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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,...
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...
Purpose of Health Records II01:19

Purpose of Health Records II

Health records serve various essential purposes in the healthcare system. Here are some key purposes:
Traumatic Brain Injury l: Introduction01:28

Traumatic Brain Injury l: Introduction

DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...
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:

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Related Experiment Video

Updated: May 28, 2026

Investigating Alterations in Caecum Microbiota After Traumatic Brain Injury in Mice
04:29

Investigating Alterations in Caecum Microbiota After Traumatic Brain Injury in Mice

Published on: September 19, 2019

Discordance Between Electronic Health Records and Self-Reported Data: Evidence from Traumatic Brain Injury and

Zahra Mojtahedi1, Alireza Bolourian2, Taylor S Lane1,3

  • 1Center for Community Health and Engaged Research, Northern Arizona University, Flagstaff, AZ 86011, USA.

Healthcare (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

Electronic health record (EHR) and self-reported data show fair concordance for traumatic brain injury (TBI), with sociodemographic factors influencing discordance. Colorectal cancer data demonstrated higher concordance, suggesting a need for improved data integration policies.

Keywords:
EHRMedicaidTBIagreementcolorectal cancerconcordanceeducationsurvey

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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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Published on: January 8, 2020

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Last Updated: May 28, 2026

Investigating Alterations in Caecum Microbiota After Traumatic Brain Injury in Mice
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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:

  • Health Informatics
  • Clinical Documentation
  • Patient-Reported Outcomes

Background:

  • Discordance between electronic health records (EHR) and self-reported data can stem from incomplete clinical documentation and sociodemographic variations.
  • Traumatic brain injury (TBI) is hypothesized to have higher discordance rates compared to conditions like colorectal cancer.

Purpose of the Study:

  • To nationally investigate the concordance and discordance between EHR and self-reported data for TBI and colorectal cancer.
  • To identify sociodemographic factors associated with data discordance in these conditions.

Main Methods:

  • A cross-sectional study utilizing linked EHR and survey data from the national All of Us Research Program.
  • Analysis involved a 2x2 classification framework, calculating agreement metrics (sensitivity, specificity, Cohen's kappa), and employing logistic regression and machine learning models.
  • Participants were stratified into concordant positive, concordant negative, and two discordant groups (EHR+/Survey- and EHR-/Survey+).

Main Results:

  • Traumatic brain injury (TBI) exhibited fair concordance (κ = 0.33) between EHR and self-reported data, with lower concordance associated with older age, lower education, non-White race, and Medicaid insurance.
  • Colorectal cancer demonstrated stronger concordance (κ = 0.66), with fewer sociodemographic associations, although race and Medicaid coverage showed similar patterns to TBI.
  • Machine learning models corroborated the findings from logistic regression analyses.

Conclusions:

  • Concordance between EHR and self-reported data for TBI is fair, but significant discordance exists, influenced by sociodemographic factors.
  • Sociodemographic disparities, including age, education, race, and insurance status, are linked to increased data discordance, particularly for TBI.
  • There is a need for policy interventions to enhance the concordance between EHR and self-reported data, especially for vulnerable sociodemographic groups.