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Related Concept Videos

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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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...
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Related Experiment Video

Updated: Jul 5, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Testing electronic algorithms to create disease registries in a safety net system.

Rebecca Hanratty1, Raymond O Estacio, L Miriam Dickinson

  • 1University of Colorado at Denver, Health Sciences Center, Denver, CO 80204-4507, USA. Rebecca.Hanratty@dhha.org

Journal of Health Care for the Poor and Underserved
|May 13, 2008
PubMed
Summary

Developing electronic disease registries from electronic health data is feasible in safety net institutions. This approach can improve chronic disease management for underserved populations, showing good concordance with traditional chart reviews.

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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
  • Public Health
  • Chronic Disease Management

Background:

  • Electronic disease registries are crucial for chronic disease management.
  • Existing registries are primarily in managed care settings.
  • Use in safety net institutions serving uninsured/underserved populations is undocumented.

Purpose of the Study:

  • Assess the feasibility of developing electronic disease registries in a safety net institution.
  • Focus on hypertension due to its prevalence in minority populations.
  • Evaluate the accuracy of electronic data for registry development.

Main Methods:

  • Utilized algorithms with electronic data (lab, pharmacy records) to identify diagnoses.
  • Compared algorithm-derived diagnoses against manual chart review.
  • Focused on hypertension as a key chronic condition.

Main Results:

  • Demonstrated good concordance between diagnoses from electronic data and chart review.
  • Indicated feasibility of registry development using electronic data in safety net settings.
  • Highlighted potential for improved chronic illness care in underserved communities.

Conclusions:

  • Electronic disease registries can be successfully developed in safety net institutions.
  • This approach offers a viable method for managing chronic diseases outside traditional managed care.
  • Supports the expansion of electronic health record utilization for population health management.