Relevant bibliographies by topics / Medical data management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Medical data management'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Medical data management"

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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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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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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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Dissertations / Theses on the topic "Medical data management"

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Mohamad, Baraa. "Medical Data Management on the cloud." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22582.

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Résumé indisponible<br>Medical data management has become a real challenge due to the emergence of new imaging technologies providing high image resolutions.This thesis focuses in particular on the management of DICOM files. DICOM is one of the most important medical standards. DICOM files have special data format where one file may contain regular data, multimedia data and services. These files are extremely heterogeneous (the schema of a file cannot be predicted) and have large data sizes. The characteristics of DICOM files added to the requirements of medical data management in general – in
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Kairouz, Joseph. "Patient data management system medical knowledge-base evaluation." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=24060.

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The purpose of this thesis is to evaluate the medical data management expert system at the Pediatric Intensive Care Unit of the Montreal Children's Hospital. The objective of this study is to provide a systematic method to evaluate and, progressively improve the knowledge embedded in the medical expert system.<br>Following a literature survey on evaluation techniques and architecture of existing expert systems, an overview of the Patient Data Management System hardware and software components is presented. The design of the Expert Monitoring System is elaborated. Following its installation in
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Chan, Wai-man, and 陳偉文. "Medical document management system using XML." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31224039.

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Bollineni, Sundeep. "Reversible watermarking in health data management." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/3882.

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Ekblaw, Ariel C. (Ariel Caitlyn). "MedRec : blockchain for medical data access, permission management and trend analysis." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109658.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 93-97).<br>Years of heavy regulation and a long-standing focus on compliance have co-opted the ability of the healthcare industry to implement novel data sharing approaches. We now face a critical need for such innovation, as personalization and data science prompt patients to engage in the details of their healthcare and restore agency over their medical data. This thesis propo
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Thayer, Jenny P. "Evaluation of the Inland Counties trauma patient data collection, management, and analysis." CSUSB ScholarWorks, 1986. https://scholarworks.lib.csusb.edu/etd-project/378.

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Chitondo, Pepukayi David Junior. "Data policies for big health data and personal health data." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2479.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>Health information policies are constantly becoming a key feature in directing information usage in healthcare. After the passing of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 and the Affordable Care Act (ACA) passed in 2010, in the United States, there has been an increase in health systems innovations. Coupling this health systems hype is the current buzz concept in Information Technology, „Big data‟. The prospects of big data are full of potential, eve
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Hillen, Florian S. M. Massachusetts Institute of Technology. "Does management matter in scientific laboratories? : evidence from Harvard Medical School." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117888.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2018.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 89-91).<br>The high quality of modern medical care is built upon the creation of scientific knowledge generated from medical research. While the role of management practices has been rigorously explored across va
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Wong, Sze-nga, and 王絲雅. "The impact of electronic health record on diabetes management : a systematic review." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193850.

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Objectives: To investigate the impact of electronic health record (EHR) on diabetes management through examination of the effectiveness of implementation of EHR and to improve the quality of care and the cost-effectiveness on the use of EHR. Methods: Three databases, PubMed, Ovid Medline and Google Scholar, were searched with specific combination keywords including electronic medical record and electronic health record, and diabetes. Quality appraisal and extraction of data were conducted on literature that met with the inclusion criteria. Results: 10 literature studies, a total of 204,2
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Herrera-Hernandez, Maria Carolina. "Engineering of a Knowledge Management System for Relational Medical Diagnosis." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4071.

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The increasingly high costs of health care in the U.S. have led the general public to search for different medical approaches. Since the 1990's, the use of Complementary and Alternative Medicine (CAM) has radically increased in the U.S. due to its approach to treat physical, mental, and emotional causes of illness. In 2009, the National Health Statistics reported the impact of CAM in the U.S. health care economy, with population expenditures of $14.8 billion out-of-pocket on natural Medicine and $12.4 billion out-of-pocket on visits to CAM providers as a complement to Western Medicine care. CA
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Books on the topic "Medical data management"

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K, Rondel R., Varley S. A, and Webb C. F, eds. Clinical data management. 2nd ed. Wiley, 2000.

