ELECTRONIC INFORMATION SYSTEMS IN MEDICINE AND BIOLOGY: GENERAL ANALYSIS
Background. In present publication we generalized and analyzed the experience of electronic information systems with databases use in medicine and biology, as well as classified observed versions of modern medical and biological information systems for the use of this knowledge for the construction of new information systems. Materials and methods. Methods of comparative theoretical analysis were applied for the results searched in databases of Springer, Academic Press as well as Google Scholar, PubMed, Medine. The studies were done to observe, generalize and analyze the examples of highly developed technical information systems with databases elaborated for medicine and biology. Results. We analyzed briefly the development of ISs idea, examined ISs for medicine, biology from numerous scientific and technical publications (approximately 370). Then we classified such systems, which traditionally refer to both biological and medical sciences. Further we observed different examples of such information systems, as well as systems that have characteristics both medical and biological in order to facilitate the invention of future more advanced their versions. We have demonstrated that several basic types of ISs with databases for medicine, biology can be subdivided. Classifying, we have ordered them according to the number of publications devoted to each type. Conclusion. Following conclusions were done: 1. Medical information systems are characterized by the greatest quantity, diversity and proximity to the practice. 2. Electronic information systems in neurophysiology and biology are characterized by the greater proximity to scientific research. 3. The main focus of the developers is focused now on the development of: medical information systems of general purposes, electronic library systems, electronic systems for work with documents, expert systems, and telecommunicate systems appeared in these lists recently, since the beginning of SARS-CoV-2 (2019-nCoV) pandemic. Other types were represented less than above mentioned ones..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2020 |
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| Enthalten in: |
Medična Informatika ta Inženerìâ - (2020), 2, Seite 111-123 |
| Sprache: |
Englisch ; Russisch ; Ukrainisch |
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| Beteiligte Personen: |
O. M. Klyuchko [VerfasserIn] |
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| Links: |
doaj.org [kostenfrei] |
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| Themen: |
Computer applications to medicine. Medical informatics |
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| Förderinstitution / Projekttitel: |
|
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| PPN (Katalog-ID): |
DOAJ027775801 |
|---|
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| 520 | |a Background. In present publication we generalized and analyzed the experience of electronic information systems with databases use in medicine and biology, as well as classified observed versions of modern medical and biological information systems for the use of this knowledge for the construction of new information systems. Materials and methods. Methods of comparative theoretical analysis were applied for the results searched in databases of Springer, Academic Press as well as Google Scholar, PubMed, Medine. The studies were done to observe, generalize and analyze the examples of highly developed technical information systems with databases elaborated for medicine and biology. Results. We analyzed briefly the development of ISs idea, examined ISs for medicine, biology from numerous scientific and technical publications (approximately 370). Then we classified such systems, which traditionally refer to both biological and medical sciences. Further we observed different examples of such information systems, as well as systems that have characteristics both medical and biological in order to facilitate the invention of future more advanced their versions. We have demonstrated that several basic types of ISs with databases for medicine, biology can be subdivided. Classifying, we have ordered them according to the number of publications devoted to each type. Conclusion. Following conclusions were done: 1. Medical information systems are characterized by the greatest quantity, diversity and proximity to the practice. 2. Electronic information systems in neurophysiology and biology are characterized by the greater proximity to scientific research. 3. The main focus of the developers is focused now on the development of: medical information systems of general purposes, electronic library systems, electronic systems for work with documents, expert systems, and telecommunicate systems appeared in these lists recently, since the beginning of SARS-CoV-2 (2019-nCoV) pandemic. Other types were represented less than above mentioned ones. | ||
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