Literature DB >> 16783609

Potential impact of advanced clinical information technology on cancer care in 2015.

Dean F Sittig1.   

Abstract

New clinical information technologies now sporadically available will soon be in routine clinical use, bringing many changes to all phases of the cancer care continuum. For example, new technologies such as: (1) The next generation Internet; (2) Real-time clinical decision support systems; (3) Off-line, population-based systems; (4) Large, integrated, individual patient-level phenotypic and genotypic databases with intelligent data mining capabilities; (5) Wireless, invasive and non-invasive physiologic monitoring devices; (6) Natural Language Processing (NLP) systems; and (7) Mathematical models of complex biological systems all have the potential to impact significantly the provision of cancer care throughout its continuum. While new information management and communication techniques and technologies will reduce many of the inefficiencies and inaccuracies of our present systems, there will be an equal, and potentially far more dangerous, set of unintended consequences. Informatics investigators, cancer specialists, and health system administrators must focus on the study of what is working and what is not, as well as, on development and testing of the new clinical information management and communication technologies, if we are to be ready for the future.

Entities:  

Mesh:

Year:  2006        PMID: 16783609     DOI: 10.1007/s10552-006-0020-z

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  4 in total

Review 1.  Future Research in Health Information Technology: A Review.

Authors:  Morteza Hemmat; Haleh Ayatollahi; Mohammad Reza Maleki; Fatemeh Saghafi
Journal:  Perspect Health Inf Manag       Date:  2017-01-01

2.  Citation analysis of the prognosis of Haux et al. for the year 2013.

Authors:  Jürgen Stausberg
Journal:  J Med Syst       Date:  2014-07       Impact factor: 4.460

Review 3.  Improving modern cancer care through information technology.

Authors:  Steven B Clauser; Edward H Wagner; Erin J Aiello Bowles; Leah Tuzzio; Sarah M Greene
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

4.  Piloting electronic screening forms in primary care: findings from a mixed methods study to identify patients eligible for low dose CT lung cancer screening.

Authors:  Mary Ann O'Brien; Frank Sullivan; Andrea Carson; Rabiya Siddiqui; Saddaf Syed; Lawrence Paszat
Journal:  BMC Fam Pract       Date:  2017-11-28       Impact factor: 2.497

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.