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Enoch Opanin

Bio: Enoch Opanin is an academic researcher. The author has contributed to research in topics: Biometrics & Management system. The author has an hindex of 1, co-authored 1 publications receiving 5 citations.

Papers
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Journal ArticleDOI
TL;DR: Based on empirical findings, users with a higher degree of perceived usefulness, privacy concerns, and security concerns will demonstrate a more positive attitude towards adopting keystroke biometric authentication in an e-Health System.
Abstract: This paper evaluated users’ perspective of adopting a biometric authentication technique by utilizing a proposed model derived from the technology acceptance model to determine how effective user accepts a proposed keystroke biometric authentication in an E-Health System. This paper combined the TAM of Davis et al with the success adoption model of DeLone and McLean where external variables for the TAM of Davis et al were derived from the four dimensions considered in the model of DM. The research design is a self-administered survey and the empirical part of the research is quantitative. The aim of the empirical part is to test the fit of the conceptual model with received data based on a questionnaire. This paper uses a crosssectional approach that provides a “snapshot” of the secured system’s usefulness and ease-of-use from the perspective of the end-users. Based on empirical findings, users with a higher degree of perceived usefulness, privacy concerns, and security concerns will demonstrate a more positive attitude towards adopting keystroke biometric authentication in an e-Health System. The proposed model and its elements prove that it can be a useful tool for decision makers in evaluating authentication techniques in e-health systems.

5 citations


Cited by
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01 Jan 2016
TL;DR: The handbook of biometrics is universally compatible with any devices to read, and will help you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you very much for reading handbook of biometrics. Maybe you have knowledge that, people have look numerous times for their favorite books like this handbook of biometrics, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful virus inside their desktop computer. handbook of biometrics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the handbook of biometrics is universally compatible with any devices to read.

275 citations

24 Oct 2016
TL;DR: This paper found that people do tend to re-use each password on 1.7-3.4 different websites, they reuse passwords that are more complex, and mostly they tend to use passwords that they have to enter frequently.
Abstract: From email to online banking, passwords are an essential component of modern internet use. Yet, users do not always have good password security practices, leaving their accounts vulnerable to attack. We conducted a study which combines self-report survey responses with measures of actual online behavior gathered from 134 participants over the course of six weeks. We find that people do tend to re-use each password on 1.7-3.4 different websites, they reuse passwords that are more complex, and mostly they tend to re-use passwords that they have to enter frequently. We also investigated whether self-report measures are accurate indicators of actual behavior, finding that though people understand password security, their self-reported intentions have only a weak correlation with reality. These findings suggest that users manage the challenge of having many passwords by choosing a complex password on a website where they have to enter it frequently in order to memorize that password, and then re-using that strong password across other websites.

30 citations

Journal ArticleDOI
TL;DR: The predictive relevance of developed HIT model was determined and the relevance of the overall paths of the model was predictive, suggesting that TR, ORR, and OCR explained 55.8% of the total amount of variance in HIT/eHealth readiness in the case of KATH.
Abstract: There exist a sizable body of research addressing the evaluation of eHealth/health information technology (HIT) readiness using standard readiness model in the domain of Information Systems (IS). However, there is a general lack of reliable indicators used in measuring readiness assessment factors, resulting in limited predictability. The availability of reliable measuring tools could help improve outcomes of readiness assessments. In determining the predictive relevance of developed HIT model we collected quantitative data from clinical and non-clinical (administrators) staff at Komfo Anokye Teaching Hospital (KATH), Kumasi Ghana using the traditional in-person distribution of paper-based survey, popularly known as drop and collect survey (DCS). We then used PLS-SEM path analysis to measure the predictive relevance of a block of manifest indicators of the readiness assessment factors. Three important readiness assessment factors are thought to define and predict the structure of the KATH HIT/eHealth readiness survey data (Technology readiness (TR); Operational resource readiness (ORR); and Organizational cultural readiness (OCR). As many public healthcare organizations in Ghana have already gone paperless without any reliable HIT/eHealth guiding policy, there is a critical need for reliable HIT/eHealth regulatory policies readiness (RPR) and some improvement in HIT/eHealth strategic planning readiness (core readiness). The final model (R2 = 0.558 and Q2 = 0.378) suggest that TR, ORR, and OCR explained 55.8% of the total amount of variance in HIT/eHealth readiness in the case of KATH and the relevance of the overall paths of the model was predictive. Fit values (SRMR = 0.054; d_ULS = 6.717; d_G = 6.231; Chi2 = 6,795.276; NFI = 0.739). Generally, the GoF for this SEM are encouraging and can substantially be improved.

7 citations

Journal ArticleDOI
TL;DR: Pre-consultation testing significantly improves clinicians’ adherence to malaria test results, shortens patients’ waiting time and leads to overall patient satisfaction.
Abstract: The Ministry of Health, Ghana, in accordance with global policy, recommends that all suspected malaria cases be confirmed parasitologically before treatment. Not all clinicians, however, base their treatment on test results. Patients also spend a lot of time at health facilities waiting to consult a clinician before being asked to go for testing and to see a clinician with test results. The purpose of the study was to determine if testing all children aged 6 to 59 months with fever reporting at an outpatients department (OPD) for malaria before consultation with a clinician (pre-consultation testing) will influence clinicians to adhere to test results and also reduce the time spent by such patients. A quasi-experimental study design was used involving two randomly selected government-owned hospitals in the Northern Volta, Ghana. In each hospital, 439 children were recruited between November 2018 and January 2019. The intervention hospital implemented pre-consultation testing. In the comparator arm, standard practices, which involved patients seeing the clinician before he/she decides whether to send the patient for testing or not, were maintained. Out of 878 children screened the overall prevalence of malaria was 31.9% by malaria rapid diagnostic test (RDT) and 26.7% by microscopy. Clinicians in the intervention arm adhered more to the malaria test results than those in the comparator arm (93.2 vs. 84.3%; p < 0.001). The proportion of children who tested negative but were still diagnosed with malaria was significantly lower in the intervention arm compared to the comparator arm (8.4 vs. 21.2%: p < 0.001). Clinicians and mothers/caregivers in both arms preferred pre-consulting testing. Six out of every 10 mothers/caregivers in the comparator arm viewed the waiting time as ‘too long’’ compared to 4 out of every 10 mothers in the intervention arm. On average, patient waiting time was significantly lower in the intervention arm (2.61 h) than in the comparator arm (3.42 h). Pre-consultation testing significantly improves clinicians’ adherence to malaria test results, shortens patients’ waiting time and leads to overall patient satisfaction. There is a need to establish RDT corners at OPDs of health facilities to implement pre-consultation testing.

5 citations

Journal ArticleDOI
TL;DR: In this paper, a personal health information management system based on Java is presented, where the overall hierarchical structure of the system is designed including a health management module, personal health data synchronization module, and full-text retrieval module.
Abstract: 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.