The Health Insurance Portability and Accountability Act of 1996 (HIPAA) created new requirements for health care providers to protect the privacy and security of individually identifiable health information. Regulations to implement HIPAA's privacy provisions were published by the Department of Health and Human Services (HHS) in "final" form in December 2000 (the Privacy Rules). In March, 2002, HHS proposed modifications to the Privacy Rules, which were published on August 14, 2002. The modified final regulations differed from the 2000 regulations in a number of important respects. Most recently, on December 4, 2002, the Office of Civil Rights (OCR), which is charged with enforcement of HIPAA, published "Guidance Explaining Significant Aspects of the Privacy Rule." The Privacy Rules went into effect on April 14, 2003. This article provides a summary of the modified Privacy Rules, discusses some interesting aspects of OCR's "guidance," and highlights the requirements that are most likely to impact the practice of medical genetics.
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http://dx.doi.org/10.1097/01.GIM.0000068625.72823.86 | DOI Listing |
Cureus
December 2024
Biomedical Sciences, University of Chicago, Chicago, USA.
Pediatric-type follicular lymphoma (PTFL) is an extremely rare B-cell lymphoma that primarily affects children and young adults, typically in individuals under 25 years old, with a median age of 15 years. Here, we report a rare case of PTFL in a 27-year-old adult male who presented with a slow-growing mass near his left ear. Initial CT scans of the neck revealed two oval-shaped, smooth, well-defined, homogeneously enhancing soft tissue density lesions in the superficial lobe of the left parotid gland.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
January 2025
Department of Computer Science, Johns Hopkins University, Baltimore, MD.
Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.
View Article and Find Full Text PDFNat Commun
January 2025
Data Science Institute, Imperial College London, London, UK.
AI techniques are increasingly being used to identify individuals both offline and online. However, quantifying their effectiveness at scale and, by extension, the risks they pose remains a significant challenge. Here, we propose a two-parameter Bayesian model for exact matching techniques and derive an analytical expression for correctness (κ), the fraction of people accurately identified in a population.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Hematology Oncology Associates of CNY, Syracuse, USA.
Pancreatic cancer is a highly aggressive malignancy with the majority of patients presenting at a late stage with unresectable or metastatic disease. Even with first line treatment, median survival is approximately 11 months in patients with advanced PDAC. This report details the unique case of a patient that presented with peritoneal metastases from an adenocarcinoma of the body of the pancreas, had a remarkable response to palliative chemotherapy and is alive without evidence of disease 12 months following cessation of all active treatment.
View Article and Find Full Text PDFBMC Public Health
January 2025
Victoria University, Institute for Health and Sport and Australian Health Policy Collaboration, Melbourne, Australia.
Background: Social media hashtags play a significant role in increasing the visibility of health information by making it easier for people to explore health-related content. Health promotion campaigns use campaign-specific hashtags to disseminate health-related messages, enabling individuals to access accurate and timely resources and updates. The study aims to discover patterns of connection between hashtags and identify the most influential hashtags used on Twitter in the American Heart Month campaigns.
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