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 …

Objective: Patient notes in electronic health records (EHRs) may contain critical information
for medical investigations. However, the vast majority of medical investigators can only …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

To facilitate and survey studies in automatic de-identification, as a part of the i2b2
(Informatics for Integrating Biology to the Bedside) project, authors organized a Natural …

Background Text-based patient medical records are a vital resource in medical research. In
order to preserve patient confidentiality, however, the US Health Insurance Portability and …

Objective: Develo** clinical natural language processing systems often requires access to
many clinical documents, which are not widely available to the public due to privacy and …

Unstructured data in the electronic health records contain essential patient information.
Natural language processing (NLP), teaching a computer to read, allows us to tap into these …

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 …

OBJECTIVES: To reduce unnecessary lab testing by predicting when a proposed future lab
test is likely to contribute information gain and thereby influence clinical management in …

The presence of personally identifiable information (PII) in natural language portions of
electronic health records (EHRs) constrains their broad reuse. Despite continuous …