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Journal articles on the topic 'Medical data management'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Ganoje, Prayag. "Implementing GDPR Compliance in Medical Device Data Management." International Journal of Science and Research (IJSR) 12, no. 6 (2023): 3002–4. http://dx.doi.org/10.21275/sr24810081716.

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N, Bhalaji, Aishwarya V, and Krithika Balaji. "Medical Data Management Using Blockchain." December 2020 2, no. 4 (2020): 222–31. http://dx.doi.org/10.36548/jismac.2020.4.006.

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Medical data of a person is an extremely sensitive and valuable resource. If this data gets into the wrong hands, it can be misused in unimaginable ways. Any organization handling this sort of sensitive data is taking on an extremely huge responsibility. A patient should not have to worry about the safety of his data in the hands of a third-party organization. If he is given control of his sensitive data by eliminating the middle man, then handling such data would become a lot easier. This is where the concept of blockchain is introduced. The blockchain technology proves to be an excellent tec

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Sun, Mingui, Yun Q. Shi, Qiang Liu, and Robert J. Sclabassi. "Data Integration for Medical Information Management." Journal of VLSI signal processing systems for signal, image and video technology 41, no. 3 (2005): 319–28. http://dx.doi.org/10.1007/s11265-005-4155-z.

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MERCANDO, ANTHONY D. "Medical Data Management on a Computer." Pacing and Clinical Electrophysiology 16, no. 1 (1993): 82–85. http://dx.doi.org/10.1111/j.1540-8159.1993.tb01539.x.

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Knaup, P., F. Leiner, and R. Haux. "On Educating about Medical Data Management." Methods of Information in Medicine 46, no. 01 (2007): 74–79. http://dx.doi.org/10.1055/s-0038-1628137.

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Summary Objectives: To summarize background, challenges, objectives, and methods for the usability of patient data, in particular with respect to their multiple use, and to point out how to lecture medical data management. Methods: Analyzing the literature, providing an example based on Simpson’s paradox and summarizing research and education in the field of medical data management, respectively health information management (in German: Medizinische Dokumentation). Results: For the multiple use of patient data, three main categories of use can be identified: patientoriented (or casuistic) anal

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6

Seward, James B. "Paradigm Shift in Medical Data Management." JACC: Cardiovascular Imaging 10, no. 11 (2017): 1304–6. http://dx.doi.org/10.1016/j.jcmg.2016.10.013.

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MOSKALENKO, Artem, and Vitaliy OSYADLYI. "MODEL AND METHOD OF ASSESSING THE MEDICAL DATA SUFFICIENCY." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (2022): 19–24. http://dx.doi.org/10.31891/2307-5732-2022-309-3-19-24.

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The conducted state-of-the-art on known decisions on the use of blockchain technologies in the construction of information technology for medical data management showed that, despite a large number of different solutions, effective methods and solutions for medical data management based on blockchain technologies are currently lacking. Thus, improving the efficiency of medical data management by developing methods of medical data management based on blockchain technologies is currently an urgent problem. The aim of this study is to improve the efficiency of medical data management by developin

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Lee, Suk-Hwan, and Ki-Ryong Kwon. "Multiple 3D Medical Data Watermarking for Healthcare Data Management." Journal of Medical Systems 35, no. 6 (2010): 1573–93. http://dx.doi.org/10.1007/s10916-010-9434-y.

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9

Lee, Sang Young. "Blockchain-based Framework for Medical Data Management." International Journal of Advanced Research in Big Data Management System 3, no. 2 (2019): 31–36. http://dx.doi.org/10.21742/ijarbms.2019.3.2.05.

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Adeli, K. "Electronic apps and medical diagnostics data management." Clinica Chimica Acta 530 (May 2022): S460. http://dx.doi.org/10.1016/j.cca.2022.04.785.

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Hostiuc, Sorin. "Management of Medical Data in Emerging Threats." Studia Universitatis Babeş-Bolyai Bioethica 66, Special Issue (2021): 92. http://dx.doi.org/10.24193/subbbioethica.2021.spiss.57.

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"Emerging viral or bacterial threats pose significant medical and ethical issues, caused not only by the management of the disease, but also by the uncontrolled dissemination of information, both true and fake. Even the most correct and impartially presented piece of information can be understood by the patients or by the public at large in ways that are opposite to those intended by the communicators. This, associated with the increased prevalence of fake news, may cause havoc and decrease the efficacy of the needed preventive measures that have to be taken to tackle the actual medical proble

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12

Adeli, K. "Electronic apps and medical diagnostics data management." Clinica Chimica Acta 493 (June 2019): S742—S743. http://dx.doi.org/10.1016/j.cca.2019.03.1442.

