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Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

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.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Life Tables01:22

Life Tables

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,...
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
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Updated: Jun 16, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

What is a Mortality Committee for? Autopsy as a quality indicator.

Francisco Ortuño-Andériz1, María Jesús Fernández-Aceñero2, Natividad Calvo-Romero3

  • 1Critical Care Unit, Hospital Clínico San Carlos, Calle Martín Lagos s.n., Madrid, 28040, Spain.

International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

Clinical autopsies reveal significant diagnostic errors in about one-third of cases, particularly in malignancies and infections. Hospital Mortality Review Committees can aid quality improvement, but low autopsy rates hinder practice changes.

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Published on: March 7, 2017

Area of Science:

  • Pathology
  • Medical Education
  • Healthcare Quality Improvement

Background:

  • Clinical autopsy is crucial for medical education, research, and quality assurance.
  • Despite diagnostic advances, significant premortem diagnosis discrepancies persist.
  • Declining autopsy rates raise concerns about diagnostic accuracy and patient safety.

Purpose of the Study:

  • To evaluate the contribution of clinical autopsies in detecting major diagnostic discrepancies.
  • To examine the role of Hospital Mortality Review Committees in autopsy-based quality assessment.

Main Methods:

  • Retrospective observational study of 284 adult autopsies over 10 years.
  • Comparison of premortem diagnoses with postmortem findings using the modified Goldman classification.
  • Analysis of major diagnostic discrepancies by clinical department.

Main Results:

  • Major clinicopathological discrepancies found in 30.3% of autopsies.
  • Frequent missed diagnoses included malignancies, pneumonias, and cardiovascular diseases.
  • Discrepancies were most common in intensive care and internal medicine patients.

Conclusions:

  • Approximately one-third of autopsies revealed major discrepancies, highlighting diagnostic gaps.
  • Autopsy findings identified more clinically relevant discrepancies than initial clinical review.
  • Hospital Mortality Review Committees can facilitate systematic review, but low autopsy rates and poor feedback limit practice improvement.