Literature DB >> 16848128

Characterizing cancer information systems.

Roy Rada1.   

Abstract

The objective is to determine the extent to which information systems (IS) for cancer are unique and necessary. Via an analysis of Medical Subject Headings used to index relevant literature and other bibliometric techniques, cancer IS are compared and contrasted with IS of other specialties. Cancer IS are relatively little discussed and primarily connect radiation equipment with the radiation oncology staff. By contrast, clinical laboratory and radiology IS are frequently discussed and connect specialized equipment to the hospital. A "Specialty Need" model accounts for these patterns and says that the "need for a specialty IS" is proportional to the "uniqueness of the specialty tools" plus the "degree to which the information from those tools is needed throughout the particular health care entity".

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Year:  2006        PMID: 16848128     DOI: 10.1007/s10916-005-7993-0

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.920


  14 in total

1.  Medical informatics as a discipline at the beginning of the 21st century.

Authors:  J L Talmon; A Hasman
Journal:  Methods Inf Med       Date:  2002       Impact factor: 2.176

Review 2.  Lessons learned from a whole hospital PACS installation. Picture Archiving and Communication System.

Authors:  J R Pilling
Journal:  Clin Radiol       Date:  2002-09       Impact factor: 2.350

3.  Organizing oncology. New software targets cancer therapy.

Authors:  Alan Joch
Journal:  Healthc Inform       Date:  2003-10

4.  Knowledge discovery by automated identification and ranking of implicit relationships.

Authors:  Jonathan D Wren; Raffi Bekeredjian; Jelena A Stewart; Ralph V Shohet; Harold R Garner
Journal:  Bioinformatics       Date:  2004-01-22       Impact factor: 6.937

5.  I.T. helps battle 'the big C'.

Authors:  Bill Briggs
Journal:  Health Data Manag       Date:  2004-05

Review 6.  Information technology in the future of health care.

Authors:  Myron Hatcher; Irene Heetebry
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

7.  Computer technology and clinical work: still waiting for Godot.

Authors:  Robert L Wears; Marc Berg
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

8.  Using literature-based discovery to identify disease candidate genes.

Authors:  Dimitar Hristovski; Borut Peterlin; Joyce A Mitchell; Susanne M Humphrey
Journal:  Int J Med Inform       Date:  2005-03       Impact factor: 4.046

9.  The aging of a clinical information system.

Authors:  Roy Rada; Scott Finley
Journal:  J Biomed Inform       Date:  2004-10       Impact factor: 6.317

10.  A therapy planning architecture that combines decision theory and artificial intelligence techniques.

Authors:  C P Langlotz; L M Fagan; S W Tu; B I Sikic; E H Shortliffe
Journal:  Comput Biomed Res       Date:  1987-06
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  1 in total

1.  Cisplatin for small cell lung cancer: Associated publications in Science Citation Index Expanded.

Authors:  Yuh-Shan Ho; Kensuke Nakazawa; Shinya Sato; Tomohiro Tamura; Koichi Kurishima; Hiroaki Satoh
Journal:  Oncol Lett       Date:  2012-11-15       Impact factor: 2.967

  1 in total

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