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Avisha, I., G. Bhuvaneshwari, and Ramya G. Franklin. "Blockchain for medical data access and management." Research Journal of Science and Technology 12, no. 3 (2020): 190. http://dx.doi.org/10.5958/2349-2988.2020.00026.1.

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14

Chabane, Yahia, Laurent d'Orazio, Le Gruenwald, Baraa Mohamad, and Christophe Rey. "Medical data management in the SYSEO project." ACM SIGMOD Record 42, no. 3 (2013): 48–53. http://dx.doi.org/10.1145/2536669.2536678.

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15

Bandiwadekar,, Asst Prof Mrs Meghana Vidyadhar. "MEDICAL DATA EXTRACTION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34130.

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The proposed system is a user-friendly and efficient Data Extraction software for Medical Documents and Images, integrating advanced technologies such as PHP, Android, database, ML-Kit, retrofit, recycler views. The application facilitates efficient user registration, user login, insurance claims, and management of claimed users. The system aims to enhance the accessibility and accuracy of medical data extraction, thereby optimizing insurance procedures for agents, Also This paper outlines the technical architecture, functionalities, and implementation details of the application, highlighting

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16

Fathima Shah, Wasim. "Bridging the Gap in Integrated Care: A Semantic Medical Data Management Framework Leveraging Linked Data and FHIR Standards." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 1972–82. http://dx.doi.org/10.21275/sr23522054732.

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Krishnan, Hari, Sant hosh, Vija y, and Sabana Yasmin. "Blockchain for Health Data Management." International Academic Journal of Science and Engineering 9, no. 1 (2022): 23–27. http://dx.doi.org/10.9756/iajse/v9i2/iajse0910.

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Medical reports are a vital component of hospital operations and are frequently involved in operations. These days, hospitals have boosted their revenue by integrating pathology and other test labs within the facility for effective and quick reports in addition to more revenue. Operations in hospitals cover a wide range of activities, including patient admission, management, and hospital expense management. This makes operations more complicated and challenging to track, especially when combined with additional services like pathology and pharmacy management. Therefore, with the Hyper ledger c

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18

Bidve, Vijaykumar, Kiran Kakakde, Pakiriswamy Sarasu, Shailesh Kediya, Pradip Tamkhade, and Suprakash Sudarsanan Nair. "Patient data management using blockchain technology." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1746. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1746-1754.

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<span>The patient data management is an essential component of healthcare systems, the secure and efficient data processing is important for the medical data. Data security, interoperability and privacy are the key requirements of data storage systems of healthcare organizations. The electronic medical records have become a key technique to maintain patient information in hospitals due to the technology revolution. Some hospital systems are also using server-based patient detail management systems, they require considerable storage to record all of the patient's medical reports, limiting

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Dhanda Sweta Sehrawat, Kunal. "Revolutionizing Public Health: A Blockchain - Based System for Secure Genetic and Medical Data Management." International Journal of Science and Research (IJSR) 13, no. 1 (2024): 661–64. http://dx.doi.org/10.21275/sr24109114954.

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20

Maeda, M., K. Maeda, M. Kawakami, and M. Tsujioka. "364 Our System of Medical Data Management : Medical Checkup without Films." Japanese Journal of Radiological Technology 51, no. 10 (1995): 1434. http://dx.doi.org/10.6009/jjrt.kj00001353135.

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OSYADLYI, Vitaliy, and Artem MOSKALENKO. "METHOD OF PERFORMING THE TRANSACTIONS ON MEDICAL DATA BASED ON BLOCKCHAIN TECHNOLOGIES." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 186–90. http://dx.doi.org/10.31891/2307-5732-2022-311-4-186-190.

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Today, healthcare decision-making processes are time consuming and complex. The productivity of health workers can be increased through the use of information technology. It is information technology that can reduce medical errors, provide more reliable solutions, and reduce health care costs. Today, medical information technology must meet 4 requirements: efficiency, safety, novelty and economic benefits. The healthcare sector in Ukraine has long been in need of change, and the many opportunities blockchain technology can help it lead the transformation of this area and meet these 4 requireme

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22

Hand, D. J. "Mining medical data." Statistical Methods in Medical Research 9, no. 4 (2000): 305–7. http://dx.doi.org/10.1191/096228000701555172.

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23

Missinou, M. A., S. Issifou, E. Anane-Sarpong, et al. "Medical Informatics in Medical Research." Methods of Information in Medicine 45, no. 05 (2006): 483–91. http://dx.doi.org/10.1055/s-0038-1634108.

