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

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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 assessment...
Dementia l: Introduction01:22

Dementia l: Introduction

Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...
Dementia01:30

Dementia

Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual.
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

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

You might also read

Related Articles

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

Sort by
Same author

Health Care Contact Days Among Older Adults After Emergency Department Visits: A Cross-Sectional Analysis.

Journal of the American Geriatrics Society·2026
Same author

All Models are Wrong, Some are Annotated: Automating Metadata in Biomedical Repositories.

bioRxiv : the preprint server for biology·2026
Same author

Optimized reference region and the effect on test-retest reliability and sensitivity to differences between Parkinson's disease and control groups with [<sup>11</sup>C]UCB-J.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

Synaptic density imaging in behavioral variant frontotemporal dementia: A comparison of <sup>1</sup> <sup>8</sup>F-SynVesT-1 and <sup>1</sup> <sup>8</sup>F-FDG PET.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Association of Geriatric Emergency Department Care With Hospitalization and Mortality in Older Adults.

Journal of the American Geriatrics Society·2026
Same author

Neighborhood Socioeconomic Deprivation is Associated with Worse Cognitive Performance and in vivo Amyloid Accumulation.

Research square·2026

Related Experiment Video

Updated: Jul 8, 2026

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

Assigning Probable Dementia Status Using Routinely Collected Electronic Health Record Data.

Natalia Festa1, Kelsey Alexovitz1, Natalia Sifnugel2

  • 1Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

Journal of the American Geriatrics Society
|July 6, 2026
PubMed
Summary

A new computational model accurately identifies probable Alzheimer's Disease and Related Dementias (ADRD) in older adults using electronic health records, improving diagnosis rates in emergency departments.

Keywords:
dementiaelectronic health recordphenotypesurveillance

More Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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

Related Experiment Videos

Last Updated: Jul 8, 2026

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

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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

Area of Science:

  • Gerontology
  • Computational Medicine
  • Public Health

Background:

  • Over half of older adults with Alzheimer's Disease and Related Dementias (ADRD) remain undiagnosed, hindering access to essential care.
  • Scalable methods are needed to identify ADRD prevalence and diagnostic gaps in the population.
  • Electronic Health Record (EHR) data offers a potential resource for large-scale ADRD monitoring.

Purpose of the Study:

  • To evaluate a decision-analytic modeling framework for assigning probable ADRD.
  • To translate clinician-adjudicated ADRD cases into a computational phenotype.
  • To accurately assess population-level ADRD in emergency department (ED) settings using EHR data.

Main Methods:

  • A retrospective cohort study included 5000 adults aged ≥65 years from nine EDs.
  • A logistic regression model was trained on 500 clinician-adjudicated cases to create a probabilistic phenotype.
  • Pattern-mixture multiple imputation addressed information bias, and decision-curve analysis assessed clinical utility.

Main Results:

  • The model showed good discrimination (AUROC 0.87) in identifying probable ADRD.
  • Decision-curve analysis indicated net clinical benefit across thresholds, identifying 16-18 additional ADRD cases per 100 older adults.
  • Phenotype-assigned cases closely matched clinician-adjudicated cases (standardized mean differences ≤0.20).

Conclusions:

  • A computational phenotype derived from EHR data accurately identifies probable ADRD.
  • The framework demonstrated clinical utility, even for patients without ADRD diagnosis codes.
  • Adoption of this replicable model can enhance ADRD surveillance and reduce underdiagnosis in healthcare organizations.