Rachel Roiland
Biographic Data
| ID | 5544739 |
|---|---|
| NAME | Rachel Roiland |
| GIVEN NAMES | Rachel |
| FAMILY NAME | Roiland |
| SIGNATURE | ROILAND R |
| AFFILIATIONS | United States Department of Veterans Affairs |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 0 |
Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction
BACKGROUND: Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. OBJECT…
No prominent works on this page.
Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction
BACKGROUND: Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. OBJECT…
Abstraction (1 work) · Adaptation (eye) (1 work) · Big data (1 work) · Computer Science (1 work) · Data mining (1 work) · Documentation (1 work) · Electronic Health Records Systems (1 work) · Hospital Admissions and Outcomes (1 work) · Machine Learning in Healthcare (1 work) · Medical record (1 work)