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Naomi, Sager, Friedman Carol 1941-, and Lyman Margaret S, eds. Medical language processing: Computer management of narrative data. Addison-Wesley Pub. Co., 1987.

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Langkafel, Peter, ed. Big Data in Medical Science and Healthcare Management. DE GRUYTER, 2015. http://dx.doi.org/10.1515/9783110445381.

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Langkafel, Peter, ed. Big Data in Medical Science and Healthcare Management. DE GRUYTER, 2015. http://dx.doi.org/10.1515/9783110445749.

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Petr, Berka, Rauch Jan, and Zighed Djamel A. 1955-, eds. Data mining and medical knowledge management: Cases and applications. Information Science Reference, 2009.

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Oberst, Byron B. Computers in private practice management. Springer-Verlag, 1987.

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1947-, Schilp Jill Lenk, and Gilbreath Roy E. 1953-, eds. Health data quest: How to find and use data for performance improvement. Jossey-Bass Publishers, 2000.

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Health, Zambia Ministry of. Procedure manual for data management for HIV/AIDS services. Govt. of the Republic of Zambia, Ministry of Health, 2008.

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Benson, Tim. Healthcare computing: A guide to health information management and systems. Longman Information and Reference, 1994.

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Unit, University Health Care. Clinic management information system. Lienhard School of Nursing, Pace University, 1991.

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Book chapters on the topic "Medical data management"

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Mears, Greg. "Data management and information systems." In Emergency Medical Services. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118990810.ch73.

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Cambus, J. P., B. Dousset, R. Bierme, and P. Valdiguie. "Electra 800 Data Management Program." In Medical Informatics Europe 1991. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_184.

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Macias, Charles G., and Kathleen E. Carberry. "Data Analytics for the Improvement of Healthcare Quality." In Medical Quality Management. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48080-6_6.

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Kwiatkowska, Mila, Peter Riben, and Krzysztof Kielan. "Interpretation of Imprecision in Medical Data." In Advances in Data Management. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02190-9_17.

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Gururaj, H. L., Soundarya Bidare Chandre Gowda, and D. Basavesha. "Medical Record Management for Disease Management." In Intelligent Systems in Healthcare and Disease Identification using Data Science. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003354178-6.

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Sommers, Paul A. "Collection and Management of Data." In Consumer Satisfaction in Medical Practice. Routledge, 2021. http://dx.doi.org/10.4324/9781003249160-14.

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Asghar, Muhammad Rizwan, and Giovanni Russello. "Automating Consent Management Lifecycle for Electronic Healthcare Systems." In Medical Data Privacy Handbook. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23633-9_14.

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Cho, Yongho, Hosung Kim, Myoung-ju Jeon, et al. "ECG Acquisition and Management System for Knowledge Discovery in Database: Data Modeling, Design, and Implementation." In Medical Data Analysis. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36104-9_9.

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Bairagi, Vinayak K. "Big Data Analytics in Telemedicine: A Role of Medical Image Compression." In Big Data Management. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45498-6_7.

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Falcitelli, Gianluca, Domenico M. Pisanelli, Maurizio Rafanelli, and Fabrizio L. Ricci. "Expert Interface for Epidemiologic Data Management." In Medical Informatics Europe ’90. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-51659-7_109.

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Conference papers on the topic "Medical data management"

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R, Nivetha, Kaviya Priya S, Ranjith Kumar P, et al. "Medical Assistance System Using Large Language Model and Medical Data Management." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012384.

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Singh, Apoorva, G. R. Hemalakshmi, Bhavya Lalchandani, Ishank Singhal, Akshat Gupta, and Nilanjan Sarkar. "3D Medical Image Modeling utilizing DICOM Data." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10984777.

