
Journal:  J Clin Lab Anal       Date:  2019-12-06       Impact factor: 2.352

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.