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

Longitudinal Research02:20

Longitudinal Research

12.7K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.7K
Purpose of Health Records II01:19

Purpose of Health Records II

1.1K
Health records serve various essential purposes in the healthcare system. Here are some key purposes:
1.1K
Longitudinal Studies01:26

Longitudinal Studies

279
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
279
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.1K
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
1.1K
Purpose of Health Records I01:11

Purpose of Health Records I

1.4K
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:
1.4K
Data Collection I01:30

Data Collection I

7.1K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.1K

You might also read

Related Articles

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

Sort by
Same author

Making clinical guidelines work for people with multiple long term conditions: analysis and recommendations from review of single condition guidelines.

BMJ medicine·2026
Same author

The association between early diagnosis of gestational diabetes and maternal-neonatal outcomes: a secondary analysis of the digest trial.

Endocrine·2026
Same author

International Multidisciplinary Consensus Report on Definitions, Diagnostic Criteria, and Management of Fatty Pancreas: A Joint Statement Endorsed by EPC, APA, EASD, EASL, ESGAR, ESGE, ESP, ESPCG, ESPEN, ESPGHAN, IAP, JPS, KPBA, LAPSG, and UEG.

United European gastroenterology journal·2026
Same author

Developing Topics.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Omics-driven insights into the molecular pathways driving osteoarthritis pathogenesis.

Connective tissue research·2025
Same author

The Omnipotent Liver: Dealing With Variation in Food Composition.

The Journal of clinical endocrinology and metabolism·2025

Related Experiment Video

Updated: Oct 10, 2025

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

7.3K

Curating a longitudinal research resource using linked primary care EHR data-a UK Biobank case study.

Philip Darke1, Sophie Cassidy2, Michael Catt3

  • 1School of Computing, Newcastle University, Newcastle upon Tyne, UK.

Journal of the American Medical Informatics Association : JAMIA
|December 13, 2021
PubMed
Summary

Researchers developed a method to extend patient follow-up in electronic health record (EHR) studies. This approach improves longitudinal data collection for cohort studies, enhancing research accuracy.

Keywords:
diabetes mellituselectronic health recordslongitudinal studiesmedical record linkagephenotype

More Related Videos

Establishment of a Clinic-based Biorepository
07:50

Establishment of a Clinic-based Biorepository

Published on: May 29, 2017

6.6K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.4K

Related Experiment Videos

Last Updated: Oct 10, 2025

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

7.3K
Establishment of a Clinic-based Biorepository
07:50

Establishment of a Clinic-based Biorepository

Published on: May 29, 2017

6.6K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.4K

Area of Science:

  • Health Informatics
  • Biostatistics
  • Epidemiology

Background:

  • Electronic Health Record (EHR) data are crucial for cohort studies but present challenges in determining data collection periods.
  • Longitudinal studies require continuous participant follow-up, even when individuals change primary care practices, which often leads to data censoring.

Purpose of the Study:

  • To develop and validate a methodology for inferring continuous EHR data collection periods.
  • To maximize participant follow-up duration in longitudinal cohort studies using primary care EHR data.
  • To assess the impact of the methodology on phenotyping accuracy and its utility in case studies.

Main Methods:

  • Utilized UK Biobank data as an exemplar to develop algorithms for inferring continuous data collection periods.
  • Implemented a method to extend participant follow-up beyond practice registration changes.
  • Validated the approach through a diabetes mellitus case study and by comparing EHR data with self-reported information.

Main Results:

  • The methodology successfully inferred continuous data collection periods, extending follow-up for approximately 40% of participants with multiple registration records.
  • Achieved a mean increase of 3.8 years in follow-up duration from the first study visit for relevant participants.
  • Demonstrated no compromise in phenotyping accuracy when comparing self-reported data with EHR data.

Conclusions:

  • The developed methodology effectively addresses challenges in utilizing primary care EHR data for longitudinal cohort studies.
  • The approach enhances participant follow-up duration and supports robust study design without sacrificing data accuracy.
  • The provided tools are adaptable for various conditions and studies beyond the UK Biobank and the specific case study.