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Anita, C. S., Jayaram Aditthya, Badi Alekya, Jaikishore T. S, Aswin S, and Remya Rose. "Sepsight : Sepsis prediction from Medical Data using Transformer Model." In 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). IEEE, 2025. https://doi.org/10.1109/rmkmate64874.2025.11042844.

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Matiasko, Karol, and Michal Kvet. "Medical data management." In 2017 IEEE 14th International Scientific Conference on Informatics. IEEE, 2017. http://dx.doi.org/10.1109/informatics.2017.8327256.

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Zhang, Guo-Qiang, Jacek Szymanski, and David Wilson. "Data management integration for biomedical core facilities." In Medical Imaging, edited by Steven C. Horii and Katherine P. Andriole. SPIE, 2007. http://dx.doi.org/10.1117/12.709429.

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Haak, Daniel, Charles-E. Page, and Thomas M. Deserno. "Electronic data capture and DICOM data management in multi-center clinical trials." In SPIE Medical Imaging, edited by Jianguo Zhang and Tessa S. Cook. SPIE, 2016. http://dx.doi.org/10.1117/12.2218257.

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Lee, Jasper, Jorge Documet, and Brent Liu. "Data migration and persistence management in a medical imaging informatics data grid." In SPIE Medical Imaging, edited by Brent J. Liu and William W. Boonn. SPIE, 2010. http://dx.doi.org/10.1117/12.845056.

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Baigorri, A., J. Villadangos, J. J. Astrain, and A. Córdoba. "A medical knowledge management system based on expert tagging (MKMST)." In DATA 2013. WIT Press, 2013. http://dx.doi.org/10.2495/data130201.

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Prior, Fred W., and Kamal H. Nabijee. "Information Management For Data Retrieval In A PACS." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.953364.

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Liu, Jianwei, Yong Zhang, and Chunxiao Xing. "Medical Big Data Web Service Management Platform." In 2017 IEEE 11th International Conference on Semantic Computing (ICSC). IEEE, 2017. http://dx.doi.org/10.1109/icsc.2017.69.

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Reports on the topic "Medical data management"

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Carney, Nancy, Tamara Cheney, Annette M. Totten, et al. Prehospital Airway Management: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer243.

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Objective. To assess the comparative benefits and harms across three airway management approaches (bag valve mask [BVM], supraglottic airway [SGA], and endotracheal intubation [ETI]) by emergency medical services in the prehospital setting, and how the benefits and harms differ based on patient characteristics, techniques, and devices. Data sources. We searched electronic citation databases (Ovid® MEDLINE®, CINAHL®, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus®) from 1990 to September 2020 and reference lists, and posted a Federal
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Humpage, Sarah D. Benefits and Costs of Electronic Medical Records: The Experience of Mexico's Social Security Institute. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0008829.

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Electronic medical record (EMR) systems are increasingly used in developing countries to improve quality of care while increasing efficiency. There is little systematic evidence, however, regarding EMRs' benefits and costs. This case study documents the implementation and use of an EMR system at the Mexican Social Security Institute (IMSS). Three EMR systems are now in operation for primary care, outpatient and inpatient hospital care. The evidence suggests that the primary care system has improved efficiency of care delivery and human resources management, and may have decreased incidence of
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Keshav, Dr Geetha, Dr Suwaibah Fatima Samer, Dr Salman Haroon, and Dr Mohammed Abrar Hassan. TO STUDY THE CORRELATION OF BMI WITH ABO BLOOD GROUP AND CARDIOVASCULAR RISK AMONG MEDICAL STUDENTS. World Wide Journals, 2023. http://dx.doi.org/10.36106/ijar/2405523.

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Introduction: Advancements and increase in access to healthcare have increased the life expectancy in India from 32 years in 1947 to almost 70 years currently. Due to robust vaccination and basic health programs, most of the communicable diseases are kept under control. The disease burden is now skewed towards non-communicable diseases. It is an established fact that body mass index (BMI) is a reliable predictor of cardiovascular disease (CVD) later in life. Early prediction can decrease the disease load and enable early preventative measures. A more novel approach of connecting it with blood
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Jones, A. Cloud Data Management Interface (CDMI) Media Types. Edited by K. Sankar. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6208.

