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

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Purpose of Health Records I01:11

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Preventive Healthcare Services01:30

Preventive Healthcare Services

Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:

You might also read

Related Articles

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

Sort by
Same author

Examining inclusive research practices to engage communities: a qualitative inquiry.

BMC public health·2026
Same author

Artificial intelligence in clinical trial participant recruitment and retention: A scoping review and meta-analysis.

Journal of clinical and translational science·2026
Same author

Cerclage for singleton pregnancies with an extremely short cervix (≤10 mm) and no history of spontaneous preterm birth: A multisite observational study.

Pregnancy (Hoboken, N.J.)·2026
Same author

"Actionable" risk for preterm birth: patterns and prediction in California singleton births 2016-2020.

BMC pregnancy and childbirth·2026
Same author

Strategies for mitigating artificial intelligence bias in healthcare: a systematic review.

JAMIA open·2026
Same author

Cardiovascular Disease Risk and Noncardiovascular Chronic Disease Burden by Housing Status.

Journal of the American Heart Association·2026
Same journal

Special Communications in JAMA Health Forum.

JAMA health forum·2026
Same journal

Exposure to Hurricane-Related Flooding and Outcomes of Home Health Care Patients.

JAMA health forum·2026
Same journal

GLP-1 Prescriptions for Weight Loss by Differences in Insurance Plan Coverage.

JAMA health forum·2026
Same journal

Geographic Availability and Use of Medications for Opioid Use Disorder Among Medicaid Enrollees.

JAMA health forum·2026
Same journal

Scoring Health Reform-Congress Needs a Wider Aperture and Longer Exposure.

JAMA health forum·2026
Same journal

Making Policy When the Perfect Is Impossible.

JAMA health forum·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2026

Amplitude-Integrated EEG in Infants at Risk of Hypoxic-Ischemic Encephalopathy: A Feasibility Study in Road and Air Transport in Western Australia
05:15

Amplitude-Integrated EEG in Infants at Risk of Hypoxic-Ischemic Encephalopathy: A Feasibility Study in Road and Air Transport in Western Australia

Published on: June 21, 2024

Defining Prenatal Care Surveillance Metrics Using Electronic Health Record Data.

Sarah Conderino1, Renata E Howland1, Lorna E Thorpe1

  • 1Department of Population Health, New York University Grossman School of Medicine, New York.

JAMA Health Forum
|June 5, 2026
PubMed
Summary
This summary is machine-generated.

Electronic health record (EHR) network data can reliably track prenatal care adequacy, improving timely surveillance for public health initiatives. This study shows EHR data offers a valuable tool for monitoring and enhancing prenatal care access and use.

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Related Experiment Videos

Last Updated: Jun 6, 2026

Amplitude-Integrated EEG in Infants at Risk of Hypoxic-Ischemic Encephalopathy: A Feasibility Study in Road and Air Transport in Western Australia
05:15

Amplitude-Integrated EEG in Infants at Risk of Hypoxic-Ischemic Encephalopathy: A Feasibility Study in Road and Air Transport in Western Australia

Published on: June 21, 2024

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

  • Public Health Surveillance
  • Health Informatics
  • Maternal Health

Background:

  • Current US pregnancy surveillance faces challenges in providing timely and accurate prenatal care use data.
  • Electronic health record (EHR) networks offer potential for near real-time, clinically documented data to enhance surveillance systems.

Purpose of the Study:

  • To assess the validity and reliability of EHR network data for defining surveillance metrics of prenatal care use.
  • To determine if EHR data can be used to monitor early and adequate prenatal care.

Main Methods:

  • A longitudinal cohort study analyzed data from US adults receiving prenatal care within the Epic Cosmos EHR network (January 2023 - December 2024).
  • Prenatal care use metrics (early initiation, adequacy) were calculated and weighted to match national demographic distributions.
  • EHR-based metrics were validated against National Center for Health Statistics (NCHS) data using a two one-sided test of equivalence.

Main Results:

  • The study included 1,963,496 patients; the EHR network population had lower Medicaid coverage and higher pregnancy risk factors compared to national data.
  • After weighting, EHR-based estimates for early prenatal care initiation were lower than NCHS data.
  • However, EHR-based estimates for prenatal care adequacy were equivalent to NCHS estimates and showed stability across demographics, states, and time.

Conclusions:

  • Adjusted EHR network data reliably inform surveillance of prenatal care adequacy, despite patient population nonrepresentativeness.
  • Near real-time EHR data can enhance the timeliness of population-level pregnancy surveillance.
  • This has the potential to better inform policy and clinical efforts to improve prenatal care access and use.