A patient's unique, personal name is fundamental in medical relationships. Sometimes, patients may use false names, which obscure family, ethnic, sexual, or billing identities. The means and motivations involved--fraud, concealment, gaining financial or personal advantage, gratifying a psychic need, or changing group assignment--produce a variety of distinct clinical manifestations of false name use. These may be classified as alias, pseudonym, manipulator, fraud, psychotic, amnestic, medical factitioner, and renamed. The identification of falsely named patients enables clinicians to improve care for these types of patients. Individual cases are briefly described and a discussion of naming in society and medicine follows. This preliminary discussion may serve to fuel further refinement.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1305331 | PMC |
Forensic Sci Int Genet
January 2025
Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA; Department of Computer Science, Rutgers University, Camden, NJ 08102, USA.
Recent developments in single-cell analysis have revolutionized basic research and have garnered the attention of the forensic domain. Though single-cell analysis is not new to forensics, the ways in which these data can be generated and interpreted are. Modern interpretation strategies report likelihood ratios that rely on a model of the world that is a simplification of it.
View Article and Find Full Text PDFBiomed Eng Lett
January 2025
Department of Electronic Engineering, Hanyang University, Seoul, 04763 Republic of Korea.
Demand for user authentication in virtual reality (VR) applications is increasing such as in-app payments, password manager, and access to private data. Traditionally, hand controllers have been widely used for the user authentication in VR environment, with which the users can typewrite a password or draw a pre-registered pattern; however, the conventional approaches are generally inconvenient and time-consuming. In this study, we proposed a new user authentication method based on eye-writing patterns identified using electrooculogram (EOG) recorded from four locations around the eyes in contact with the face-pad of a VR headset.
View Article and Find Full Text PDFMol Imaging Biol
January 2025
Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
The imposter phenomenon (IP) is a destructive set of beliefs, traits, and experiences in which high-achieving individuals fail to internalize their accomplishments and falsely perceive themselves as frauds. IP is a function of underrepresentation and contributes to and perpetuates a cycle of low self-worth, perfectionism, and anxiety, all of which negatively affect job performance and reinforce the IP cycle. Mitigating the deleterious effects of IP requires first naming this phenomenon and recognizing the patterns of IP.
View Article and Find Full Text PDFInt J Neonatal Screen
December 2024
Laboratory of Metabolic Diseases, Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, P.O. Box 30 001, 9700 RB Groningen, The Netherlands.
In The Netherlands, newborn screening (NBS) for tyrosinemia type 1 (TT1) uses dried blood spot (DBS) succinylacetone (SUAC) as a biomarker. However, high false-positive (FP) rates and a false-negative (FN) case show that the Dutch TT1 NBS protocol is suboptimal. In search of optimization options, we evaluated the protocols used by other NBS programs and their performance.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
Uppsala Monitoring Centre, Uppsala, Sweden.
Background: Automated recognition and redaction of personal identifiers in free text can enable organisations to share data while protecting privacy. This is important in the context of pharmacovigilance since relevant detailed information on the clinical course of events, differential diagnosis, and patient-reported reflections may often only be conveyed in narrative form. The aim of this study is to develop and evaluate a method for automated redaction of person names in English narrative text on adverse event reports.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!