Medical Malpractice Claims Within Cardiology from 2006 to 2015

Frances Wang1, Sandeep K Krishnan2

  • 1Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.

Insights

Cardiology malpractice claims and payments significantly increased from 2006-2015. Understanding these trends, particularly improper treatment and diagnostic errors, helps cardiologists mitigate risk and improve patient care.

Area of Science:

  • Medical Law
  • Cardiology
  • Healthcare Litigation

Background:

  • Rising healthcare costs and defensive medicine necessitate understanding litigation trends.
  • Cardiology faces higher malpractice suit rates than average.
  • Analyzing liability claims aids in mitigating malpractice risk and enhancing patient care.

Purpose of the Study:

  • To characterize current malpractice litigation trends in cardiology.
  • To identify common sources of patient injury in cardiology claims.

Main Methods:

  • Analysis of malpractice claims data from 2006 to 2015.
  • Data sourced from nationwide professional liability insurers, health systems, and community hospitals.
  • Examination of claim allegations, outcomes, and indemnity payments.

Main Results:

  • Both the number of claims and indemnity payments in cardiology increased from 2006 to 2015.
  • Improper medical treatment and diagnostic error were the leading allegations in 1,538 claims.
  • A majority of claims (68%) were decreased, denied, or dismissed; 30% were settled out of court.

Conclusions:

  • Cardiology malpractice claims and compensation amounts rose substantially in the U.S. between 2006 and 2015.
  • Understanding lawsuit characteristics can help cardiologists avoid common patient injuries.
  • This analysis provides critical insights for improving patient care and reducing malpractice risk in cardiology.

Related Concept Videos

Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.3K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
4.0K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
3.0K
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
6.3K
Inhaled Medications01:23

Inhaled Medications

Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
801
Endocarditis III: Medical Management01:18

Endocarditis III: Medical Management

Infective endocarditis management involves a multifaceted approach encompassing infection prevention, lifestyle modifications, pharmacological therapy, and surgical management.Infection Prevention:Hand Hygiene: Thorough handwashing is crucial to prevent the spread of infection. Hand hygiene should be performed regularly, especially before and after using the restroom.Oral Hygiene: Good oral hygiene is essential. It includes brushing teeth immediately after waking up and before bed, flossing...
258