Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients

Author:

Moon Sungrim,Liu Sijia,Chen David,Wang Yanshan,Wood Douglas L.,Chaudhry Rajeev,Liu Hongfang,Kingsbury Paul

Funder

U.S. National Library of Medicine

National Center for Advancing Translational Sciences

National Institute of General Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Health Informatics,Information Systems

Reference40 articles.

1. Centers for Medicare & Medicaid Services (US). 42 CFR Parts 412, 413, 422 et al (2010) Medicare and Medicaid Programs; Electronic Health Records Incentive Program; Final Rule. Fed Regist 75(144):44314–44588

2. Vest JR, Zhao H, Jaspserson J, Gamm LD, Ohsfeldt RL (2011) Factors motivating and affecting health information exchange usage. J Am Med Inform Assoc 18(2):143–149

3. Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW (2007) Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. Jama 297(8):831–841

4. Tafti AP, et al (2016) OCR as a service: an experimental evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, in Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12–14, 2016, Proceedings, Part I, G. Bebis, et al., editors, Springer International Publishing: Cham. p. 735–746

5. Rasmussen LV (2014) The electronic health record for translational research. J Cardiovasc Transl Res 7(6):607–614

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