… ’ data in electronic patient records (EPRs) by healthcare … patient’s information (eg
abbreviation, terminology, etc.). Thus, retrieving data from such source (text) by using SQL (Structured …

… proportion of structured fields for data entry, while … data quality is focused on the structured
data elements within the three EMR datasets – not the narrative or notes portion of the record. …

… typed their own progress notes into unstructured text boxes. More advanced users typed
data into templates (electronic forms) that included physical exam and documentation prompts. …

… of fine-grained access control policies working on semi-structured electronic health records.
In more detail, the strong points of the proposed framework can be summarized as follows. …

… -patient encounter [3, 7]. The need for systems that allow and encourage … data entry by
physicians is well known. The Institute of Medicine's Committee on Improving the Patient Record …

… generic sense to include both electronic medical records and computerized medical … entry
methods in the analysis and retrieval of structured data. Other benefits are seen with data entry…

… Objective Our objective was to develop algorithms to identify lupus clinical classification
criteria attributes using structured data found in the electronic health record (EHR) and …

… Unstructured data represent about 80% of total EHR data, but … unstructured text data in
EHRs and newer neural, deep-learning based methods used to leverage this type of data…

… One strategy, already touched upon, is to maximize structured data entry and minimize free
text. A second is to build into the EMR rules-based paradigms allowing one to infer higher …

… summaries as templates for dictation/data entry into the final pathology report. … entry of
standardized data directly into a laboratory information system and/or electronic health record …