• Title/Summary/Keyword: Online Healthcare

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Development of Classification Model for Healthcare Contents on the Online Community (온라인 커뮤니티에서의 건강 관련 콘텐츠 분류 모형 개발)

  • Kim, Tae-Yun;Kim, Yoo-Sin;Choi, Sang-Hyun;Kim, Do-Hun;Chang, You-Jin
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.285-301
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    • 2017
  • Purpose In this paper we verified the reliabilities of healthcare-related information provided by various users on the site of Naver Jisikin, a Korean typical search platform. Based on Q&A contents we validated answers' reliabilities to the asked questions about a lung cancer with the help of professors at a medical school. Design/methodology/approach The content analysis includes that the types of questions are classified into symptom/diagnosis, therapy, prognosis, after-management and so on. The answers contains advice, advertisement, oriental medicine, and religion as well as the above 5 question categories. The validation results of medical evidence about each answer show that only 49% among all answers have medical grounds. Findings We classified the medical grounded answers into three levels; high, medium and low. Among all answers we need to find out the answers including advertisement because the answers can be harmful to patients. We found the method to select the answers containing advertisement contents with the help of text mining research. The selection model presents high performance as 84% classification accuracy.

Merging the old with the new: a cybermedicine marriage for oncology interactions with traditional herbal therapies and complementary medicines

  • Yap, Kevin Yi-Lwern;Lim, Ken Juin
    • CELLMED
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    • v.2 no.2
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    • pp.18.1-18.16
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    • 2012
  • An oncology-specific database called OncoRx (http://bit.ly/cancerRx) was previously set up in cyberspace to aid clinicians in identifying interactions of anticancer drugs (ACDs) and chemotherapy regimens with traditional Chinese medicines (TCMs) and complementary and alternative medicines (CAMs). Since then, users have requested the drug-CAM interactions (DCIs) of 5 specific CAMs (cranberry, melatonin, co-enzyme Q10, huachansu, reishi mushroom) to be updated in the database. Pharmacokinetic properties (metabolism, enzyme induction/inhibition, elimination), TCM properties and DCIs of each CAM were collated with 117 ACDs using 9 hardcopy compendia and online databases as resources. Additionally, individual ACDs and CAMs were used as keywords for PubMed searches in combination with the terms 'anticancer drugs', 'drug interactions', 'herb-drug/drug-herb interactions', 'pharmacokinetic interactions' and 'pharmacodynamic interactions'. DCI parameters consisted of interaction effects, evidence summaries, proposed management plans and alternative non-interacting CAMs, together with relevant citations and update dates of the DCIs. OncoRx is also used as a case to introduce the "Four Pharmaco-cybernetic Maxims" of quality, quantity, relationship and manner to developers of digital healthcare tools. Its role in Hayne's "5S" hierarchy of research evidence is also presented. OncoRx is meant to complement existing DCI resources for clinicians and alternative medicine practitioners as an additional drug information resource that provides evidence-based DCI information for ACD-CAM interactions.

Healthcare Considerations for Special Populations during the COVID-19 Pandemic: A Review

  • Kim, Jeung-Im;Im, YeoJin;Song, Ju-Eun;Jang, Sun Joo
    • Journal of Korean Academy of Nursing
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    • v.51 no.5
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    • pp.511-524
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    • 2021
  • The coronavirus disease 2019 (COVID-19) has emerged as a threat to human health and public safety. People of all ages are susceptible to severe acute respiratory syndrome coronavirus 2 infection. However, the clinical manifestations of this infection differ by age. This study purposes to describe healthcare considerations for special populations, such as children, pregnant and lactating women, and older adults, who may have unique healthcare needs, in the pandemic situation. To realize the research purpose, we conducted a review of the practice guidelines of public documents and qualified studies that were published online/offline during a specific period. The review identified current knowledge on care for newborns, children in schools, pregnant women (from antenatal to postpartum care), and older adults suffering from high-risk conditions. Subsequently, we summarize vaccination guidance for special populations and, finally, discuss the issues currently affecting special populations. Therefore, this current knowledge on care for special populations helps nurses to provide accurate information on vaccinations aimed at preventing COVID-19 and protecting the masses from infection. Currently, the scarcity of information on COVID-19 variants necessitates further research on measures to reduce pandemic spread.

