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This method of de-identification requires a covered entity to obtain an evaluation of a dataset by a qualified statistical expert that “the risk of re-identifying an individual from the dataset is very small” based on their “knowledge and experience of using generally accepted statistical and scientific principles and ...
Oct 29, 2020 · De-identification is a process of detecting and removing all sensitive information present in EHRs, and it is a necessary step towards privacy- ...
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De-identification and anonymization are strategies that are used to remove patient identifiers in electronic health record (EHR) data.
Apr 27, 2011 · Here, I provide a description and critical analysis of de-identification methods that have been used in genomic research projects, such as i2b2 and eMerge.
Intended purpose: Uses natural language processing to automatically redact direct identifiers typically found in medical records, including addresses below ...
Aug 22, 2024 · This page provides guidance about methods and approaches to achieve de-identification in accordance with the HIPAA Privacy Rule.
Jun 11, 2021 · Here, we present a best-in-class approach to de-identification, which automatically detects identifiers and substitutes them with fabricated ones.
Dec 12, 2023 · De-identification refers to the removal or masking of PII/PHII in a dataset and for research purposes, it may be preferable to anonymisation, a ...
Feb 16, 2024 · By using the NER to identify named entities in EHRs, records can be automatically deidentified by masking or replacing this information.
Jul 19, 2021 · A Stanford researcher makes the case that de-identifying health records used for research doesn't offer anonymity and hinders the learning health system.
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