Literature DB >> 18251572

Patient safety and error reduction in surgical pathology.

Raouf E Nakhleh1.   

Abstract

CONTEXT: National patient safety goals and error reduction efforts should be addressed by each surgical pathology laboratory.
OBJECTIVE: To review issues relevant to patient safety and error reduction in surgical pathology in the context of continuous quality improvement. DATA SOURCES: The literature is reviewed.
CONCLUSIONS: Patient safety goals can and should be addressed within the context of a quality improvement plan. Multiple factors that contribute to errors in surgical pathology are discussed. The current literature defines the extent of these problems within specific segments of the test cycle (preanalytic, analytic, and postanalytic). Potential solutions are presented that may reduce or avoid errors. In addition, general principles are outlined that enhance the laboratory's ability to successfully and continuously address patient safety and error reduction.

Entities:  

Mesh:

Year:  2008        PMID: 18251572     DOI: 10.5858/2008-132-181-PSAERI

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  5 in total

1.  Canada's pathology.

Authors:  Kathy Chorneyko; Jagdish Butany; Paul C Hébert; Rajendra Kale; Matthew B Stanbrook; Barbara Sibbald; Ken Flegel; Noni MacDonald
Journal:  CMAJ       Date:  2008-06-03       Impact factor: 8.262

2.  Recent advances in standards for Collaborative Digital Anatomic Pathology.

Authors:  Christel Daniel; François Macary; Marcial García Rojo; Jacques Klossa; Arvydas Laurinavičius; Bruce A Beckwith; Vincenzo Della Mea
Journal:  Diagn Pathol       Date:  2011-03-30       Impact factor: 2.644

3.  Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction.

Authors:  Kevin Faust; Quin Xie; Dominick Han; Kartikay Goyle; Zoya Volynskaya; Ugljesa Djuric; Phedias Diamandis
Journal:  BMC Bioinformatics       Date:  2018-05-16       Impact factor: 3.169

4.  Computational Algorithms that Effectively Reduce Report Defects in Surgical Pathology.

Authors:  Jay J Ye; Michael R Tan
Journal:  J Pathol Inform       Date:  2019-07-01

5.  Informatics applied to cytology.

Authors:  Liron Pantanowitz; Maryanne Hornish; Robert A Goulart
Journal:  Cytojournal       Date:  2008-12-29       Impact factor: 2.091

  5 in total

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