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

Kaplan-Meier Approach01:24

Kaplan-Meier Approach

352
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
352
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.5K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.5K
Cancer Survival Analysis01:21

Cancer Survival Analysis

504
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
504

You might also read

Related Articles

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

Sort by
Same author

A Pregnant Person Requiring Medical Intensive Care Unit Management of Asthma.

NeoReviews·2026
Same author

Gestational Weight Gain and Pregnancy Outcomes After Semaglutide Exposure.

Obstetrics and gynecology·2026
Same author

Differential associations between menstrual blood loss scores and iron status in East Asian and Northern European individuals: findings from a cross-sectional analysis of the Iron Genes in East Asian and Northern European Adults Study (FeGenes) cohort.

The American journal of clinical nutrition·2026
Same author

A genetic association study of iron absorption in adults of East Asian or Northern European ancestry from the Iron Genes in East Asian and Northern European Adults Study (FeGenes).

The American journal of clinical nutrition·2026
Same author

Fetomaternal Hemorrhage in Pregnancy.

NeoReviews·2026
Same author

The Impact of Increased Medicaid Eligibility During Pregnancy on Medicaid Utilization and Gestational Age.

Health services research·2025

Related Experiment Video

Updated: Nov 9, 2025

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
11:27

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

7.0K

Improved Recognition of Maternal Deaths Using Modern Data Analytics.

Stefanie J Hollenbach1, Kathryn Drennan, Eva K Pressman

  • 1Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York.

Obstetrics and Gynecology
|April 8, 2021
PubMed
Summary
This summary is machine-generated.

A new data analytics approach significantly increased the identification of maternal deaths, especially those occurring postpartum. This method enhances the recognition of pregnancy-associated mortality by uncovering cases missed by standard surveillance.

More Related Videos

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.1K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.8K

Related Experiment Videos

Last Updated: Nov 9, 2025

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
11:27

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

7.0K
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.1K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.8K

Area of Science:

  • Medical Informatics
  • Public Health Surveillance
  • Reproductive Health

Background:

  • Maternal mortality surveillance relies on standard strategies that may miss cases.
  • Accurate ascertainment of maternal deaths is crucial for effective public health interventions.

Purpose of the Study:

  • To implement a data-fusion approach to improve the detection of maternal deaths.
  • To enhance the identification of pregnancy-associated mortality beyond standard surveillance methods.

Main Methods:

  • A retrospective cohort study utilized electronic health records from 2011-2018.
  • Maternal deaths were identified using standard queries and the TriNetX discovery tool, followed by chart review.
  • Pregnancy-associated mortality was compared between the discovery and hospital-identified cohorts.

Main Results:

  • The discovery tool identified 18 additional maternal deaths, a 78% increase in ascertainment.
  • A higher proportion of newly identified deaths occurred postpartum.
  • Cardiac causes and medical comorbidities were the primary drivers of newly ascertained mortalities.

Conclusions:

  • Modern data analytics can significantly improve the recognition of pregnancy-associated deaths.
  • The data-fusion approach offers a more comprehensive method for maternal mortality surveillance.
  • Enhanced identification aids in understanding the full scope of maternal mortality, including deaths related to early pregnancy loss.