Development of a Personal Health Information Management Program Using Mobile Biometric Information Measuring Device

2020 ◽  
Vol 21 (11) ◽  
pp. 1921-1926
Author(s):  
Byeong-Doo Yim ◽  
Min-Woo Cheon
Keyword(s):  
Health Information ◽  
Information Management ◽  
Management Program ◽  
Health Information Management ◽  
Personal Health Information ◽  
Personal Health ◽  
Measuring Device ◽  
Information Measuring ◽  
Personal Health Information Management ◽  
Biometric Information

scholarly journals Towards Designing Personal Health Information Management System Based on Java

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yitao Chen ◽  
Linhua Wan
Keyword(s):  
Response Time ◽  
Health Information ◽  
Information Management ◽  
Information Acquisition ◽  
Management System ◽  
Information Management System ◽  
Health Information Management ◽  
Personal Health Information ◽  
Personal Health ◽  
Personal Health Information Management

Health information management systems help gather, compile, and analyze health data to help manage population health and reduce healthcare costs. It can support the clinical decision, help diagnose individual patients, and improve patient care. In this study, a personal health information management system based on Java is presented. Based on the Java platform, the overall hierarchical structure of the system is designed including a health information management module, personal health data synchronization module, and full-text retrieval module, to realize the functions of the system. To improve the security of personal health information, the data encryption standard (DES) algorithm is implemented to encrypt and protect personal healthcare information. The system is evaluated in terms of health information acquisition accuracy, information security, and system response time. To verify the robustness of the proposed health information management system, it is compared with two related studies. The maximum health information acquisition accuracy of the system is 99%, the safety factor reported is above 0.9, and the maximum response time is only 0.8 s. The experimental results show that the designed personal health information management system can collect health information more accurately and ensure the security of information, and the overall response time is shorter.

Personal health information management

2006 ◽  
Vol 49 (1) ◽  
pp. 51-55 ◽  
Author(s):  
Wanda Pratt ◽  
Kenton Unruh ◽  
Andrea Civan ◽  
Meredith M. Skeels
Keyword(s):  
Health Information ◽  
Information Management ◽  
Health Information Management ◽  
Personal Health Information ◽  
Personal Health ◽  
Personal Health Information Management

scholarly journals Characteristics of personal health information management groups: findings from an online survey using Amazon’s mTurk

2017 ◽  
Vol 105 (4) ◽  
Author(s):  
Sujin Kim ◽  
Jeffrey T. Huber
Keyword(s):  
Health Information ◽  
Information Management ◽  
Personal Health Records ◽  
Health Information Management ◽  
Personal Health Information ◽  
The Other ◽  
Personal Health ◽  
Health Records ◽  
Basic Group ◽  
Personal Health Information Management

Objective: The study characterized three groups with different levels of familiarity with personal health information management (PHIM) in terms of their demographics, health knowledge, technological competency, and information sources and barriers. In addition, the authors examined differences among PHIM groups in subjective self-ratings and objective test scores for health literacy.Methods: A total of 202 survey participants were recruited using Amazon’s Mechanical Turk (mTurk) service, a crowdsourcing Internet service. Using K-means clustering, three groups with differing levels of familiarity with PHIM were formed: Advanced, Intermediate, and Basic.Results: The Advanced group was the youngest, and the Basic group contained the highest proportion of males, whereas the Intermediate group was the oldest and contained the fewest males. The Advanced group was significantly more likely to engage in provider- or hospital-initiated PHIM activities such as emailing with providers, viewing test results online, and receiving summaries of hospital visits via email or websites than the other groups. The Basic group had significantly lower information management skills and Internet use than the other groups. Advanced and Basic groups reported significant differences in several information barriers. While the Advanced group self-reported the highest general literacy, they scored lowest on an objective health literacy test.Conclusions: For effective personal health records management, it is critical to understand individual differences in PHIM using a comprehensive measure designed to assess personal health records–specific activities. Because they are trained to perform an array of information management activities, medical librarians or patient educators are well positioned to promote the effective use of personal health records by health consumers.

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