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McCausland, Rachel, Joann Fontanarosa, and Ravi Patel. Nonemergent Percutaneous Coronary Intervention Versus Optimal Medical Treatment for Stable Ischemic Heart Disease: A Rapid Response Literature Review. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepcrapidcoronary.

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Aims. There is uncertainty around the optimal role of percutaneous coronary intervention (PCI) for management of chronic coronary syndrome, specifically when patients have disease in multiple coronary vessels and disease in the proximal portion of the left anterior descending coronary artery. This uncertainty was reflected in 2021 guidance from the American College of Cardiology (ACC)/American Heart Association (AHA) on coronary artery revascularization. The Agency for Healthcare Research and Quality has commissioned this rapid response literature review to meet a Congressional request for a s
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Leavy, Michelle B., Costas Boussios, Robert L. Phillips, Jr., et al. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Final Report. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepcwhitepaperdepressionfinal.

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Objective. The objective of this project was to demonstrate the feasibility and value of collecting harmonized depression outcome measures in the patient registry and health system settings, displaying the outcome measures to clinicians to support individual patient care and population health management, and using the resulting measures data to support patient-centered outcomes research (PCOR). Methods. The harmonized depression outcome measures selected for this project were response, remission, recurrence, suicide ideation and behavior, adverse effects of treatment, and death from suicide. T
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Panko, Mary. Undergraduate Research: A Source for Faculty Publications? Unitec ePress, 2014. http://dx.doi.org/10.34074/ocds.002.

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Over the last two decades undergraduate students have been encouraged to problem solve in ‘the real world’ in order to construct their own subject knowledge. This generally means that students are required to carry out research in their disciplines, a process which inevitably leads to the production of quantities of data. Once their findings are reported back to faculty and have been graded, they are largely ignored, as they are ‘only’ the product of undergraduate research. However, since 2000 there has been a move to bring this type of work into the open through undergraduate research confere
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Panko, Mary. Undergraduate Research: A Source for Faculty Publications? Unitec ePress, 2014. http://dx.doi.org/10.34074/ocds.002.

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Over the last two decades undergraduate students have been encouraged to problem solve in ‘the real world’ in order to construct their own subject knowledge. This generally means that students are required to carry out research in their disciplines, a process which inevitably leads to the production of quantities of data. Once their findings are reported back to faculty and have been graded, they are largely ignored, as they are ‘only’ the product of undergraduate research. However, since 2000 there has been a move to bring this type of work into the open through undergraduate research confere
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Panko, Mary. Undergraduate Research: A Source for Faculty Publications? Unitec ePress, 2014. http://dx.doi.org/10.34074/ocds.002.

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Over the last two decades undergraduate students have been encouraged to problem solve in ‘the real world’ in order to construct their own subject knowledge. This generally means that students are required to carry out research in their disciplines, a process which inevitably leads to the production of quantities of data. Once their findings are reported back to faculty and have been graded, they are largely ignored, as they are ‘only’ the product of undergraduate research. However, since 2000 there has been a move to bring this type of work into the open through undergraduate research confere
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มนัสไพบูลย์, จุฑา. ประเด็นข้อพิพาทเกี่ยวกับสิทธิและประโยชน์ในข้อตกลงสภาพการจ้าง : รายงานวิจัย. จุฬาลงกรณ์มหาวิทยาลัย, 1985. https://doi.org/10.58837/chula.res.1985.25.

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Workers in Thailand were given the right to organize and the right to bargain collectively in 1972 when the ban imposed since 1958 was revoked. From the date the long-awaited freedom was allowed, thousands of industrial disputes occurred many of which culminated into work stoppages. Collective agreements concluded in the past were arbitrary and did not differentiate clearly as to labour's and management's rights and interests. The purpose of this study is to investigate whether representatives of most union and management in Thailand have become sophisticated enough to have their respective ri
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