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

Observational Studies01:11

Observational Studies

10.5K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
10.5K
Depression: Overview01:18

Depression: Overview

604
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
604
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

379
Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
379
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

314
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
314
Data Validation01:03

Data Validation

6.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.2K
Data Collection by Observations01:08

Data Collection by Observations

14.2K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.2K

You might also read

Related Articles

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

Sort by
Same author

Recruitment and Participation of Black Home Health Care Patients in Speech-Based Cognitive Research: Mixed Methods Feasibility Study.

JMIR formative research·2026
Same author

Large Language Model Adaptation Strategies in Speech-Based Cognitive Screening: Systematic Evaluation.

JMIR AI·2026
Same author

Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records.

JMIR research protocols·2026
Same author

Treatment of Substance Use Disorders With a Mobile Phone App Within Rural Collaborative Care Management (Senyo Health): Protocol for a Mixed Methods Randomized Controlled Trial.

JMIR research protocols·2025
Same author

Determining Patient Panel Size in Primary Care: A Meta-Narrative Review.

Journal of primary care & community health·2025
Same author

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation.

ACM transactions on computing for healthcare·2023

Related Experiment Video

Updated: Dec 3, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.2K

A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With

Maryam Zolnoori1, Mark D Williams1, William B Leasure1

  • 1Mayo Clinic, Rochester, MN, United States.

JMIR Research Protocols
|October 29, 2020
PubMed
Summary

A new framework improves patient registries for research. It addresses data quality and methodological issues, generating high-quality data for clinical care improvement and research on patient outcomes.

Keywords:
care coordination managementcollaborative care modelintegrated behavior healthpatient-centered registrysystematic framework

More Related Videos

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
09:14

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

Published on: March 14, 2025

677
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

3.0K

Related Experiment Videos

Last Updated: Dec 3, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.2K
Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
09:14

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

Published on: March 14, 2025

677
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

3.0K

Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Population Health Research

Background:

  • Patient-centered registries are crucial for identifying patients and monitoring outcomes in population-based care.
  • Registry data facilitate real-time patient care and secondary analyses for disease burden, management, and healthcare services research.
  • Registry design significantly impacts the effective utilization of clinical data for research purposes.

Purpose of the Study:

  • To develop a systematic framework for analyzing data from clinically designed patient-centered registries.
  • To address data and methodological challenges inherent in such registries.
  • To enhance the utility of registry data for quality improvement and research.

Main Methods:

  • Developed a framework with three components: data flow diagram visualization, data quality assessment and management, and patient cohort identification.
  • Applied the framework to a clinical registry for adults with depression at Mayo Clinic.
  • Demonstrated the framework's impact on data integrity and quality.

Main Results:

  • The framework successfully improved data integrity within the depression registry.
  • Data cleaning and refining procedures yielded high-quality data suitable for research.
  • Generated a viable research dataset from clinically collected data to assess high-cost service use in depressed adults.

Conclusions:

  • The systematic framework highlights inconsistencies and data quality issues in patient-centered registries.
  • Provided a step-by-step procedure to overcome these challenges.
  • Enables the generation of high-quality data for quality improvement and research, ultimately enhancing patient care and outcomes.