Journal of health & medical informatics最新文献

A Mobile-Based Diet Monitoring System for Obesity Management. 一种用于肥胖管理的移动饮食监测系统。

Journal of health & medical informatics Pub Date : 2018-01-01 Epub Date: 2018-04-06 DOI: 10.4172/2157-7420.1000307

Bruno Vieira Resende E Silva, Milad Ghiasi Rad, Juan Cui, Megan McCabe, Kaiyue Pan

引用次数: 13

A Survey on Automated Food Monitoring and Dietary Management Systems. 自动化食品监测与膳食管理系统研究进展。

Journal of health & medical informatics Pub Date : 2017-01-01 Epub Date: 2017-07-15 DOI: 10.4172/2157-7420.1000272

Vieira Bruno, Silva Resende, Cui Juan

引用次数: 33

Physician Opinions about EHR Use by EHR Experience and by Whether the Practice had optimized its EHR Use 医生对电子病历使用的意见，根据电子病历经验和实践是否优化了电子病历的使用

Journal of health & medical informatics Pub Date : 2016-07-30 DOI: 10.4172/2157-7420.1000240

EW Jamoom, D. Heisey-Grove, N. Yang, P. Scanlon

{"title":"Physician Opinions about EHR Use by EHR Experience and by Whether the Practice had optimized its EHR Use","authors":"EW Jamoom, D. Heisey-Grove, N. Yang, P. Scanlon","doi":"10.4172/2157-7420.1000240","DOIUrl":"https://doi.org/10.4172/2157-7420.1000240","url":null,"abstract":"Optimization and experience with using EHRs may improve physician experiences. Physician opinions about EHR-related impacts, and the extent to which these impacts differ by self-reported optimized EHR use and length of experience are examined through nationally representative physician data of EHR users from the National Electronic Health Records Survey extended survey (n=1,471). Logistic regression models first estimated how physicians’ length of times using an EHR were associated with each EHR-related impact. Additionally, a similar set of models estimated the association of self-reported optimized EHR use with each EHR impact. At least 70% of physicians using EHRs continue to attribute their administrative burdens to their EHR use. Physicians with 4 or more years of EHR experience accounted for 58% of those using EHRs. About 71% of EHR users self-reported using an optimized EHR. Physicians with more EHR experience and those in practices that optimized EHR use had positive opinions about the impacts of using EHRs, compared to their counterparts. These findings suggest that longer experience with EHRs improves perceptions about EHR use; and that perceived EHR use optimization is crucial to identifying EHR-related benefits. Finding ways to reduce EHR-related administrative burden has yet to be addressed.","PeriodicalId":90900,"journal":{"name":"Journal of health & medical informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2157-7420.1000240","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70362424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

A Randomised Single-Blinded Controlled Trial on the Effectiveness of Brief Advice on Smoking Cessation among Tertiary Students in Malaysia. 关于马来西亚大专学生戒烟简短建议效果的随机单盲对照试验。

Journal of health & medical informatics Pub Date : 2016-02-01 Epub Date: 2016-02-28 DOI: 10.4172/2161-1459.1000217

Wdas De Silva, R Awang, S Samsudeen, F Hanna

{"title":"A Randomised Single-Blinded Controlled Trial on the Effectiveness of Brief Advice on Smoking Cessation among Tertiary Students in Malaysia.","authors":"Wdas De Silva, R Awang, S Samsudeen, F Hanna","doi":"10.4172/2161-1459.1000217","DOIUrl":"10.4172/2161-1459.1000217","url":null,"abstract":"Introduction: Tobacco smoking, a habitual behavior, is addictive and detrimental to health. Quitting requires personal abilities and environmental opportunities and therefore, improving these abilities and opportunities will undoubtedly act on smokers' motivation to quit.Methods: A prospective single-blinded randomized controlled interventional study was conducted among first year undergraduate students in Malaysia. A total of eighty smokers were randomly allocated to a control or intervention groups (40/40). Randomization remained concealed from research personnel. All participants were followed up for six months to evaluate abstinence.Results: Quit line enrolment rate of the intervention group was 55% (22) compared to 7.5% (3) in the control (P < 0.001 95% CI 30.1 - 64.9). In the intervention group 27% (6) sustained quitting for six months compared to none in the control group.Conclusion: This study has shown that brief advice for smoking cessation is more effective than an information leaflet alone to promote quitting and that to maintain abstinence quit line follow up is necessary. Larger samples size and longer follow up studies are needed to further confirm these findings.","PeriodicalId":90900,"journal":{"name":"Journal of health & medical informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828919/pdf/nihms-769392.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34406309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Randomised Single-Blinded Controlled Trial on the Effectiveness of Brief Advice on Smoking Cessation among Tertiary Students in Malaysia. 一项随机单盲对照试验关于马来西亚大学生戒烟简短建议的有效性。