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Summary Objectives: Computers are widely used for data management in clinical trials in the developed coutries, unlike in developing countries. Dependable systems are vital for data management, and medical decision making in clinical research. Monitoring and evaluation of data management is critical.In this paper we describe database structures and procedures of systems used to implement, coordinate, and sustain data management in Africa. We outline major lessons, challenges and successes achieved, and recommendations to improve medical informatics application in biomedical research in sub-Sah

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24

Trochanowski, B., C. Houston, and C. Begg. "A07 Data management workload assessment for medical oncology." Controlled Clinical Trials 14, no. 5 (1993): 401–2. http://dx.doi.org/10.1016/0197-2456(93)90073-m.

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25

Haendel, A., and G. Michelson. "Quality Management—New Perspectives for Medical Data Manager." Current Therapeutic Research 78 (2016): S9—S10. http://dx.doi.org/10.1016/j.curtheres.2016.05.021.

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26

Mrewa, Nunudzai, Athirah Mohd Ramly, Angela Amphawan, and Tse Kian Neo. "Optimizing Medical IoT Disaster Management with Data Compression." Journal of Informatics and Web Engineering 3, no. 1 (2024): 55–66. http://dx.doi.org/10.33093/jiwe.2024.3.1.4.

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In today's technological landscape, the convergence of the Internet of Things (IoT) with various industries showcases the march of progress. This coming together involves combining diverse data streams from different sources and transmitting processed data in real-time. This empowers stakeholders to make quick and informed decisions, especially in areas like smart cities, healthcare, and industrial automation, where efficiency gains are evident. However, with this convergence comes a challenge – the large amount of data generated by IoT devices. This data overload makes processing and transmit

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27

Bentley, Leo. "Medical Tourism Management." RADINKA JOURNAL OF HEALTH SCIENCE 2, no. 1 (2024): 162–68. http://dx.doi.org/10.56778/rjhs.v2i1.250.

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Medical tourism, the practice of traveling abroad for medical treatment, has gained substantial attention in recent years due to its implications for healthcare delivery and tourism industry dynamics. This paper investigates the management strategies employed in medical tourism destinations, focusing on enhancing healthcare services and tourism competitiveness. Utilizing secondary data from scholarly articles, reports, and industry publications, the research synthesizes existing knowledge on medical tourism management frameworks, destination competitiveness factors, patient experiences, and he

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28

Durga, Chavali Vinod Kumar Dhiman Swetha Singiri Naga Santhosh Reddy Vootukuri Syed Fasih Uddin Biju Baburajan. "Blockchain for Healthcare Data Management." International Journal of Pharmaceutical Sciences 2, no. 12 (2024): 9–14. https://doi.org/10.5281/zenodo.14253595.

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The adoption of blockchain technology into the healthcare sector holds the promise of bringing so many changes to the way medical records are treated, transmitted and secured. This chapter of the book discusses in a comprehensive way blockchain applications in healthcare by focusing on how the system improves information reliability, interoperability, and privacy. As starting point, the chapter takes literature that is available and relevant case studies to see the utility of blockchain in healthcare. It points to various benefits, challenges, and future direction of blockchain adoption in the

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29

Jeong, Hyuncheol. "Simulation of a Multiversion Medical Data Management System for Medical Information Security." Journal of Korean Society of Medical Informatics 15, no. 4 (2009): 403. http://dx.doi.org/10.4258/jksmi.2009.15.4.403.

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30

Chute, Christopher G., Branko Cesnik, and Jan H. van Bemmel. "Medical data and knowledge management by integrated medical workstations: summary and recommendations." International Journal of Bio-Medical Computing 34, no. 1-4 (1994): 175–83. http://dx.doi.org/10.1016/0020-7101(94)90020-5.

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31

Xie, Juexing, and Wen Luo. "General Surgery Clinical Information Management System Based on Intelligent Data Management." Computational Intelligence and Neuroscience 2022 (August 1, 2022): 1–11. http://dx.doi.org/10.1155/2022/8601164.

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In order to improve the effect of surgical clinical information management, this paper combines the intelligent data management technology to construct the general surgery clinical information management system. Based on the design and development of general surgery clinical medical case information management system, this paper studies the mutual conversion between XML data and relational data, and designs a clinical medical case information management system based on the design idea of layered architecture. The clinical medical case information management system mainly adopts the modular des

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32

Zhang, Xiaoyi, Xinru Liu, Shengzhu Zhou, and Ning Ma. "Medical Big Data Risk Management: A Systematic Management Approach Based on Bayesian Belief Networks." Mobile Information Systems 2023 (February 10, 2023): 1–11. http://dx.doi.org/10.1155/2023/9507349.

