TY - THES N2 - The 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. DO - 10.6083/m4f47nq5 DO - DOI AB - The 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. T1 - Can natural language processing improve healthcare quality by early identification of coronary artery disease risk factors from unstructured clinical data? DA - 2017 AU - Mishra, Raghav L1 - https://digitalcollections.ohsu.edu/record/7631/files/Mishra.Raghavendra.2017.pdf PB - Oregon Health and Science University PY - 2017 ID - 7631 L4 - https://digitalcollections.ohsu.edu/record/7631/files/Mishra.Raghavendra.2017.pdf KW - Heart Diseases KW - Natural Language Processing KW - Quality of Health Care KW - Electronic Health Records TI - Can natural language processing improve healthcare quality by early identification of coronary artery disease risk factors from unstructured clinical data? Y1 - 2017 L2 - https://digitalcollections.ohsu.edu/record/7631/files/Mishra.Raghavendra.2017.pdf LK - https://digitalcollections.ohsu.edu/record/7631/files/Mishra.Raghavendra.2017.pdf UR - https://digitalcollections.ohsu.edu/record/7631/files/Mishra.Raghavendra.2017.pdf ER -