Awareness, attitude and practice towards personal health information privacy among health information management professionals in South Korea

2021 ◽  
pp. 183335832110393
Author(s):  
Yeaeun Kim
Keyword(s):  
South Korea ◽  
Health Information ◽  
Information Management ◽  
Health Information Management ◽  
Personal Health Information ◽  
Personal Health ◽  
Healthcare Organisation ◽  
Main Task ◽  
Full Time ◽  
Attitude And Practice

Background: While information and communication technology has continued to advance, privacy of personal health information (PHI) has remained a challenge for health information management (HIM) professionals. Objective: This study aims to examine the awareness, attitude and practice relating to PHI privacy among HIM professionals in South Korea. Method: A survey questionnaire was developed for the study based on critical appraisal of relevant literature and expert consensus. It was completed by a sample of 312 respondents who were members of the Korean Health Information Management Association, over the age of 21, and worked in a healthcare organisation. Demographic data and questionnaire items (assessed on a 5-point Likert-type scale) were analysed using descriptive statistics, t-tests and ANOVA. Results: Mean scores and SDs for awareness, attitude and practice related to PHI privacy were calculated: 4.21 (0.60) for awareness, 4.17 (0.60) for attitude and 4.31 (0.63) for practice. Significant positive correlations were found between awareness and attitude scores (r = 0.765, p < 0.01); awareness and practice scores (r = 0.585; p < 0.01); and attitude and action scores (r = 0.672; p < 0.01). HIM professionals’ awareness, attitude, and practice towards PHI privacy differed significantly according to age, level of education, years of HIM experience, type of employment, main task, number of completed privacy education activities within the previous 3 years and whether or not they had signed a pledge of confidentiality on PHI. Better-educated, full-time employed respondents, those who had completed a greater number of privacy education activities and had more experience as HIM professionals, achieved higher scores on awareness, attitude and practice than did other respondents. These differences were all statistically significant ( p < 0.01). Conclusion: Although causality cannot be inferred from results of this study, findings suggest that there is a relationship between PHI being a core responsibility of HIM professionals and their subsequent awareness, attitude and practice to ensure its privacy and confidentiality. To improve privacy practice, educational efforts should be prioritised and supported at all levels, including national, organisational, individual, and by professional HIM associations.

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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