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Focusing Informatics Methods in Clinical Medicine and Biomedical Challenges

by Bhavana.K
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 8
Year of Publication: 2010
Authors: Bhavana.K
10.5120/187-323

Bhavana.K . Focusing Informatics Methods in Clinical Medicine and Biomedical Challenges. International Journal of Computer Applications. 1, 8 ( February 2010), 24-31. DOI=10.5120/187-323

@article{ 10.5120/187-323,
author = { Bhavana.K },
title = { Focusing Informatics Methods in Clinical Medicine and Biomedical Challenges },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 8 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 24-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number8/187-323/ },
doi = { 10.5120/187-323 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:45:32.706678+05:30
%A Bhavana.K
%T Focusing Informatics Methods in Clinical Medicine and Biomedical Challenges
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 8
%P 24-31
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Comparing and Contrasting 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 methodological 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, drug discovery and designing 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 sub disciplines at their interface.

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Index Terms

Computer Science
Information Sciences

Keywords

Modeling BMI MIS CPR Interoperability DNA Automata theory AI

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