Ways to improve the efficiency of implementing artificial intelligence systems in medical practice
BACKGROUND: The medical market offers interesting solutions that use artificial intelligence (AI) technologies; however, such solutions often remain at the startup level or are used locally. The question is how to achieve the maximum when introducing AI systems into medical practice. AIM: To answ...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Eco-Vector
2023-06-01
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| Series: | Digital Diagnostics |
| Subjects: | |
| Online Access: | https://jdigitaldiagnostics.com/DD/article/viewFile/430376/125026 |
| _version_ | 1797755218092359680 |
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| author | Marina A. Shmonova Tatyana G. Avacheva |
| author_facet | Marina A. Shmonova Tatyana G. Avacheva |
| author_sort | Marina A. Shmonova |
| collection | DOAJ |
| description | BACKGROUND: The medical market offers interesting solutions that use artificial intelligence (AI) technologies; however, such solutions often remain at the startup level or are used locally. The question is how to achieve the maximum when introducing AI systems into medical practice.
AIM: To answer the question of why the large number of existing developments in AI and medical decision support systems are not used as widely as medical information systems, telemedical consultations, and other health IT solutions. Possible ways to improve the efficiency of implementing AI technologies and medical decision support systems in the work of physicians were presented.
METHODS: Theoretical and general scientific (analysis of literature and Internet sources on the problem of research, synthesis, generalization, comparison, and systematization) and empirical (observation, interview, and testing) methods were used.
RESUTLS: The main barriers to the effective implementation of AI systems in medical practice and possible options to solve the following problems were highlighted.
Problem 1: incorrect data collection. Solution: care must be taken with the accumulation of materials used for the analysis and training by AI systems in medicine.
Problem 2: incompetent developers. Solutions: involvement of effective third-party specialists or training ones own.
Problem 3: medical workers and/or patients aversion to AI technologies. Solutions: education in the successful application of AI technologies and medical decision support systems in healthcare and involvement of practicing physicians as experts during the AI conceptualization.
CONCLUSIONS: If the above criteria for the development and use of AI technologies and medical decision support systems are met, the effect of their introduction into medical practice will tend to be maximized. |
| first_indexed | 2024-03-12T17:43:41Z |
| format | Article |
| id | doaj.art-6c38092fdab4465b9776a12e86db6993 |
| institution | Directory Open Access Journal |
| issn | 2712-8490 2712-8962 |
| language | English |
| last_indexed | 2024-03-12T17:43:41Z |
| publishDate | 2023-06-01 |
| publisher | Eco-Vector |
| record_format | Article |
| series | Digital Diagnostics |
| spelling | doaj.art-6c38092fdab4465b9776a12e86db69932023-08-03T20:08:46ZengEco-VectorDigital Diagnostics2712-84902712-89622023-06-0141S14815010.17816/DD43037676531Ways to improve the efficiency of implementing artificial intelligence systems in medical practiceMarina A. Shmonova0https://orcid.org/0000-0001-9308-8766Tatyana G. Avacheva1https://orcid.org/0000-0002-2099-655XRyazan State Medical University named after academician I.P. PavlovRyazan State Medical University named after academician I.P. PavlovBACKGROUND: The medical market offers interesting solutions that use artificial intelligence (AI) technologies; however, such solutions often remain at the startup level or are used locally. The question is how to achieve the maximum when introducing AI systems into medical practice. AIM: To answer the question of why the large number of existing developments in AI and medical decision support systems are not used as widely as medical information systems, telemedical consultations, and other health IT solutions. Possible ways to improve the efficiency of implementing AI technologies and medical decision support systems in the work of physicians were presented. METHODS: Theoretical and general scientific (analysis of literature and Internet sources on the problem of research, synthesis, generalization, comparison, and systematization) and empirical (observation, interview, and testing) methods were used. RESUTLS: The main barriers to the effective implementation of AI systems in medical practice and possible options to solve the following problems were highlighted. Problem 1: incorrect data collection. Solution: care must be taken with the accumulation of materials used for the analysis and training by AI systems in medicine. Problem 2: incompetent developers. Solutions: involvement of effective third-party specialists or training ones own. Problem 3: medical workers and/or patients aversion to AI technologies. Solutions: education in the successful application of AI technologies and medical decision support systems in healthcare and involvement of practicing physicians as experts during the AI conceptualization. CONCLUSIONS: If the above criteria for the development and use of AI technologies and medical decision support systems are met, the effect of their introduction into medical practice will tend to be maximized.https://jdigitaldiagnostics.com/DD/article/viewFile/430376/125026artificial intelligencemedical decision support systemsmedicine |
| spellingShingle | Marina A. Shmonova Tatyana G. Avacheva Ways to improve the efficiency of implementing artificial intelligence systems in medical practice Digital Diagnostics artificial intelligence medical decision support systems medicine |
| title | Ways to improve the efficiency of implementing artificial intelligence systems in medical practice |
| title_full | Ways to improve the efficiency of implementing artificial intelligence systems in medical practice |
| title_fullStr | Ways to improve the efficiency of implementing artificial intelligence systems in medical practice |
| title_full_unstemmed | Ways to improve the efficiency of implementing artificial intelligence systems in medical practice |
| title_short | Ways to improve the efficiency of implementing artificial intelligence systems in medical practice |
| title_sort | ways to improve the efficiency of implementing artificial intelligence systems in medical practice |
| topic | artificial intelligence medical decision support systems medicine |
| url | https://jdigitaldiagnostics.com/DD/article/viewFile/430376/125026 |
| work_keys_str_mv | AT marinaashmonova waystoimprovetheefficiencyofimplementingartificialintelligencesystemsinmedicalpractice AT tatyanagavacheva waystoimprovetheefficiencyofimplementingartificialintelligencesystemsinmedicalpractice |