AIMC Topic: Health Insurance Portability and Accountability Act
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De-identification of free text data containing personal health information: a scoping review of reviews.
International journal of population data science
Dec 12, 2023
INTRODUCTION: Using data in research often requires that the data first be de-identified, particularly in the case of health data, which often include Personal Identifiable Information (PII) and/or Personal Health Identifying Information (PHII). Ther...
How US law will evaluate artificial intelligence for covid-19.
BMJ (Clinical research ed.)
Mar 15, 2021
explore the legal implications of using artificial intelligence in the response to covid-19 and call for more robust evaluation frameworks
De-identification of clinical notes via recurrent neural network and conditional random field.
Journal of biomedical informatics
Jun 1, 2017
De-identification, identifying information from data, such as protected health information (PHI) present in clinical data, is a critical step to enable data to be shared or published. The 2016 Centers of Excellence in Genomic Science (CEGS) Neuropsyc...
Robust privacy amidst innovation with large language models through a critical assessment of the risks.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVE: This study evaluates the integration of electronic health records (EHRs) and natural language processing (NLP) with large language models (LLMs) to enhance healthcare data management and patient care, focusing on using advanced language mo...
Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for improving patient care and operational efficiency in healthcare. However, the use of LLMs is complicated by regulatory concerns around data security and p...
AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance.
JAMA
Jul 25, 2023
Using word embeddings to improve the privacy of clinical notes.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2020
OBJECTIVE: In this work, we introduce a privacy technique for anonymizing clinical notes that guarantees all private health information is secured (including sensitive data, such as family history, that are not adequately covered by current technique...
On Patient Safety: The Lure of Artificial Intelligence-Are We Jeopardizing Our Patients' Privacy?
Clinical orthopaedics and related research
Apr 1, 2020
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