The article presents an overview of common uses of information technology in medicine and medical diagnostics, also pointing out major obstacles in the process of introducing information technology in the fields above . Information technology tools widely used in medicine include but are not limited to databases, decision algorithms and data processing and mining methods. Major obstacles include heterogeneity of medical data, their complexity and free text descriptions of procedures, diagnoses and interpretations of test results.


data mining; medical data; data processing; heterogenity

Branson A., Hauer T., McClatchey R., Rouglin D., Shamdasani J.: A Data Model for Integrating Heterogeneous Medical Data in the Health-e-Child Project CCS Research Centre Stud Health Technol Inform, 2008.

Ciosa K.J., Moore G.W.: Uniqueness of medical data mining, Artificial Intelligence in Medicine 26, 2002, 1–24.

Hariz M., Adnan M., Husain W.: Data Mining for Medical Systems: A Review, Proceedings International Conference on Advances in Computer and Information Technology - ACIT 2012.

Healey M.P., Jacobson J.E.: Common Medical Diagnoses: An Algorithmic Approach, Saunders, 2006.

Miller M, Rabczenko D, Wojtyniak B.: Epidemiologia w zdrowiu publicznym, Wydawnictwo Lekarskie PZWL, 1/2010.

Mitchell T.M.: Machine Learning McGraw-Hill, 2011.

Morris F. C.: Computer Medical Databases The First Six Decades (1950–2010), Springer, 2011.

Nguyen H.P., Kreinovich V.: Fuzzy Logic and its Applications in Medicine

Phuong N. H., Kreinovich V.: Fuzzy logic and its applications in medicine. Int. J. Med. Inform., 2001.

Salski A., Holsten B., Trepel M.: A fuzzy approach to ecological modelling and data analysis, Handbook of Ecological Modelling and Informatics, Wit Press, 01/2009.

Shortliffe, E.H., Cimino J. J.: Biomedical Informatics Computer Applications in Health Care and Biomedicine, Springer, 2014.

Tarski A.: Introduction to Logic and to theMethodology of Deductive Sciences,Courier Dover Publications, Oxford University Press, 1994.

Wojtusiak J.: Semantic Data Types in Machine Learning from Healthcare Data, Proceedings of the International Conference on Machine Learning and Applications (ICMLA), Florida, 2012.

Zadeh L.A.: Fuzzy sets, Information and Control, 1965.

Published : 2019-12-27

Maciejewski, M. (2019). INFORMATION TECHNOLOGY IMPLEMENTATIONS AND LIMITATIONS IN MEDICAL RESEARCH. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(1), 66-72.

Marcin Maciejewski
Politechnika Lubelska, Instytut Elektroniki i Technik Informacyjnych  Poland