Search PubMed⌕ Search

PubMed · 16631494

Case for tort reform in medical malpractice.

Abstract

Under tort law, injured parties have the basic right to seek indemnity for wrongful injury, including injury from medical malpractice. Unfortunately, the present system is associated with many undesirable secondary effects, including problems of patient access to care, excessive testing or overtreatment, and undertreatment due to doctors' fear of malpractice. Nationwide, there are innumerable cases of doctors abandoning obstetrical or other high risk practices, or migrating away from states with less friendly tort laws. The California MICRA legislation of 1976 is often cited as a model for tort reform, but even this model legislation may be insufficient to restore a beleaguered trust between medical providers and their patients. Several key research studies suggest that the jury system fails to fairly and reliably compensate injured patients, and fails to deter or discipline errant doctors. To adequately meet the common needs of patients and health care providers, there must be an appropriate emphasis on aggressive risk management, quality improvement, patient safety, professional oversight, and responsible insurance underwriting. Moreover, there must be a systemic improvement of the current tort system as it pertains to medical malpractice. Although incremental reforms at the state level are slowly occurring and should certainly be supported, a greater reward may ultimately stem from more radical restructuring to a system of medical tribunals.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Dean M DeLuke. 2006. Case for tort reform in medical malpractice.. https://doi.org/10.1016/j.joms.2006.01.020

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