Data interpretation in laboratory medicine

Christopher A. Tormey; Eric Gehrie; Huy P. Pham; R. Pat Bucy; Robin G. Lorenz; X. Long Zheng; Jeanne E. Hendrickson

doi:10.1016/B978-0-12-803999-1.00021-3

Data interpretation in laboratory medicine

Christopher A. Tormey, Eric Gehrie, Huy P. Pham, R. Pat Bucy, Robin G. Lorenz, X. Long Zheng, Jeanne E. Hendrickson

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The interpretation and application of clinical and laboratory data is an essential component of the job of a laboratory medicine practitioner or Transfusion Medicine director. Such data may be generated from assays within one's own laboratory or may arise in the form of published studies. Ultimately, such data will often be incorporated into routine practice and therefore, a clear understanding of data interpretation is critical. This chapter will provide a review of common scenarios faced by laboratorians and physicians where data interpretation is at the forefront of the clinical challenge.

Original language	English (US)
Title of host publication	Transfusion Medicine, Apheresis, and Hemostasis
Subtitle of host publication	Review Questions and Case Studies
Publisher	Elsevier
Pages	489-510
Number of pages	22
ISBN (Electronic)	9780128039991
ISBN (Print)	9780128040300
DOIs	https://doi.org/10.1016/B978-0-12-803999-1.00021-3
State	Published - Sep 20 2017

Keywords

Data analysis
Data interpretation
Laboratory data
Statistical analysis
Transfusion data

ASJC Scopus subject areas

Medicine (miscellaneous)

Access to Document

10.1016/B978-0-12-803999-1.00021-3

Cite this

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AU - Tormey, Christopher A.

AU - Gehrie, Eric

AU - Pham, Huy P.

AU - Bucy, R. Pat

AU - Lorenz, Robin G.

AU - Zheng, X. Long

AU - Hendrickson, Jeanne E.

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AB - The interpretation and application of clinical and laboratory data is an essential component of the job of a laboratory medicine practitioner or Transfusion Medicine director. Such data may be generated from assays within one's own laboratory or may arise in the form of published studies. Ultimately, such data will often be incorporated into routine practice and therefore, a clear understanding of data interpretation is critical. This chapter will provide a review of common scenarios faced by laboratorians and physicians where data interpretation is at the forefront of the clinical challenge.

KW - Data analysis

KW - Data interpretation

KW - Laboratory data

KW - Statistical analysis

KW - Transfusion data

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BT - Transfusion Medicine, Apheresis, and Hemostasis

PB - Elsevier

ER -

Data interpretation in laboratory medicine

Abstract

Keywords

ASJC Scopus subject areas

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