Learning from electronic health records : enabling the learning healthcare system
Abstract/Contents
- Abstract
- The widespread adoption of Electronic Health Records (EHRs) is an unprecedented opportunity to expand the evidence base of clinical medicine by embedding data generation and capture in routine clinical care. We present two case studies in which we demonstrate how to use the free text of clinical notes, in combination with domain knowledge, to address problems in post-marketing drug safety and surveillance. We then present evidence that, surprisingly, very simple and scalable methods work as well as more complex methods of extracting information from clinical text for purposes of clinical research.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2015 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Jung, Kenneth |
|---|---|
| Associated with | Stanford University, Program in Biomedical Informatics. |
| Primary advisor | Shah, Nigam |
| Thesis advisor | Shah, Nigam |
| Thesis advisor | Mackey, Lester |
| Thesis advisor | Musen, Mark A |
| Advisor | Mackey, Lester |
| Advisor | Musen, Mark A |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Kenneth Jung. |
|---|---|
| Note | Submitted to the Program in Biomedical Informatics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Kenneth Jung
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...