Responsive Healthcare System for Posture Correction Using Webcam-Based Turtle Neck Syndrome Discrimination Algorithm (웹캠 기반 거북목 판별 알고리즘을 활용한 자세 교정 반응형 헬스케어 시스템)

  • Park, Soyeon;Ryoo, Seojin;Dong, Suh-Yeon
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.285-294
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    • 2021
  • This study developed a responsive healthcare system that users can easily use in real life to prevent turtle neck syndrome by posture correction. We propose a system that naturally induces direct posture improvement by adjusting the height with a responsive cradle through a turtle neck discrimination algorithm detecting the turtle neck posture in real time using a webcam. The turtle neck algorithm was developed based on machine learning, using the points that the distance relationship between the jaw line and the shoulder varies depending on the posture. For the younger age group, which is particularly problematic due to the increase in the use of IT devices, image data in different situations according to the height and posture of the cradle was collected and learned as a support vector machine classifier. In addition, a height-adjustable cradle that can support a laptop has been created and expanded into a responsive cradle that can be controlled with software by interlocking with the Arduino. Therefore, this service enables posture correction of many modern people suffering from turtle neck syndrome and will become an essential platform in the increasing online environment in the non-contact era.

Online Social Media Review Mining for Living Items with Probabilistic Approach: A Case Study

  • Li, Shuai;Hao, Fei;Kim, Hee-Cheol
    • Smart Media Journal
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    • v.2 no.2
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    • pp.20-27
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    • 2013
  • The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

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Enhancing Privacy Protection in Steppy Applications through Pseudonymization

  • Nugroho, Heri Arum;Prihatmanto, Ary Setijadi;Rhee, Kyung Hyune
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.763-766
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    • 2015
  • Smart Healthcare System as an Open Platform (Shesop) is an integrated healthcare system and have several features, one of them is Steppy Application. Steppy does count your step and display on Shesop website. In this system security issues are not properly addressed, while Personal Health Record (PHR) patient stored in the cloud platform could be at risk. In fact, the huge electronic information available online, people needs reliable and effective technique for privacy preserving. In order to improve the security of data which are displayed on the Shesop website, so that anyone who access could not tamper without permission. Recently Xu et al. showed a pseudonym scheme using smart card as a solution in e-health systems which uses discrete logarithm problem with cyclic group. In this paper, we adopt their scheme and use it application into smartphone using Near Field Communication (NFC) to construct security in Steppy apps.

The PHR Pilot Service for Specific Cancer Patients (특정 암 환자를 PHR 파일롯 서비스)

  • Hwang, Ein Jeong;Kim, So Hyun;Oh, Do Hoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.6
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    • pp.162-168
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    • 2014
  • 'Personal Healthcare Records' (PHR) is a service for providing individual clinical data to patients. PHR service should be useful for the patient and healthcare service providers. This study has aimed at not only providing patients' clinical data but also developing optimized healthcare service for every patients. The research has been conducted as 3 phases: formal case analysis, caregivers interviews and patients interviews. The patients interviews were limited to cancer patients. As results, 3 key functions have been developed. First, it offers patient's clinical pathway as a personalized medical treatment scheduler. Second, it supplies Question & Answer board on online. Last, it supports patients to input their healthcare record. This Myongji PHR service has 3 months of pilot test on web and mobile application(android version). For further commercialized PHR service, the standardization for clinical pathway registration and user convenience need to be considered.

