Biomedical data: Their acquisition, storage, and use

Biomedical Informatics: Computer Applications in Health Care and Biomedicine: Fourth Edition

Volumn , Issue , 2014, Pages 39-66

  Shortliffe, Edward H ^a,b   Barnett, G Octo ^c  

^a ARIZONA STATE UNIVERSITY   (United States)

^b NEW YORK ACADEMY OF MEDICINE   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

BIOMEDICAL DATA;

DIGITAL STORAGE;

EID: 84995900293     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4471-4474-8_2     Document Type: Chapter

References (5)

1. Bernstam, E. V., Smith, J. W., & Johnson, T. R. (2010). What is biomedical informatics? Journal of Biomedical Informatics, 43 (1), 104-110. The authors discuss the transformation of data into information and knowledge, delineating the ways in which this focus lies at the heart of the field of biomedical informatics.
2. Klasnja, P., & Pratt, W. (2012). Healthcare in the pocket: mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, 45 (1), 184-198. This review article describes the multiple ways in which both patients and providers are being empowered through the introduction of affordable mobile technologies that manage data and apply knowledge to generate advice.
3. Ohno-Machado, L. (2012). Big science, big data, and a big role for biomedical informatics. Journal of the American Medical Informatics Association, 19, e1. This editorial introduces a special online issue of the Journal of the American Medical Informatics Association in which the rapidly evolving world of biomedical and clinical "big data" challenges are the focus. Papers deal with both translational bioinformatics, in which genomic and proteomic data dominate, and clinical research informatics, in which large clinical and public health datasets are prominent.
4. Patel, V. L., Arocha, J. F., & Kaufman, D. R. (1994). Diagnostic reasoning and medical expertise. Psychology of Learning and Motivation, 31, 187-252. This paper illustrates the role of theory-driven psychological research and cognitive evaluation as they relate to medical decision making and the interpretation of clinical data. See also Chap. 4.
5. Shah, N. H. (2012). Translational bioinformatics embraces big data. Yearbook of Medical Informatics, 7 (1), 130-134. This article reviews the latest trends and major developments in translational bioinformatics, arguing that the field is ready to revolutionize human health and health care using large-scale measurements on individuals. It discusses data-centric approaches that compute on massive amounts of data ("Big Data") to discover patterns and to make clinically relevant predictions, arguing that research that bridges the latest multimodal measurement technologies with large amounts of electronic health care data is where new medical breakthroughs will occur. See also Chap. 25.