Anonymisation models for text data: State of the art, challenges and future directions

P Lison, I Pilán, D Sánchez, M Batet… - Proceedings of the 59th …, 2021 - aclanthology.org
This position paper investigates the problem of automated text anonymisation, which is a
prerequisite for secure sharing of documents containing sensitive information about …

[HTML][HTML] Clinical data reuse or secondary use: current status and potential future progress

SM Meystre, C Lovis, T Bürkle… - Yearbook of medical …, 2017 - thieme-connect.com
Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …

Examining individuals' adoption of healthcare wearable devices: An empirical study from privacy calculus perspective

H Li, J Wu, Y Gao, Y Shi - International journal of medical informatics, 2016 - Elsevier
Background Wearable technology has shown the potential of improving healthcare
efficiency and reducing healthcare cost. Different from pioneering studies on healthcare …

Using structural topic modeling to gain insight into challenges faced by leaders

S Tonidandel, KM Summerville, WA Gentry… - The Leadership …, 2022 - Elsevier
This paper leverages technological and methodological advances in natural language
processing to advance our understanding and approaches to leadership research by …

Recent advances in clinical natural language processing in support of semantic analysis

S Velupillai, D Mowery, BR South… - Yearbook of medical …, 2015 - thieme-connect.com
Objectives: We present a review of recent advances in clinical Natural Language Processing
(NLP), with a focus on semantic analysis and key subtasks that support such analysis …

An empirical study of patients' privacy concerns for health informatics as a service

Z Xu - Technological Forecasting and Social Change, 2019 - Elsevier
The combination of two frontier technologies, health informatics and cloud computing, is
known as Health Informatics as a Service (HIaaS). Considering the importance of privacy …

DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text

V Menger, F Scheepers, LM van Wijk, M Spruit - Telematics and Informatics, 2018 - Elsevier
In order to use medical text for research purposes, it is necessary to de-identify the text for
legal and privacy reasons. We report on a pattern matching method to automatically de …

Customization scenarios for de-identification of clinical notes

T Hartman, MD Howell, J Dean, S Hoory… - BMC medical informatics …, 2020 - Springer
Background Automated machine-learning systems are able to de-identify electronic medical
records, including free-text clinical notes. Use of such systems would greatly boost the …

Privacy policy and technology in biomedical data science

AM Arellano, W Dai, S Wang, X Jiang… - Annual review of …, 2018 - annualreviews.org
Privacy is an important consideration when sharing clinical data, which often contain
sensitive information. Adequate protection to safeguard patient privacy and to increase …

[HTML][HTML] State of the art and a mixed-method personalized approach to assess patient perceptions on medical record sharing and sensitivity

H Soni, A Grando, A Murcko, S Diaz… - Journal of biomedical …, 2020 - Elsevier
Objective Sensitive health information possesses risks, such as stigma and discrimination,
when disclosed. Few studies have used a patient's own electronic health records (EHRs) to …