Medical data analysis and coding using natural language processing techniques in order to derive structured data information

Studies in Health Technology and Informatics

Volumn 190, Issue , 2013, Pages 53-55

  Nikiforou, Aggeliki ^a   Ponirou, Paraskevi ^a   Diomidous, Marianna ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

Controlled Medical Vocabulary; medical data; Natural Language Processing

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA WAREHOUSES; DECISION SUPPORT SYSTEMS; HEALTH CARE; INFORMATION USE; MEDICAL COMPUTING; NATURAL LANGUAGE PROCESSING SYSTEMS; VOCABULARY CONTROL;

CLINICAL DATA WAREHOUSE; CONTROLLED MEDICAL VOCABULARY; MEDICAL DATA; MEDICAL DATA ANALYSIS; NATURAL LANGUAGES; SCIENTIFIC FIELDS; STRUCTURED DATA; VARIOUS TECHNOLOGIES;

MEDICAL INFORMATION SYSTEMS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; CONFERENCE PAPER; CONTROLLED VOCABULARY; DATA BASE; FACTUAL DATABASE; INFORMATION RETRIEVAL; METHODOLOGY; NATURAL LANGUAGE PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; VOCABULARY, CONTROLLED;

EID: 84894248551     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-61499-276-9-53     Document Type: Conference Paper

References (8)

1. W. E. Hammond, P. C. Tang, A Progress Report on Computer-Based Patient Records in the United States. In: R. S. Dick, E. B. Steen, D. E. Detmer, editors. The Computer-Based Patient Record: An Essential Technology for Health Care. Rev ed, National Academies Press, Washington, DC, 1997. URL: http://books. nap. edu/html/computer/commentary. html [accessed 2005 Oct 15].
2. R. Suereth, Developing Natural Language Interfaces: Processing Human Conversations, McGraw-Hill, Inc., New York, NY, 1996.
3. W. R. Hersh, Adding value to the electronic health record through secondary use of data for quality assurance, research, and surveillance, Am J Manag Care 13 (2007), 277-8.
4. L. M. Etheredge, A rapid-learning health system, Health Aff (Millwood) (2007)26, 107-8.
5. J. Cannon, S. Lucci, Transcription and EHRs. Benefits of a blended approach, JAHIMA (2010), 36-40.
6. S. T. Rosenbloom, J. C. Denny, H. Xu et al., Data from clinical notes: A perspective on the tension between structure and flexible documentation, J Am Med Inform Assoc. 18 (2011),181-6.
7. S. M. Meystre, G. K. Savova, K. C. Kipper-Schuler, J. F. Hurdle, Extracting information from textual documents in the electronic health record: a review of recent research, YearbMed Inform (2008), 128-144.
8. P. M. Nadkarni, L. Ohno-Machado, W. W. Chapman, Natural language processing: an introduction, Journal of the American Medical Informatics Association JAMIA 18 (5) (2011),544-551.