Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

73
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
73
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

1.0K
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
1.0K
Pharmacogenetics of Drug Metabolism: Overview01:27

Pharmacogenetics of Drug Metabolism: Overview

90
Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
90
Pharmacogenetics and Pharmacogenomics: Overview01:29

Pharmacogenetics and Pharmacogenomics: Overview

127
Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
127

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development and Implementation of an AI System for Generating Clinical Urine Drug Test Sign-Outs.

JAMA network open·2026
Same author

3D pathology-guided microdissection.

Nature methods·2026
Same author

The first-in-human ENCIT01 trial comparing second- versus third-generation L1CAM-specific CAR T cells in patients with primary refractory or relapsed neuroblastoma.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Assessing the Effects of a 3D Pathology Tissue-Processing Workflow on Downstream Molecular Analyses.

Laboratory investigation; a journal of technical methods and pathology·2026
Same author

Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps.

Cancer informatics·2026
Same author

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report.

Pediatric blood & cancer·2026
Same journal

Invasive urothelial carcinoma in association with surface low-grade papillary urothelial carcinoma: clinical and pathologic insights from a rare entity.

American journal of clinical pathology·2026
Same journal

CEACAM1 expression by immunohistochemistry in B-cell lymphomas and plasma cell myeloma.

American journal of clinical pathology·2026
Same journal

Comprehensive multicriteria life cycle assessment of biopsy processing in a surgical pathology department.

American journal of clinical pathology·2026
Same journal

Prognostic significance of Myb protein and its downstream target genes in lacrimal gland adenoid cystic carcinoma.

American journal of clinical pathology·2026
Same journal

Mismatch repair protein "nonclassic expression loss" pattern in colorectal cancer: an important staining pattern that is not well understood.

American journal of clinical pathology·2026
Same journal

Musculoskeletal pain in medical laboratory personnel: a cross-sectional study.

American journal of clinical pathology·2026
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
09:30

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

3.6K

Preventing Genetic Testing Order Errors With a Laboratory Utilization Management Program.

Patrick C Mathias1, Jessie H Conta2, Eric Q Konnick1

  • 1From the Department of Laboratory Medicine, University of Washington, Seattle;

American Journal of Clinical Pathology
|July 31, 2016
PubMed
Summary
This summary is machine-generated.

Clinicians without genetics expertise order genetic tests with higher error rates. A laboratory utilization management program is crucial for preventing these errors from impacting patient care.

Keywords:
Genetic testingOrder errorsUtilization management

More Related Videos

Digital Polymerase Chain Reaction Assay for the Genetic Variation in a Sporadic Familial Adenomatous Polyposis Patient Using the Chip-in-a-tube Format
05:58

Digital Polymerase Chain Reaction Assay for the Genetic Variation in a Sporadic Familial Adenomatous Polyposis Patient Using the Chip-in-a-tube Format

Published on: August 20, 2018

11.5K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K

Related Experiment Videos

Last Updated: Mar 17, 2026

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
09:30

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

3.6K
Digital Polymerase Chain Reaction Assay for the Genetic Variation in a Sporadic Familial Adenomatous Polyposis Patient Using the Chip-in-a-tube Format
05:58

Digital Polymerase Chain Reaction Assay for the Genetic Variation in a Sporadic Familial Adenomatous Polyposis Patient Using the Chip-in-a-tube Format

Published on: August 20, 2018

11.5K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K

Area of Science:

  • Clinical Genetics
  • Laboratory Medicine
  • Healthcare Management

Background:

  • Genetic testing is increasingly utilized across various medical specialties.
  • Accurate ordering of genetic tests is essential for effective diagnosis and treatment.
  • Variations in ordering practices may lead to suboptimal utilization and potential errors.

Purpose of the Study:

  • To analyze and compare genetic test order error rates among different medical specialties.
  • To evaluate the impact of healthcare setting (inpatient vs. outpatient) on genetic test ordering.
  • To identify factors contributing to modifications and cancellations of genetic test orders.

Main Methods:

  • Retrospective analysis of a 2.5-year utilization management database.
  • Inclusion of nearly 1,400 genetic test orders with detailed information.
  • Categorization of order modifications, cancellations, and error rates by multiple reviewers.

Main Results:

  • Nongenetic providers had a three-fold higher cancellation rate compared to geneticists, with similar abnormal result rates.
  • Inpatient and outpatient orders showed comparable approval and abnormal result rates.
  • Order error rates were approximately 8% for genetics-recommended inpatient tests and around 5% for tests ordered by nongeneticists.

Conclusions:

  • Clinicians lacking genetics specialty training exhibit significantly higher genetic test order error rates.
  • Laboratory utilization management programs effectively mitigate genetic test ordering errors, preventing diagnostic inaccuracies.