Challenges and opportunities beyond structured data in analysis of electronic health records
M Tayefi, P Ngo, T Chomutare… - Wiley …, 2021 - Wiley Online Library
Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …
patients and the whole population. Besides structured data, unstructured data in EHRs can …
Privacy policy and technology in biomedical data science
Privacy is an important consideration when sharing clinical data, which often contain
sensitive information. Adequate protection to safeguard patient privacy and to increase …
sensitive information. Adequate protection to safeguard patient privacy and to increase …
Generating and evaluating cross‐sectional synthetic electronic healthcare data: Preserving data utility and patient privacy
Electronic healthcare record data have been used to study risk factors of disease, treatment
effectiveness and safety, and to inform healthcare service planning. There has been …
effectiveness and safety, and to inform healthcare service planning. There has been …
The disclosure of diagnosis codes can breach research participants' privacy
Objective De-identified clinical data in standardized form (eg, diagnosis codes), derived from
electronic medical records, are increasingly combined with research data (eg, DNA …
electronic medical records, are increasingly combined with research data (eg, DNA …
Anonymization of longitudinal electronic medical records
Electronic medical record (EMR) systems have enabled healthcare providers to collect
detailed patient information from the primary care domain. At the same time, longitudinal …
detailed patient information from the primary care domain. At the same time, longitudinal …
A methodology for the pseudonymization of medical data
T Neubauer, J Heurix - International journal of medical informatics, 2011 - Elsevier
PURPOSE: E-health enables the sharing of patient-related data whenever and wherever
necessary. Electronic health records (EHRs) promise to improve communication between …
necessary. Electronic health records (EHRs) promise to improve communication between …
Automatic de-identification of textual documents in the electronic health record: a review of recent research
Abstract Background In the United States, the Health Insurance Portability and
Accountability Act (HIPAA) protects the confidentiality of patient data and requires the …
Accountability Act (HIPAA) protects the confidentiality of patient data and requires the …
Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies
CA Kushida, DA Nichols, R Jadrnicek, R Miller… - Medical care, 2012 - journals.lww.com
Background: De-identification and anonymization are strategies that are used to remove
patient identifiers in electronic health record data. The use of these strategies in multicenter …
patient identifiers in electronic health record data. The use of these strategies in multicenter …
[图书][B] Anonymizing health data: case studies and methods to get you started
K El Emam, L Arbuckle - 2013 - books.google.com
Updated as of August 2014, this practical book will demonstrate proven methods for
anonymizing health data to help your organization share meaningful datasets, without …
anonymizing health data to help your organization share meaningful datasets, without …
State-of-the-art anonymization of medical records using an iterative machine learning framework
Objective: The anonymization of medical records is of great importance in the human life
sciences because a de-identified text can be made publicly available for non-hospital …
sciences because a de-identified text can be made publicly available for non-hospital …