CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Focusing Informatics Methods in Clinical Medicine and Biomedical Challenges

by Bhavana.K
journal cover thumbnail

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.

References
  1. Lander ES, Linton LM, Birren B, et al. Initial Sequencing and analysis of the human genome. Nature. 2001; 409:860– 921. [Pub Med]
  2. Altman R. Bioinformatics in support of molecular Medicine. In: Chute CG. (Ed.). Proc AMIA Symp 1998:53–61.
  3. Sander C. Genomic medicine and the future of health Care. Science. 2000; 287:1977–8. [Pub Med]
  4. . Kohane I. Bioinformatics and clinical informatics: the Imperative to collaborate. J Am Med Inform Assoc. 2000; 7:439–43. [Pub Med]
  5. Kulikowski C. The micro-macro spectrum of medical Informatics. Challenges: from molecular medicine to Transforming health care in a globalizing society. Methods Info Med. 2001; 41:20–4.
  6. Miller P. Opportunities at the intersection of Bioinformatics and health informatics. J Am Med Inform Assoc. 2000; 7:431–8. [Pub Med]
  7. Collins FS, Guttmacher AE. Genetics moves into the medical mainstream. JAMA. 2001; 286:2322–4.]
  8. McDonald CJ. Hick am 2000. The maturation of, and Linkages between, medical informatics and Bioinformatics. J Lab Clin Med. 2001; 138:359–66. [Pub Med]
  9. Musen M, van Bemmel J (Eds). Challenges in Medical Informatics. Successes and Failures. Shortliffe, EH: IMIA Satellite Working Conference,Mar 29-31;2001.
  10. Stead W. The challenge of bridging between Disciplines [editorial]. J Am Med Inform Assoc.2001; 8:105. [Pub Med]
  11. Maojo V, Martin-Sanchez F, Crespo J, Iakovodis I, Kulikowsli C. Medical informatics and Bioinformatics: European efforts to facilitate synergy. Brief report. J Biomed Inform. 2001; 34:423–7. [Pub Med]
  12. Martin-Sanchez F (project coordinator). BIOINFOMED. Prospective Analysis on the Relationships and Synergy between Medical Informatics and Bioinformatics. Brussels: European Commission, 2002.
  13. Barnett GO. The application of computer-based Medical record systems in ambulatory practice. N Engl J Med. 1984; 310:1643–50. [Pub Med]
  14. McDonald CJ, Overhage JM, Tierney WM, et al. The Regenstrief medical record system: a quarter century experience. Int J Med Inform. 1999; 54:225–53. [PubMed]
  15. Kuperman GJ, Gardner RM, Pryor TA. HELP: A Dynamic Hospital Information System. New York: Springer-Verlag, 1991.
  16. Shortiffe EH, Perreault L, Fagan L, Wiederhold G (eds). Medical Informatics. Computer Applications in Health Care (ed 2). New York: Springer Verlag, 2001.
  17. Weed LL. Medical records that guide and teach. N Engl J Med. 1968; 278:593–9. [PubMed]
  18. Ledley RS, Lusted L. Reasoning foundations of medical diagnosis. Science. 1959; 130:9–21. [Pub Med]
  19. Warner HR, Olmsted CM, Rutherford BD. HELP—A Program for medical decision-making. Comp Biome Res. 1972; 5:65–74.
  20. De Dom BAL FT, Leaper DJ, Stan land JR, McCann AP, Horrocks JC. Computer-aided diagnosis of acute abdominal pain. Br Med J. 1972; 2:9–13. [Pub Med]
  21. Kulikowski C, Weiss S. Computer-based Models of Glaucoma. Report no 3. Department of Computer Science, Computers in Biomedicine. New Brunswick, NJ: Rutgers University, 1971.
  22. Shortliffe EH. Computer-Based Medical Consultations: MYCIN. New York: Elsevier, 1976.
  23. Gorry GA. A System for Computer-Aided Diagnosis. Report no. MAC-44. Project MAC. Cambridge, MA: Massachusetts Institute of Technology, 1968.
  24. Pople H, Myers J, Miller R. DIALOG: A Model of Diagnostic Logic for Internal Medicine. In: Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Cambridge, MA: Massachusetts Institute of Technology, AI Laboratory, 1975, pp 845–55.
  25. Szolovits P, Pauker SG. Categorical and probabilistic Reasoning in medical diagnosis. Artif Intell. 1978; 11:115–44.
  26. Rosati RA, Wallace GG, Stead EA. The way of the Future. Arch Intern Med. 1973; 131:285–8.
  27. Fries J. Time oriented patient records and a computer Data bank. JAMA. 1972; 222:1436–542.
  28. Lindberg DA, Siegel ER, Rapp BA, Wallingford KT, Wilson SR. Use of MEDLINE by physicians for clinical problem solving. JAMA. 1993; 269:3124–9. [PubMed]
  29. Lindberg C. The Unified Medical Language System (UMLS) of the National Library of Medicine. J Am Med Rec Assoc. 1990; 61(5):40–2.
  30. Cimino JJ, Patel VL, Kushniruk AW. Studying the Human–computer–terminology interface. J Am Med Inform Assoc. 2001; 8:163–73. [Pub Med]
