TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Revolutionizing medical research with statistical analysis and management information systems integration

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pp. 1211–1220Vol. 46Issue 4-BMay 2025DOI: 10.47974/JIOS-1904XML
Received:
15 Oct 2024
Published Online:
31 May 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1904
Pages:
1211–1220

Abstract

Statistical analysis and strong management information systems (MIS) can work together to change the way medical research is done in a field that is changing quickly. This outline explains how this merging has changed the way medical study is done and the results that are found. By using statistical analysis, researchers can get useful information from large datasets. This lets people make decisions based on facts and makes results more reliable and repeatable. Adding MIS makes it easier to collect, store, and get data. This makes it easier for researchers from different fields to work together and makes better use of resources. By working together, statistical analysis and MIS integration make it easier for researchers to work with large, complicated healthcare datasets. Researchers can also find secret trends, find new biomarkers, and speed up the process of medical finding by using advanced analytics methods like machine learning and prediction modelling. This piece stresses how important it is for medical research institutions to accept this paradigm shift, pointing out the chances to improve patient results, speed up drug development, and make precision medicine more useful. Combining statistical analysis and MIS integration is a key part of new ideas and progress in medical study as the era of data-driven healthcare moves forward.

Keywords

Subject Classifications

68Q25

References

[1] N. Fitriani, R. F. Rachmadi and P. H. Mukti, “Knowledge Management Integration in Hospital Management Information System (SIMRS) Implementation in XYZ Hospital,” 2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Purwokerto, Indonesia, pp. 191-196 (2023).
[2] K. I. Porsev and A. V. Sorokin, “Management of Innovations and Knowledge in the Structure of the Enterprise Integrated Information Environment”, 2020 International Conference Quality Management Transport and Information Security Information Technologies (IT&QM&IS) (2020).
[3] S. Abbate, P. Centobelli, R. Cerchione, E. Oropallo and E. Riccio, “Investigating Healthcare 4.0 Transition Through a Knowledge Management Perspective”, IEEE Transactions on Engineering Management, vol. 70, no. 9, pp. 3297-3310 (2023).
[4] S. Ejaz, S. A. Kha and F. Hussain, “Knowledge and Data-Driven Framework for Designing a Computerized Physician Order Entry System”, IEEE Access, vol. 10, pp. 40953-40966 (2022).
[5] L. K. Asalla, M. Karsen, A. Bandur, E. H. Prabowo and M. R. Putri, “The Influence of Knowledge Management Systems in Corporate University in Triggering Knowledge Innovation in Higher Education: A Case Study Approach”, 2023 International Conference on Information Management and Technology (ICIMTech) (2023).
[6] T. H. Davenport and L. Prusak, “Data Mining technics in projects with multinational teams”, 2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) (2019).
[7] B. Xie, Z. Lin, J. Chen and I. Maizura, “Application of artificial intelligence computer control technology in management information system,” 2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT), Chongqing, China, pp. 757-760 (2021).
[8] O. Melnychenko, “Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?”, Journal of Risk and Financial Management, vol. 13, no. 9, pp. 191-204 (2020).
[9] R. Clauberg, “Challenges of digitalization and artificial intelligence for modern economies societies and management”, RUDN Journal of Economics, vol. 28, no. 3, pp. 556-567 (2020).
[10] G. J. Long, B. H. Lin, H. X. Cai and G. Z. Nong, “Developing an Artificial Intelligence (AI) Management System to Improve Product Quality and Production Efficiency in Furniture Manufacture”, Procedia Computer Science, vol. 166, no. 98, pp. 486-490 (2020).
[11] Z. Bin, J. Changbin, W. Hu and Z. Jie, “Research on the Professional Core Courses, Influence on Professional Ability: Taking the Major of Information Management and Information System in Wuhan University of Technology as an Example,” 2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, Wuhan, China, pp. 280-284 (2015).
[12] Y. Z. Olpak, S. Baltaci and Muhammet Arican, “Investigating the effects of peer instruction on preservice mathematics teachers’ achievements in statistics and probability[J]”, Education & Information Technologies, vol. 36, no. 2, pp. 1-18 (2018).
[13] M. Barak and M. Assal, “Robotics and STEM learning: students’ achievements in assignments according to the P3 Task Taxonomy-practice problem solving and projects[J]”, International Journal of Technology & Design Education, vol. 28, no. 1, pp. 121-144 (2018).

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