ArticlePloS one2016
An Analysis of the Number of Medical Malpractice Claims and Their Amounts.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Generative artificial intelligence in forensic medicine: a pilot study on AI-simulated medico-legal reports in healthcare liability cases.International journal of legal medicine · 2026Article
- Healthcare-associated infections and medical malpractice claims in the Veneto Region (2010-2024): a retrospective analysis of regional claims data.BMC health services research · 2026Article
- Medico-legal management of healthcare-associated infections: a cost-effectiveness analysis in an Italian tertiary hospital.Frontiers in medicine · 2024Article
- Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.Methods of information in medicine · 2023Article
- Article
- Financial Expenses and "Losses" of the Polish Healthcare System Resulting from the Occurrence of Adverse Events.International journal of environmental research and public health · 2022Article
- A trend of Medical Negligence in Laser Therapy in the Capital City: A Nine-Year Survey.Journal of lasers in medical sciences · 2022Article
- Accusations of Treatment Errors Are Mostly Unjustified From the Medicolegal Viewpoint.Deutsches Arzteblatt international · 2021Article
- A detailed analysis of pediatric surgical malpractice claims in Germany: what is the probability of a pediatric surgeon to be accused or convicted?Langenbeck's archives of surgery · 2021Article
- Investigating errors in medical imaging: medical malpractice cases in Finland.Insights into imaging · 2021Article
- Medical Liability: Review of a Whole Year of Judgments of the Civil Court of Rome.International journal of environmental research and public health · 2021Article
- Analysis of Inadequacies in Hospital Care through Medical Liability Litigation.International journal of environmental research and public health · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Starting from an extensive database, pooling 9 years of data from the top three insurance brokers in Italy, and containing 38125 reported claims due to alleged cases of medical malpractice, we use an inhomogeneous Poisson process to model the number of medical malpractice claims in Italy. The intensity of the process is allowed to vary over time, and it depends on a set of covariates, like the size of the hospital, the medical department and the complexity of the medical operations performed. We choose the combination medical department by hospital as the unit of analysis. Together with the number of claims, we also model the associated amounts paid by insurance companies, using a two-stage regression model. In particular, we use logistic regression for the probability that a claim is closed with a zero payment, whereas, conditionally on the fact that an amount is strictly positive, we make use of lognormal regression to model it as a function of several covariates. The model produces estimates and forecasts that are relevant to both insurance companies and hospitals, for quality assurance, service improvement and cost reduction.
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