  31. Ouzounis C. Two or three myths about Bioinformatics [editorial]. Bioinformatics. 2000; 16:187–9. [Pub Med]
  32. Mount D. Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory, 2001.
  33. Baxevanis AD, Ouellette BF (Eds). Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins. New York: Wiley and Sons, 1998.
  34. Pearson W. Training for bioinformatics and Computational biology. Bioinformatics. 2001; 17:761–2. [Pub Med]
  35. Altman R. The interactions between clinical Informatics and bioinformatics. J Am Med Inform Assoc. 2000; 7:439–43. [Pub Med]
  36. Kay L. Who Wrote the Book of Life: A History of The Genetic Code. Stanford: Stanford University Press, 2000.
  37. Crick FHC. The Biological Replication of Macromolecules. Symp Soc Exp Biol. 1958; XII:138.
  38. Hodgkin AL, Huxley AF. A quantitative description Of membrane current and its application to Conduction and excitation in nerve. J Physiol. 1952; 117:500–44. [Pub Med]
  39. Mohler RR, Bruni C, Gandolfi A. A System Approach to Immunology. Proc IEEE. 1978; 68:964–90.
  40. Garland LH, Miller ER, Swerling HB, et al. Studies on value of serial films in estimating progress of Pulmonary disease. Radiology. 1952; 58:161–77. [Pub Med]
  41. Blum B, Duncan K (Eds). A History of Medical Informatics. Reading: Addison Wesley, 1990.
  42. Collen M. A History of Medical Informatics in the United States: 1950 to 1990. American Medical Informatics Association. Bethesda: Hartman Publishing, 1995.
  43. Lander ES, Waterman MS (Eds). Calculating the Secrets of Life: Contributions of the Mathematical Sciences to Molecular Biology. Washington, DC: National Academy Press, 1995.
  44. Weatherall D. Science and the Quiet Art. Medical Research & Patient Care. Oxford: Oxford University Press, 1995.
  45. Sackets D. Evidence-Based Medicine: How to Practice & Teach Ebm. New York: Harcourt Brace, 1997.
  46. Ross D. Introduction to Molecular Medicine. New York: Springer Verlag, 2002.
  47. Bauer M, Ringel A. Telemedicine and the Reinvention of Healthcare (Healthcare Informatics Executive Management Series). New York: McGraw-Hill Professional, 1999.
  48. Edwards RT. Paradigms and research programmes: is it time to move from health care economics to health economics?. Health Econ. 2001; 10:635–49. [Pub Med]
  49. Greenes R. Future of medical knowledge Management and decision support. Stud Health Technol Inform. 2002; 80:29–44. [Pub Med]
  50. Martín-Sanchez F, Maojo V, Lopez-Campos G. Integrating genomics into health information Systems. Methods Info Med. 2002; 41:25–30. [PubMed]
  51. Musen M. Domain ontology’s in software Engineering: Use of Protege with the EON Architecture. Methods INF Med. 1998; 37:540–550. [Pub Med]
  52. Hamosh A, Scott AF, Amberger J, Valle D, McKusick VA. Online Mendelian Inheritance in Man (OMIM). Hum Mutat. 2000; 15(1):57–61. [Pub Med]
  53. Rosse C, Shapiro LG, Brinkley JF. The digital Anatomist foundational model: principles for Defining and structuring its concept domain. Proc AMIA Symp. 1998; 15:820–4.
  54. The Gene Ontology Consortium. Gene ontology: tool for the unification of biology. Nat Genet. 2000; 25:25–9. [Pub Med]
  55. Annas GJ. Rules for research on human genetic Variation—lessons from Iceland. N Engl J Med. 2000; 342:1830–3. [Pub med]
  56. de Groen PC. In: Renee Berg. A healthy database; IBM creating a system for millions of Mayo Clinic Patient files. Post-Bulletin, Rochester, MN, Mar 25; 2002.
  57. Buchanan B, Shortliffe EH. Rule-Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project. New York: Addison- Wesley, 1984.
  58. Juvan P, Zupan B, Demsar J, et al. Web-Enabled Knowledge-Based Analysis of Genetic Data. Crespo J, Maojo V, Martin-Sanchez F (eds). Medical Data Analysis. Lecture Notes in Computer Science 2199. New York: Springer Verlag, 2001.
  59. . Kuipers BJ. Qualitative simulation as causal Explanation. IEEE Trans Syst Man Cybernet. 1987; 17:432.
  60. Lucas PIF. The representation of medical reasoning Models in resolution-based theorem provers. Artif Intell Med. 1993; 5:395. [Pub Med]
  61. Kassirer J, Kopelman R. Learning Clinical Reasoning. Philadelphia: Lippincott, Williams & Wilkins, 1991.
  62. Hagen J. The origins of bioinformatics. Nat Rev Genet. 2000; 1:231–6. [PubMed]
Index Terms

Computer Science
Information Sciences

Keywords

Modeling BMI MIS CPR Interoperability DNA Automata theory AI

Powered by PhDFocusTM