Electronic health records (EHRs) allow physicians writing these notes to supplement traditional manual data entry with copied or imported text. However, copying or...
Resources tagged with: Electronic Health Records/Electronic Medical Records
Characterizing the source of text in electronic health record progress notes
Article
The Evolving Medical Record
Changes in record format, designed to manage increasing volumes of data, and physicians' responses to those changes parallel some of the contemporary threats to...
Article
Performance of a natural language processing (NLP) tool to extract pulmonary function test (PFT) reports from structured and semistructured Veteran Affairs (VA) data
Pulmonary function tests (PFTs) are objective estimates of lung function, but are not reliably stored within the Veteran Health Affairs data systems as structured...
Article
Natural language processing to ascertain two key variables from operative reports in ophthalmology
The following study performed natural language processing (NLP) of 743,838 operative notes recorded for 315,246 surgeries to ascertain two variables needed to study...
Article
Natural language processing-enabled and conventional data capture methods for input to electronic health records: A comparative usability study
The following study evaluates the comparative effectiveness of an NLP-enabled data capture method using dictation and data extraction from transcribed documents...
Peer-Reviewed Literature
Health IT safe practices: toolkit for the safe use of copy and paste
The Partnership for Health IT Patient Safety published a report around the safe use of copy and paste in clinical documentation. It makes four key recommendations:...
Toolkit
Transforming clinical documentation in EHRs for 2020: Recommendations from University of Minnesota鈥檚 big data conference working group
In 2014, a group of diverse informatics leaders from practice, academia, and the software industry formed to address how best to transform electronic documentation...
Briefs and Summaries
Evolutionary pressures on the electronic health record: Caring for complexity
The following perspective piece, published in JAMA, discusses the escalating clinical complexity in the practice of medicine, due to the dependence on technology...
Opinion Piece/Short Communication
Using machine learning and natural language processing algorithms to automate the evaluation of clinical decision support in electronic medical record systems
The authors of the following study use machine learning and Natural Language Processing (NLP) algorithms to accurately evaluate a clinical decision support rule...
Article
The impact of university provided nurse electronic medical record training on health care organizations: An exploratory simulation approach
Training providers appropriately, particularly early in their caregiving careers, is an important aspect of electronic medical record (EMR) implementation which...
Article
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