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The purpose of this paper is to identify the medical risk of applying big data technology and to build a medical big data risk (MBDR) control process and manage medical big data risk (MBDR) from a systematic perspective. In this process, we firstly used systematic literature reviews (SLRs) method to systematically search 322 papers in web of science with the topics of “medical risk” and “big data risk” to build a dimensional system of medical big data risk (MBDR) from the theoretical level. Based on a case study of a hospital in Shanghai, we explored the formation mechanism and interaction eff

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33

Nygård, Jan, Roman Vitenberg, and Dusica Marijan. "Secure management of health data." EU Research Summer 2024, no. 38 (2024): 10–11. http://dx.doi.org/10.56181/uupp8079.

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Healthcare registries hold vast amounts of data on the population, and while this data is enormously valuable to medical researchers, it must also be managed in a secure way. Researchers in the SmartMed project are using smart contracts and blockchain technology to provide effective solutions to this challenge, as Roman Vitenberg, Jan Nygård and Dusica Marijan explain.

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Shengjuan Guo, Shengjuan Guo, and Mei Yang Shengjuan Guo. "A Private Storage System of Medical Data Based on Blockchain." 電腦學刊 33, no. 6 (2022): 073–82. http://dx.doi.org/10.53106/199115992022123306006.

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<p>At present, most medical institutions use electronic medical records (EMRs) to save medical and health data in the database, which take certain security risks on sharing the medical and health data. To solve this problem, this paper presents a novel storage method for health data using blockchain technology, which can share and avoid tampering the medical data between different hospitals and patients and keep avoid tampering the medical data between different hospitals and patients and keep the privacy at the same time. The schema of health data structure, the generation of block, the

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Singh, Abhilasha, and Malay Kishore Dutta. "A Reversible Data Hiding Scheme for Efficient Management of Tele-Ophthalmological Data." International Journal of E-Health and Medical Communications 8, no. 3 (2017): 38–54. http://dx.doi.org/10.4018/ijehmc.2017070103.

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Advancements in medical sciences and induction of advanced technologies have led to increased role of medical images in tele-diagnosis. This paper proposes a technique for easy, efficient and accurate management of distributed medical databases and alleviates the risk of any distortion in images during transmission. It also provides remedy of issues like tampering, accidentally or intentionally, authentication and reliability without affecting the perceptual properties of the image. The technique is blind and completely reversible. Values of PSNR and BER imply that the changes made to original

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36

Singh, Priya. "Data management in Nepalese medical sector: An empirical study." SADGAMAYA 1, no. 1 (2024): 21–23. http://dx.doi.org/10.3126/sadgamaya.v1i1.66882.

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This study attempted to examine the influence of data management in the Nepalese medical sector and the impact of big data in health care. Many nations have strict policies and guidelines of data management of medical services. Countries with good ranking in health sector are the instances of this. Contemporary medical literatures have answered many issues, but the level of intensity or impact of unmanaged data in the medical sector and mechanisms to utilize EDI in the data management of the Nepalese medical sector are yet to be answered which is the quest of this article.

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37

Mahboob Ali, Muhammad, and Anita Medhekar. "Globalization, medical travel and healthcare management in Bangladesh." Problems and Perspectives in Management 14, no. 2 (2016): 360–75. http://dx.doi.org/10.21511/ppm.14(2-2).2016.12.

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There is an increasing evidence of people from Bangladesh travelling to neighboring countries of Asia, such as India, Thailand, Malaysia and Singapore for medical treatment due to poor quality of healthcare services, high cost, and non-availability of speciality medical treatment and facilities. Medical travel is a practise where patients travel to other countries for diagnostic, pathological and complex invasive surgeries due to various push factors in their home country which prevents them for getting affordable, accessible and accredited quality of medical treatment in a timely manner, due

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38

Ho, Seung Hee, Young Moon Chae, Kyoung Won Cho, Sun Ha Jee, and Dong Ha Lee. "Data Mining Application for Knowledge Management in Medical Field." Journal of Korean Society of Medical Informatics 5, no. 3 (1999): 169. http://dx.doi.org/10.4258/jksmi.1999.5.3.169.

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39

Krówczyński, Wojciech. "Innovation activities in personal data management in medical entities." Optimum Economic Studies, no. 4 (2019): 112–20. http://dx.doi.org/10.15290/oes.2019.04.98.09.

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40

Noshadi, Hyduke, Foad Dabiri, Saro Meguerdichian, Miodrag Potkonjak, and Majid Sarrafzadeh. "Behavior-oriented data resource management in medical sensing systems." ACM Transactions on Sensor Networks 9, no. 2 (2013): 1–26. http://dx.doi.org/10.1145/2422966.2422969.

