000007631 001__ 7631
000007631 005__ 20231129124932.0
000007631 0247_ $$2DOI$$a10.6083/m4f47nq5
000007631 037__ $$aETD
000007631 245__ $$aCan natural language processing improve healthcare quality by early identification of coronary artery disease risk factors from unstructured clinical data?
000007631 260__ $$bOregon Health and Science University
000007631 269__ $$a2017
000007631 336__ $$aThesis
000007631 502__ $$bM.B.I.
000007631 520__ $$aThe HITECH health information technology for economic and clinical health act was signed into law in 2009 as a part of the economic stimulus package formally known as American recovery and reinvestment (ARRA)(4). The primary focus of HIETCH act was to stimulate the adoption of Electronic Health Records (EHR) to promote patient safety(5). In addition to making clinical data available real time for a wide range of activities such as research, regulatory reporting and resource utilization, the transition of health records from paper to electronic medium also facilitated addition of key EHR functionalities such as clinical decision support for quality improvement.
000007631 650__ $$aHeart Diseases$$019937
000007631 650__ $$aNatural Language Processing $$022716
000007631 650__ $$aQuality of Health Care $$025031
000007631 650__ $$aElectronic Health Records $$038928
000007631 691__ $$aSchool of Medicine$$041369
000007631 7001_ $$aMishra, Raghav
000007631 8564_ $$94d8c2704-20bb-450d-8a9a-90feee0fe4d7$$s1139227$$uhttps://digitalcollections.ohsu.edu/record/7631/files/Mishra.Raghavendra.2017.pdf
000007631 905__ $$a/rest/prod/k3/56/94/82/k35694820
000007631 909CO $$ooai:digitalcollections.ohsu.edu:7631$$pstudent-work
000007631 980__ $$aTheses and Dissertations