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Related Concept Videos

Life Tables01:22

Life Tables

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Health Information Technology (HIT)
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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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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...
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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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Intelligent Mortality Reporting with FHIR.

Ryan A Hoffman1, Hang Wu2, Janani Venugopalan1

  • 1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332 USA.

... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics
|August 15, 2017
PubMed
Summary

This study shows that SMART-on-FHIR apps can improve public health death reporting. These applications enable faster, more accurate mortality data collection across different US jurisdictions.

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Area of Science:

  • Public Health Informatics
  • Health Data Standards
  • Electronic Health Records

Background:

  • Accurate and timely death reporting is crucial for public health surveillance.
  • Existing death reporting systems face challenges with data completeness and timeliness.
  • Fast Healthcare Interoperability Resources (FHIR) and SMART-on-FHIR offer potential solutions for health data exchange.

Purpose of the Study:

  • To demonstrate the feasibility of developing SMART-on-FHIR applications for death reporting.
  • To map standard death certificate information to FHIR resources.
  • To explore analytics for improving mortality reporting accuracy and completeness.

Main Methods:

  • Developed SMART-on-FHIR applications for medical professionals.
  • Mapped death certificate data elements to FHIR DSTU2 resources.
  • Implemented analytics for data quality assessment.

Main Results:

  • Demonstrated the feasibility of using SMART-on-FHIR for death reporting.
  • Successfully mapped death certificate information to FHIR resources.
  • Showcased potential for improved data accuracy and completeness through analytics.

Conclusions:

  • SMART-on-FHIR applications are a viable tool for enhancing public health death reporting.
  • Standardization via FHIR facilitates interoperability and data quality improvements.
  • Further development and implementation can strengthen national mortality statistics.