Object: Neurosurgeons are a high-risk group for allegations of malpractice. To determine the kinds of cases and the neurosurgical practice patterns associated with the highest proportion of litigation, the authors examined the experience over a 5-year period of a major physician-owned and -administered insurance company dealing with this issue, the Medical Liability Mutual Insurance Company (MLMIC) of New York. With the MLMIC cases as a basis, the authors also analyzed areas of physician vulnerability and determined the steps neurosurgeons can take to reduce potential litigation.
Methods: All cases closed against MLMIC-insured neurosurgeons from January 1, 1999, through December 30, 2003, were reviewed. Variables examined included allegation, anatomical site, and the ultimate resolution of the case. Of the 280 cases against neurosurgeons that were closed during the study period, 156 (56%) involved the spine, 109 (39%) involved the head and/or brain, and 15 (5%) reflected miscellaneous allegations. These proportions are relatively similar to the 1999 procedural statistics for neurosurgical practices. Of the cases examined, 98 were closed with a total loss indemnity of approximately $50 million, and 182 resulted in no indemnity payment.
Conclusions: A neurosurgeon's chances of being sued for malpractice are not necessarily related to the medical complexity of a particular case but rather to the types of cases with which the physician is involved. Elective spinal surgery cases constitute the majority of litigation. Neurosurgeons can take steps to reduce their vulnerability to potential litigation and to increase the odds of a successful defense.
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http://dx.doi.org/10.3171/jns.2007.106.6.1108 | DOI Listing |
BMJ Open Ophthalmol
January 2025
Department of Ophthalmology, Peking University People's Hospital, Beijing, China
Purpose: To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.
Design: Development and validation of an artificial intelligence algorithm for UBM images.
Methods: 2339 UBM images from 592 subjects were collected for algorithm development.
Traffic Inj Prev
January 2025
Waymo LLC, Mountain View, California, USA.
Objective: The public, regulators, and domain experts alike seek to understand the effect of deployed SAE level 4 automated driving system (ADS) technologies on safety. The recent expansion of ADS technology deployments is paving the way for early stage safety impact evaluations, whereby the observational data from both an ADS and a representative benchmark fleet are compared to quantify safety performance.
Methods: In January 2024; a working group of experts across academia, insurance, and industry came together in Washington, DC to discuss the current and future challenges in performing such evaluations.
Am J Respir Crit Care Med
January 2025
University of Utah, Division of Cardiovascular Medicine, Department of Medicine, Salt Lake City, Utah, United States.
Rationale: Guidelines recommend patients with pulmonary arterial hypertension (PAH) be referred to pulmonary hypertension (PH) centers, but little is known about where care is actually delivered in the United States (US).
Objectives: To use prescription patterns to estimate the proportion of PAH care delivered at US PH centers and explore factors associated with location of care.
Methods: This retrospective study analyzed claims from the Komodo database in adults who received ≥1 PAH prescription between March 2021 and February 2022.
Prev Med Rep
January 2025
Center for Advanced Practice, OSF HealthCare, Peoria, IL, USA.
Objective: The benefits of mobile applications in the prenatal period remain understudied. This study assessed associations between the Pregnancy Postpartum Support Program (PPSP), a digital wraparound service, and maternal and infant outcomes in a Medicaid population.
Methods: A retrospective analysis was conducted on pregnant patients with Medicaid insurance who received care and delivered in a Midwestern United States healthcare system between 8/1/2022-8/15/2023, comparing outcomes among those who did versus did not opt for PPSP enrollment.
BMC Nurs
January 2025
School of Public Health, Nantong University, 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Background: Long-term care insurance (LTCI) projects were an essential components of health systems designed to support disabled people and their families. Despite LTCI has been getting more and more attention and promotion, there was a lack of qualitative study to explore the experiences of family caregivers who were directly involved in the care of disabled people enrolled in these projects. This study aimed to explore the experiences of family caregivers in the caregiving process within the context of LTCI.
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