Journal of health & medical informatics Pub Date : 2016-01-01 DOI: 10.4172/2157-7420.1000217

W. D. De Silva, R. Awang, S. Samsudeen, F. Hanna

{"title":"A Randomised Single-Blinded Controlled Trial on the Effectiveness of Brief Advice on Smoking Cessation among Tertiary Students in Malaysia.","authors":"W. D. De Silva, R. Awang, S. Samsudeen, F. Hanna","doi":"10.4172/2157-7420.1000217","DOIUrl":"https://doi.org/10.4172/2157-7420.1000217","url":null,"abstract":"INTRODUCTION Tobacco smoking, a habitual behavior, is addictive and detrimental to health. Quitting requires personal abilities and environmental opportunities and therefore, improving these abilities and opportunities will undoubtedly act on smokers' motivation to quit. METHODS A prospective single-blinded randomized controlled interventional study was conducted among first year undergraduate students in Malaysia. A total of eighty smokers were randomly allocated to a control or intervention groups (40/40). Randomization remained concealed from research personnel. All participants were followed up for six months to evaluate abstinence. RESULTS Quit line enrolment rate of the intervention group was 55% (22) compared to 7.5% (3) in the control (P < 0.001 95% CI 30.1 - 64.9). In the intervention group 27% (6) sustained quitting for six months compared to none in the control group. CONCLUSION This study has shown that brief advice for smoking cessation is more effective than an information leaflet alone to promote quitting and that to maintain abstinence quit line follow up is necessary. Larger samples size and longer follow up studies are needed to further confirm these findings.","PeriodicalId":90900,"journal":{"name":"Journal of health & medical informatics","volume":"7 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70362369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Why Health Services Research Needs Geoinformatics: Rationale and Case Example. 为什么健康服务研究需要地理信息学？理由和案例。

Journal of health & medical informatics Pub Date : 2014-12-01

Tracy Onega, Jennifer Alford-Teaster, Steven Andrews, Craig Ganoe, Mike Perez, King David, Xun Shi

引用次数: 0

Why Health Services Research Needs Geoinformatics: Rationale and Case Example 为什么卫生服务研究需要地理信息学:理论基础和案例

Journal of health & medical informatics Pub Date : 2014-12-01 DOI: 10.4172/2157-7420.1000176

T. Onega, Jennifer A. Alford-Teaster, Steven B. Andrews, C. Ganoe, M. Perez, King David, Xun Shi

{"title":"Why Health Services Research Needs Geoinformatics: Rationale and Case Example","authors":"T. Onega, Jennifer A. Alford-Teaster, Steven B. Andrews, C. Ganoe, M. Perez, King David, Xun Shi","doi":"10.4172/2157-7420.1000176","DOIUrl":"https://doi.org/10.4172/2157-7420.1000176","url":null,"abstract":"Delivery of health care in the United States has become increasingly complex over the past 50 years, as health care markets have evolved, technology has diffused, population demographics have shifted, and cultural expectations of health and health care have been transformed. Identifying and understanding important patterns of health care services, accessibility, utilization, and outcomes can best be accomplished by combining data from all of these dimensions in near-real time. The Big Data paradigm provides a new framework to bring together very large volumes of data from a variety of sources and formats, with computing capacity to derive new information, hypotheses, and inferences [1,2]. The complementary fields of genomics and bioinformatics have already made great advances only made possible by Big Data approaches. Similar gains can be made by pairing health services research with geoinformatics –- defined as “the science and technology dealing with the structure and character of spatial information, its capture, its classification and qualification, its storage, processing, portrayal and dissemination, including the infrastructure necessary to secure optimal use of this information” [3]. Integrating geospatial technologies with health services research brings informatics approaches, data sciences, and spatial theories of health and healthcare together to explore relationships among geography, health, and delivery of care in novel ways made possible through geoinformatics. synergy between the two disciplines will enhance our ability to discover how health care is delivered most effectively for the greatest health benefits across populations.","PeriodicalId":90900,"journal":{"name":"Journal of health & medical informatics","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70362357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

The Asymptotic Noise Distribution in Karhunen-Loeve Transform Eigenmodes Karhunen-Loeve变换特征模态中的渐近噪声分布

Journal of health & medical informatics Pub Date : 2013-02-03 DOI: 10.4172/2157-7420.1000122

Yu Ding, H. Xue, N. Jin, Yiu-Cho Chung, Xin Liu, Yongqin Zhang, O. Simonetti

引用次数: 0