Zobrazeno 1 - 10
of 1 072
pro vyhledávání: '"Protected health information"'
Autor:
Imran Khan, Anwar Ghani, Syed Muhammad Saqlain, Muhammad Usman Ashraf, Abdulrahman Alzahrani, Do-Hyeun Kim
Publikováno v:
IEEE Access, Vol 11, Pp 144560-144573 (2023)
The recent advancements in cyber technology have facilitated the global electronic sharing of healthcare data among various healthcare professionals, including clinicians, researchers, business administrators, and others. Fog computing is gaining pop
Externí odkaz:
https://doaj.org/article/b632b56f85af436ea3f7c463027f1c7f
Autor:
Stephen Dennis, Dr. Bob Rogers
Publikováno v:
Blockchain in Healthcare Today, Vol 6, Iss 1 (2023)
Over 90% of all biomedical AI research is stalled due to its inability to access real world protected health information to complete the required clinical validation and valuation prior to its deployment. With AI forecasted to improve patient outcome
Externí odkaz:
https://doaj.org/article/f20bb5666c6a434782e16c927395388d
Autor:
Tanmoy Paul, Md Kamruz Zaman Rana, Preethi Aishwarya Tautam, Teja Venkat Pavan Kotapati, Yaswitha Jampani, Nitesh Singh, Humayera Islam, Vasanthi Mandhadi, Vishakha Sharma, Michael Barnes, Richard D. Hammer, Abu Saleh Mohammad Mosa
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
BackgroundElectronic health record (EHR) systems contain a large volume of texts, including visit notes, discharge summaries, and various reports. To protect the confidentiality of patients, these records often need to be fully de-identified before c
Externí odkaz:
https://doaj.org/article/3828d9965431427887fb90453f48bc56
A study of deep learning methods for de-identification of clinical notes in cross-institute settings
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S5, Pp 1-9 (2019)
Abstract Background De-identification is a critical technology to facilitate the use of unstructured clinical text while protecting patient privacy and confidentiality. The clinical natural language processing (NLP) community has invested great effor
Externí odkaz:
https://doaj.org/article/775e5d47b225435ca26e6ab185b920d4
Autor:
Tanmoy Paul, Humayera Islam, Nitesh Singh, Yaswitha Jampani, Teja Venkat Pavan Kotapati, Preethi Aishwarya Tautam, Md Kamruz Zaman Rana, Vasanthi Mandhadi, Vishakha Sharma, Michael Barnes, Richard D. Hammer, Abu Saleh Mohammad Mosa
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9976 (2022)
The de-identification of clinical reports is essential to protect the confidentiality of patients. The natural-language-processing-based named entity recognition (NER) model is a widely used technique of automatic clinical de-identification. The perf
Externí odkaz:
https://doaj.org/article/e0a2cb981dc5479694e7a9dccdcb2ccd
Autor:
In Lee
Publikováno v:
Information, Vol 13, Iss 9, p 404 (2022)
To address rapidly growing data breach incidents effectively, healthcare providers need to identify various insider and outsider threats, analyze the vulnerabilities of their internal security systems, and develop more appropriate data security measu
Externí odkaz:
https://doaj.org/article/5c9e6ee79ae64f8182f9b5f0c24736ec
Akademický článek
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Publikováno v:
Journal of Empirical Research on Human Research Ethics: An International Journal, 2007 Mar . 2(1), 43-46.
Externí odkaz:
https://www.jstor.org/stable/10.1525/jer.2007.2.1.43
Akademický článek
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Autor:
Feenan, Dermot
Publikováno v:
The Modern Law Review, 1996 Jan 01. 59(1), 101-110.
Externí odkaz:
https://www.jstor.org/stable/1096426