Electronic Health Records De Identification

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De-identification of electronic health record using neural networ…

(8 days ago) People also askWhat are the steps in automated de-identification of electronic health records?Automated de-identification of electronic health records Two steps in automated de-identification of EHRs: (A) detecting PII entities and (B) transforming them by replacement with suitable surrogates. PII, personally identifiable information.Building a best-in-class automated de-identification tool for sciencedirect.comAre electronic health records confidential?Electronic health records (EHR) contain a large amount of structured data and free text. Exploring and sharing clinical data can improve healthcare and facilitate the development of medical software. However, revealing confidential information is against ethical principles and laws. We de-identified a Danish EHR database with 437,164 patients.De-identifying an EHR database - anonymity, correctness and readability pubmed.ncbi.nlm.nih.govWhat is de-identification of medical record data?De-identification of medical record data refers to the removal or replacement of personal identifiers so that it would be difficult to reestablish a link between the individual and his or her data.Strategies for de-identification and anonymization of electronic health ncbi.nlm.nih.govWhat is a HIPAA compliant de-identification of protected health information (PHI)?The de-identification of Protected Health Information (PHI) allows HIPAA Covered Entities to share health data and avoid the restrictions of the HIPAA Privacy Rule. The compliant way to de-identify PHI is to remove specific identifiers from patients´ data sets and have the process confirmed by expert determination.De-identification of Protected Health Information: 2024 Updatehipaajournal.comFeedbackNational Center for Biotechnology Informationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502465Strategies for de-identification and anonymization of …WEBDe-identification and anonymization are strategies that are used to remove patient identifiers in electronic health record (EHR) data. The use of these strategies in multicenter research studies is paramount in importance, given the need to share EHR …

https://www.nature.com/articles/s41598-020-75544-1.pdf#:~:text=De%E2%80%90identification%20is%20a%20process%20of%20detecting%20and%20removing,data%20using%20manual%2C%20rule%E2%80%90based%2C%20and%20machine%20learning%20methods.

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De-identification of Protected Health Information: 2024 …

(6 days ago) WEBThe first HIPAA compliant way to de-identify protected health information is to remove specific identifiers from the data set. The identifiable data that must be removed …

https://www.hipaajournal.com/de-identification-protected-health-information/

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De-identification of electronic health record using neural …

(Just Now) WEBDe-identification is a process of detecting and removing all sensitive information present in EHRs, and it is a necessary step towards privacy-preserving EHR …

https://www.nature.com/articles/s41598-020-75544-1

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The OpenDeID corpus for patient de-identification

(Just Now) WEBThe OpenDeID corpus comprises 2,100 pathology reports from 1,833 cancer patients with an average of 737.49 tokens and 7.35 protected health information entities …

https://www.nature.com/articles/s41598-021-99554-9

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Methods for the de-identification of electronic health records …

(3 days ago) WEBTu K, Klein-Geltink J, Mitiku T, Mihai C, Martin J: De-identification of primary care electronic medical records free-text data in Ontario, Canada. BMC Med Inform Decis Mak. 2010, 10: 35-10.1186/1472-6947-10-35. Article PubMed Central PubMed Google Scholar

https://genomemedicine.biomedcentral.com/articles/10.1186/gm239

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Building a best-in-class automated de-identification tool for

(7 days ago) WEBAutomated de-identification of electronic health records. Two steps in automated de-identification of EHRs: (A) detecting PII entities and (B) transforming …

https://www.sciencedirect.com/science/article/pii/S2666389921000817

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Building a best-in-class automated de-identification tool …

(3 days ago) WEBHere, we present a best-in-class approach to de-identification, which automatically detects identifiers and substitutes them with fabricated ones. Our …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212138/

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De-identification of electronic health record using neural …

(3 days ago) WEBDe-identification is a process of detecting and removing all sensitive information present in EHRs, and it is a necessary step towards privacy-preserving EHR …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596089/