Relationships among Nursing Students' Recognition, Perceived Usefulness, and Intention to Accept IoT

  • KANG, Ji-Yeon;KONG, Ye-Won;KIM, Eun-Bi;KIM, Eun-Ae;PARK, Sun-Joo;PARK, Jina;SEONG, Ji-Yeon;SON, Chae-Eun;LEE, Bo-Mi;KIM, Yunmi
    • The Korean Journal of Food & Health Convergence
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    • v.7 no.1
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    • pp.1-5
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    • 2021
  • The purpose of this study was to investigate the degree of recognition, perceived usefulness, and intention to accept the Internet of Things (IoT) in healthcare among nursing students, as well as to determine related factors. Through this study, we wanted to develop the basic research for the education related to the IoT in healthcare. In this study, data were collected from 348 nursing students using self-report online questionnaires, Naverform, and analyzed using the independent sample t-test, one-way analysis of variance, and Pearson correlation coefficients in SPSS version 26.0. The results of the study show that recognition of the IoT was correlated with its perceived usefulness (r=0.37; p<.001) and intention to accept the IoT (r=0.23 (p<.001). The strongest correlation was found between perceived usefulness of the IoT and intention to accept (r=0.67; p<.001). In conclusion, recognition of the IoT in healthcare affected its perceived usefulness, and a significant correlation was found between perceived usefulness of the IoT and intention to accept it. This study analyzed how much recognition, perceived usefulness, and intention to accept IoT in healthcare nursing students have. Based on these findings, we suggest that education related to the IoT in healthcare should be incorporated into the nursing curriculum.

Factors Affecting Consumers' Experience of Using Smart Healthcare Focusing on Health Literacy and Personal Characteristics (건강정보이해능력과 개인의 특성이 스마트 헬스케어 이용 경험에 미치는 요인 분석)

  • Kim, Ga Eun;Park, Hyun Jun
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.41-53
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    • 2019
  • As the paradigm of healthcare shifts from the center of treatment to the center of prevention, products and services related to disease prevention are emerging at domestic and abroad. The government considers the smart healthcare industry as a solution to healthcare problems such as an increase in the number of chronic illnesses and an increase in the burden of medical expenses. The purpose of this study is to explore the factors affecting the use of smart healthcare products and services focusing on Health Literacy and health related personal characteristics and to provide policy implications. The subjects of the questionnaire are 1,027 adults over 20 in the nation, and conducted an online survey. In addition, the factors were analyzed by decision tree method. As a result, most of the respondents(76.9%) did not have experience using Smart Healthcare products and services. However, in the Health Literacy question, there was a difference in use experience depending on the degree of difficulty in using the mass media information. Other factors were the degree of intention to use new technology, the understanding of counseling about family members and friends, and health checkups. In order to enable self-healthcare through smart healthcare products and services, the ability of consumers to explore and utilize health information from the mass media should be improved. In addition, government and enterprise efforts are needed to achieve this.

A Study on the Relation between the Awareness of National Cancer Screening Program by the Korean Public and Cancer Screening Intention : An Online Survey (한국 국민의 국가암검진사업 인지와 수검의도간의 관련성 : 온라인 설문을 중심으로)

  • Kim, Jae-Woo;Kim, Sung-Ho;Kan, Jung-Kyu
    • The Korean Journal of Health Service Management
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    • v.10 no.4
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    • pp.87-95
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    • 2016
  • Objectives : The aim of this study was to investigate the degree of awareness of the national cancer screening program by the Korean public and define its relationship with cancer screening intention. Methods : The study collected data by conducting an online survey from April 19 to 24, 2016, and received a total 354 responses. Additionally, we performed frequency analysis, chi-square test, and logistic regression analysis. Results : Based on the results for the degree of awareness for the national cancer screening program, 151 (42.7%) people were aware of the program, while 203 (57.3%) were not aware the program. From the chi-square test and logistic regression analysis, marital status and awareness of the national cancer screening program were found to have a statistically significant influence on screening intention. Conclusions : An increase in the screening rate should be established with a systematic promotion plan for the national cancer screening program.