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41

王, 聪健. "Analysis of Medical Big Data Powering Intelligent Hospital Management." Modern Management 09, no. 02 (2019): 278–62. http://dx.doi.org/10.12677/mm.2019.92031.

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42

Teng, Dejun, Jun Kong, and Fusheng Wang. "Scalable and flexible management of medical image big data." Distributed and Parallel Databases 37, no. 2 (2018): 235–50. http://dx.doi.org/10.1007/s10619-018-7230-8.

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43

A. Karthika, R., K. Dhinakaran, D. Poorvaja, and A. V. Shanbaga Priya. "Cloud Based Medical Image Data Analytics in Healthcare Management." International Journal of Engineering & Technology 7, no. 3.27 (2018): 135. http://dx.doi.org/10.14419/ijet.v7i3.27.17744.

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In today’s world, the images form a huge amount of unstructured data from the public and the corporate sector. As a result of the growth of these types of data, modern analytical systems need to interpret and assimilate images. This brings in the need of image processing which involves the transformation from images to analytically organized and structured data. It performs required operation on the given input image and returns the related outputs based on the query. Digital image processing has pushed the envelope for the appraisal in various domains such as healthcare, defense and security,

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44

Lomotey, Richard K., and Ralph Deters. "Middleware for mobile medical data management with minimal latency." Information Systems Frontiers 20, no. 6 (2016): 1281–96. http://dx.doi.org/10.1007/s10796-016-9729-8.

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45

Kim, Jong Han. "A Study on Research Data Management Services in the Medical Libraries: Focusing on Data Management Plan Services." Journal of Korean Medical Library Association 48, no. 1_2 (2021): 33–43. http://dx.doi.org/10.69528/jkmla.2021.48.1_2.33.

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The research data is increasingly important as modern research is becoming data-intensive. There has been national support for research data management (RDM) in some advanced countries since around 2010. In Korea, it was mandatory to submit the data management plan (DMP) for some national R&D projects through the revision of the Regulations on the Management of National R&D Projects in 2019. The goal of this article is to present DMP support services, one of the factors of research data management services, considering researcher’s service needs and the working conditions of Korean med

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46

Soleimani, Ameneh, Nezhad Adel Soleimani, and Fariborz Doroudi. "Research Data Sharing; Case Study: Medical Faculty Members." Iranian Journal of Information Processing & Management 38, no. 1 (2022): 193–220. https://doi.org/10.35050/JIPM010.2022.019.

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Advances in information and communication technologies have facilitated the research and production of large volumes of data, and this has led to a new paradigm in scientific research called the fourth paradigm of science. The purpose of this study was to evaluate the status of research data sharing among researchers at Kerman University of Medical Sciences. This study is a descriptive survey research. The study population consisted of all faculty members of Kerman University of Medical Sciences with 521 members. The sample size was estimated 220 using Cochran formula. Data collection tool was

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Katile, Urvashi. "MediChain: Medical Record Management System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 3414–17. http://dx.doi.org/10.22214/ijraset.2023.52365.

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Abstract: Currently, Electronic Health Records are managed using a client-server architecture by which healthcare providers retain data stewardship. But this strategy has problems with security and privacy, a single point of failure, fragmented data, and susceptibility. Blockchain is a brand-new, developing technology for distributed databases that uses cryptography to ensure the security, incorruptibility, and integrity of data. These characteristics allow secure and reliable data storage. Blockchain-based record management system uses smart contracts to ensure the privacy of patients. This h

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Chesney, Thomas, Kay Penny, Peter Oakley, et al. "Data Mining Medical Information." International Journal of Healthcare Information Systems and Informatics 1, no. 2 (2006): 51–64. http://dx.doi.org/10.4018/jhisi.2006040104.

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49

Zhao, Jingwei, and Ye Tao. "Application of Medical Records Management Based on Big Data Technology." Frontiers in Computing and Intelligent Systems 9, no. 2 (2024): 59–61. http://dx.doi.org/10.54097/bvvhj243.

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Medical records are the key information resources of medical institutions. With the progress of medical technology and the deepening of informatization construction, their management level and utilization efficiency are directly related to the quality and efficiency of medical services. In today's big data era, the amount of data and information is growing explosively, and medical records are no exception. The traditional paper file management method has made it difficult to meet the storage, retrieval, and sharing needs of massive medical data. This paper discusses that the rapid development

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50

Stonier, P. D. "Clinical data management." Human Psychopharmacology: Clinical and Experimental 16, no. 4 (2001): 360–61. http://dx.doi.org/10.1002/hup.285.

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