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Methods for the de-identification of electronic health records …

(9 days ago) WEBElectronic health records and the need for de-identification Electronic health records (EHRs) are increasingly being used as a source of clinically relevant patient data for …

https://med.stanford.edu/content/dam/sm/cirge/documents/activities/journalclubs/deidentificationgenomemed.pdf

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De-identification of electronic health record using …

(4 days ago) WEBhealth record using neural network Tanbir Ahmed * , Md Momin Al Aziz & Noman Mohammed According to a recent study, around 99% of hospitals across the US now …

https://www.nature.com/articles/s41598-020-75544-1.pdf

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Improving domain adaptation in de-identification of …

(1 days ago) WEBObjective: De-identification is a fundamental task in electronic health records to remove protected health information entities. Deep learning models have …

https://pubmed.ncbi.nlm.nih.gov/34363664/

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Privacy preserving neural networks for electronic health …

(6 days ago) WEBSince 2016, we have seen several deep learning-based approaches for de-identification, which achieved over 98% accuracy. However, these models are trained …

https://dl.acm.org/doi/10.1145/3459930.3469555

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De-identifying an EHR database - anonymity, correctness and …

(1 days ago) WEBElectronic health records (EHR) contain a large amount of structured data and free text. Exploring and sharing clinical data can improve healthcare and facilitate the …

https://pubmed.ncbi.nlm.nih.gov/21893869/

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De-Identification of Electronic Health Records Data

(2 days ago) WEBThe paper describes needs of removal or encoding of personal data (de-identifica-tion) from electronic health records, and research undertaken for …

https://link.springer.com/chapter/10.1007/978-3-030-23762-2_29

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Revisiting De-Identification of Electronic Medical Records: …

(5 days ago) WEBThe de-identification task aims to detect and remove the protected health information from electronic medical records (EMRs). Previous studies generally focus …

https://aclanthology.org/2023.emnlp-main.224/

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Strategies for De-identification and Anonymization of …

(7 days ago) WEBBackground: De-identification and anonymization are strategies that are used to remove patient identifiers in electronic health record data. The use of these strategies in …

https://www.jstor.org/stable/23216664

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De-identification of electronic health record using neural network

(1 days ago) WEBDe-identification is a process of detecting and removing all sensitive information present in EHRs, and it is a necessary step towards privacy-preserving EHR …

https://pubmed.ncbi.nlm.nih.gov/33122735/

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Leveraging text skeleton for de-identification of electronic medical

(1 days ago) WEBDe-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would be of high value. In this paper, a method of combining text skeleton and recurrent neural network is proposed to solve the problem …

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0598-6

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Methods for the de-identification of electronic health records for

(3 days ago) WEBElectronic health records and the need for de-identification. Electronic health records (EHRs) are increasingly being used as a source of clinically relevant …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129641/

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Generating Synthetic Training Data for Supervised De …

(9 days ago) WEBNarrative text in electronic health records (EHRs) is a rich resource to advance medical and machine learning research. To make this unstructured information …

https://www.mdpi.com/1999-5903/13/5/136

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Strategies for de-identification and anonymization of electronic …

(1 days ago) WEBBackground: De-identification and anonymization are strategies that are used to remove patient identifiers in electronic health record data. The use of these strategies in …

https://pubmed.ncbi.nlm.nih.gov/22692265/

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Automatic de-identification of French electronic health records: a …

(2 days ago) WEBAutomatic de-identification of electronic health records is generally considered a task of named entity recognition, which enables the extraction of personal …

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02422-5

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De-identification of EHRs with NLP Jan Trienes Nedap - Medium

(2 days ago) WEBDe-identification of Electronic Health Records using NLP. Nedap · 8 min read · Jul 15, 2020--Listen. Share. At Nedap, we develop electronic health …

https://medium.com/nedap/de-identification-of-ehr-using-nlp-a270d40fc442

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