Literature DB >> 12925552

Bioinformatics and medical informatics: collaborations on the road to genomic medicine?

Victor Maojo1, Casimir A Kulikowski.   

Abstract

In this report, the authors compare and contrast medical informatics (MI) and bioinformatics (BI) and provide a viewpoint on their complementarities and potential for collaboration in various subfields. The authors compare MI and BI along several dimensions, including: (1) historical development of the disciplines, (2) their scientific foundations, (3) data quality and analysis, (4) integration of knowledge and databases, (5) informatics tools to support practice, (6) informatics methods to support research (signal processing, imaging and vision, and computational modeling, (7) professional and patient continuing education, and (8) education and training. It is pointed out that, while the two disciplines differ in their histories, scientific foundations, and methodologic approaches to research in various areas, they nevertheless share methods and tools, which provides a basis for exchange of experience in their different applications. MI expertise in developing health care applications and the strength of BI in biological "discovery science" complement each other well. The new field of biomedical informatics (BMI) holds great promise for developing informatics methods that will be crucial in the development of genomic medicine. The future of BMI will be influenced strongly by whether significant advances in clinical practice and biomedical research come about from separate efforts in MI and BI, or from emerging, hybrid informatics subdisciplines at their interface.

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Year:  2003        PMID: 12925552      PMCID: PMC264428          DOI: 10.1197/jamia.M1305

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  38 in total

1.  Integrating genomics into health information systems.

Authors:  F Martin-Sanchez; V Maojo; G Lopez-Campos
Journal:  Methods Inf Med       Date:  2002       Impact factor: 2.176

2.  Future of medical knowledge management and decision support.

Authors:  Robert A Greenes
Journal:  Stud Health Technol Inform       Date:  2002

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Authors:  A J Wolfe
Journal:  J Hist Biol       Date:  2001       Impact factor: 1.326

4.  Medical informatics and bioinformatics: European efforts to facilitate synergy.

Authors:  V Maojo; I Iakovidis; F Martin-Sanchez; J Crespo; C Kulikowski
Journal:  J Biomed Inform       Date:  2001-12       Impact factor: 6.317

5.  The way of the future.

Authors:  R A Rosati; A G Wallace; E A Stead
Journal:  Arch Intern Med       Date:  1973-02

6.  HELP--a program for medical decision-making.

Authors:  H R Warner; C M Olmsted; B D Rutherford
Journal:  Comput Biomed Res       Date:  1972-02

7.  Time-oriented patient records and a computer databank.

Authors:  J F Fries
Journal:  JAMA       Date:  1972-12-18       Impact factor: 56.272

8.  Medical records that guide and teach.

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Journal:  N Engl J Med       Date:  1968-03-14       Impact factor: 91.245

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Journal:  N Engl J Med       Date:  1984-06-21       Impact factor: 91.245

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Authors:  F T de Dombal; D J Leaper; J R Staniland; A P McCann; J C Horrocks
Journal:  Br Med J       Date:  1972-04-01
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  14 in total

1.  Training multidisciplinary biomedical informatics students: three years of experience.

Authors:  Erik M van Mulligen; Montserrat Cases; Kristina Hettne; Eva Molero; Marc Weeber; Kevin A Robertson; Baldomero Oliva; Guillermo de la Calle; Victor Maojo
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

2.  A curricula-based comparison of biomedical and health informatics programs in the USA.

Authors:  Julia Kampov-Polevoi; Bradley M Hemminger
Journal:  J Am Med Inform Assoc       Date:  2011-02-02       Impact factor: 4.497

3.  A surveillance tool to support quality assurance and research in personalized medicine.

Authors:  Naqi A Khan; Josh F Peterson
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 4.  Incorporating collaboratory concepts into informatics in support of translational interdisciplinary biomedical research.

Authors:  E Sally Lee; David W McDonald; Nicholas Anderson; Peter Tarczy-Hornoch
Journal:  Int J Med Inform       Date:  2008-08-15       Impact factor: 4.046

5.  Locating previously unknown patterns in data-mining results: a dual data- and knowledge-mining method.

Authors:  Mir S Siadaty; William A Knaus
Journal:  BMC Med Inform Decis Mak       Date:  2006-03-07       Impact factor: 2.796

6.  Nanoinformatics: developing new computing applications for nanomedicine.

Authors:  V Maojo; M Fritts; F Martin-Sanchez; D De la Iglesia; R E Cachau; M Garcia-Remesal; J Crespo; J A Mitchell; A Anguita; N Baker; J M Barreiro; S E Benitez; G De la Calle; J C Facelli; P Ghazal; A Geissbuhler; F Gonzalez-Nilo; N Graf; P Grangeat; I Hermosilla; R Hussein; J Kern; S Koch; Y Legre; V Lopez-Alonso; G Lopez-Campos; L Milanesi; V Moustakis; C Munteanu; P Otero; A Pazos; D Perez-Rey; G Potamias; F Sanz; C Kulikowski
Journal:  Comput Sci Eng       Date:  2012-03-07       Impact factor: 2.080

Review 7.  Biomedical informatics for computer-aided decision support systems: a survey.

Authors:  Ashwin Belle; Mark A Kon; Kayvan Najarian
Journal:  ScientificWorldJournal       Date:  2013-02-04

8.  Knowledge structure of korean medical informatics: a social network analysis of articles in journal and proceedings.

Authors:  Senator Jeong; Soo Kyoung Lee; Hong-Gee Kim
Journal:  Healthc Inform Res       Date:  2010-03-31

9.  Nanoinformatics: a new area of research in nanomedicine.

Authors:  Victor Maojo; Martin Fritts; Diana de la Iglesia; Raul E Cachau; Miguel Garcia-Remesal; Joyce A Mitchell; Casimir Kulikowski
Journal:  Int J Nanomedicine       Date:  2012-07-24

10.  Personal health records in the preclinical medical curriculum: modeling student responses in a simple educational environment utilizing Google Health.

Authors:  Dimokratis A Karamanlis; Panagiotis M Tzitzis; Charalampos A Bratsas; Panagiotis D Bamidis
Journal:  BMC Med Educ       Date:  2012-09-25       Impact factor: 2.463

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