Research on a Blockchain-Based Medical Data Management Model

2019 ◽  
pp. 35-44
Author(s):  
Xudong Cao ◽  
Huifen Xu ◽  
Yuntao Ma ◽  
Bin Xu ◽  
Jin Qi
Keyword(s):  
Data Management ◽  
Medical Data ◽  
Management Model ◽  
Medical Data Management

On Educating about Medical Data Management

2007 ◽  
Vol 46 (01) ◽  
pp. 74-79 ◽  
Author(s):  
P. Knaup ◽  
F. Leiner ◽  
R. Haux
Keyword(s):  
Data Management ◽  
Clinical Data ◽  
Medical Data ◽  
Patient Data ◽  
Management Systems ◽  
Multiple Use ◽  
Data Management Systems ◽  
Medical Coding ◽  
Medical Data Management ◽  
Coding Systems

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) analysis, patient-group reporting, and analysis for clinical studies. A so-called documentation protocol, related to study plans in clinical trials, supports the multiple use of data from the electronic health record in order to obtain valid, interpretable results. Lectures on medical data management may contain modules on introduction, basic concepts of clinical data management and coding systems, important medical coding systems (e.g. ICD, SNOMED, TNM, UMLS), typical medical documentation systems (e.g. on patient records, clinical and epidemiological registers), utilization of clinical data management systems, planning of medical coding systems and of clinical data management systems, hospital information systems and the electronic patient record, and on data management in clinical studies. Conclusion: Usability, the ultimate goal of recording and managing patient data, requires, besides technical considerations, in addition appropriate methodology on medical data management, especially if data is intended to be used for multiple purposes, e.g. for patient care and quality management and clinical research. Medical data management should be taught in health and biomedical informatics programs.

scholarly journals A Mobile Cloud based Approach for Secure Medical Data Management

2015 ◽  
Vol 119 (5) ◽  
pp. 14-17
Author(s):  
Annapurna Patil ◽  
Ashwini D V ◽  
Rashmi Ranjana T P ◽  
Tulasi Srinivas
Keyword(s):  
Data Management ◽  
Medical Data ◽  
Mobile Cloud ◽  
Medical Data Management

Middleware for mobile medical data management with minimal latency

2016 ◽  
Vol 20 (6) ◽  
pp. 1281-1296 ◽  
Author(s):  
Richard K. Lomotey ◽  
Ralph Deters
Keyword(s):  
Data Management ◽  
Medical Data ◽  
Medical Data Management

scholarly journals Attitudes Toward Blockchain Technology in Managing Medical Information: Survey Study

10.2196/15870 ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. e15870 ◽  
Author(s):  
Yong Sauk Hau ◽  
Jae Min Lee ◽  
Jaechan Park ◽  
Min Cheol Chang
Keyword(s):  
Data Management ◽  
Medical Information ◽  
Medical Data ◽  
Survey Study ◽  
Medical Doctors ◽  
Negative Attitudes ◽  
University Professors ◽  
Medical Data Management ◽  
Blockchain Technology ◽  
Positive Attitudes

Background The recently developed blockchain technology uses a peer-to-peer network to distribute data to all participants for storage. This method enhances data safety, reliability, integrity, and transparency. To successfully introduce blockchain technology to medical data management, it is essential to obtain consent from medical doctors and patients. Objective The aim of this study was to examine medical doctors’ and patients’ attitudes toward the use of blockchain technology and interpret the findings within the framework of expectancy theory. Methods In this questionnaire survey, we examined medical doctors’ (n=90) and patients’ (n=90) attitudes toward the use of blockchain technology in the management and distribution of medical information. The questionnaire comprised 8 questions that assessed attitudes toward new means of managing and distributing medical information using blockchain technology. Responses were rated on a scale that ranged from 1 (very negative) to 7 (very positive). Results Medical doctors (mean 3.7-5.0) reported significantly more negative attitudes than patients (mean 6.3-6.8). Furthermore, self-employed doctors reported more negative attitudes than employed doctors and university professors. Conclusions To successfully introduce blockchain technology to medical data management, it is necessary to promote positive attitudes toward this technology among medical doctors, especially self-employed doctors.

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