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Healthcare Informatics Research

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https://www.readbyqxmd.com/read/29181247/interactive-visualization-of-healthcare-data-using-tableau
#1
Inseok Ko, Hyejung Chang
Objectives: Big data analysis is receiving increasing attention in many industries, including healthcare. Visualization plays an important role not only in intuitively showing the results of data analysis but also in the whole process of collecting, cleaning, analyzing, and sharing data. This paper presents a procedure for the interactive visualization and analysis of healthcare data using Tableau as a business intelligence tool. Methods: Starting with installation of the Tableau Desktop Personal version 10...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181246/methods-using-social-media-and-search-queries-to-predict-infectious-disease-outbreaks
#2
Dong-Woo Seo, Soo-Yong Shin
Objectives: For earlier detection of infectious disease outbreaks, a digital syndromic surveillance system based on search queries or social media should be utilized. By using real-time data sources, a digital syndromic surveillance system can overcome the limitation of time-delay in traditional surveillance systems. Here, we introduce an approach to develop such a digital surveillance system. Methods: We first explain how the statistics data of infectious diseases, such as influenza and Middle East Respiratory Syndrome (MERS) in Korea, can be collected for reference data...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181245/usages-of-computers-and-smartphones-to-develop-dementia-care-education-program-for-asian-american-family-caregivers
#3
Jung-Ah Lee, Hannah Nguyen, Joan Park, Linh Tran, Trang Nguyen, Yen Huynh
Objectives: Families of ethnic minority persons with dementia often seek help at later stages of the disease. Little is known about the effectiveness of various methods in supporting ethnic minority dementia patients' caregivers. The objective of the study was to identify smartphone and computer usage among family caregivers of dementia patients (i.e., Korean and Vietnamese Americans) to develop dementia-care education programs for them. Methods: Participants were asked various questions related to their computer or smartphone usage in conjunction with needs-assessment interviews...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181244/system-for-collecting-biosignal-data-from-multiple-patient-monitoring-systems
#4
Dukyong Yoon, Sukhoon Lee, Tae Young Kim, JeongGil Ko, Wou Young Chung, Rae Woong Park
Objectives: Biosignal data include important physiological information. For that reason, many devices and systems have been developed, but there has not been enough consideration of how to collect and integrate raw data from multiple systems. To overcome this limitation, we have developed a system for collecting and integrating biosignal data from two patient monitoring systems. Methods: We developed an interface to extract biosignal data from Nihon Kohden and Philips monitoring systems...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181243/development-and-cross-cultural-validation-of-the-korean-version-of-smartphone-s-usability-heuristics-smash
#5
Yeo Won Jeong, Jung A Kim
Objectives: The purpose of this study was to develop and cross-culturally validate the Korean version of SMArtphone's uSability Heuristics (K-SMASH). Methods: In the study, it was used the adaptation process consisted of five stages, namely, translation, synthesis, back translation, expert committee review, and pretesting. In the pretesting stage, a mobile application, using the prefinal K-SMASH, was evaluated for the severity of usability problems by three experts in computer science and informatics...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181242/association-between-health-information-technology-and-case-mix-index
#6
Young-Taek Park, Junsang Lee, Jinhyung Lee
Objectives: Health information technology (IT) can assist healthcare providers in ordering medication and adhering to guidelines while improving communication among providers and the quality of care. However, the relationship between health IT and Case Mix Index (CMI) has not been thoroughly investigated; therefore, this study aimed to clarify this relationship. Methods: To examine the effect of health IT on CMI, a generalized estimation equation (GEE) was applied to two years of California hospital data...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181241/technology-and-policy-challenges-in-the-adoption-and-operation-of-health-information-exchange-systems
#7
Hyerim Ji, Sooyoung Yoo, Eun-Young Heo, Hee Hwang, Jeong-Whun Kim
Objectives: This study aimed to identify problems and issues that arise with the implementation of online health information exchange (HIE) systems in a medical environment and to identify solutions to facilitate the successful operation of future HIE systems in primary care clinics and hospitals. Methods: In this study, the issues that arose during the establishment and operation of an HIE system in a hospital were identified so that they could be addressed to enable the successful establishment and operation of a standard-based HIE system...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181240/satisfaction-with-paper-based-dental-records-and-perception-of-electronic-dental-records-among-dental-professionals-in-myanmar
#8
Sai Wai Yan Myint Thu, Boonchai Kijsanayotin, Jaranit Kaewkungwal, Ngamphol Soonthornworasiri, Wirichada Pan-Ngum
Objectives: To overcome challenges in the implementation of electronic dental record systems in a low-resource setting, it is crucial to know the level of users' satisfaction with the existing system of paper-based dental records and their perceptions of electronic dental records. Methods: A cross-sectional paper-based questionnaire survey was conducted among Myanmar dental professionals who worked in one of two teaching hospitals or in private dental clinics. Descriptive data were analyzed and regression analysis was carried out to identify factors influencing perceptions of electronic dental records...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181239/validity-of-principal-diagnoses-in-discharge-summaries-and-icd-10-coding-assessments-based-on-national-health-data-of-thailand
#9
Chongthawonsatid Sukanya
Objectives: This study examined the validity of the principal diagnoses on discharge summaries and coding assessments. Methods: Data were collected from the National Health Security Office (NHSO) of Thailand in 2015. In total, 118,971 medical records were audited. The sample was drawn from government hospitals and private hospitals covered by the Universal Coverage Scheme in Thailand. Hospitals and cases were selected using NHSO criteria. The validity of the principal diagnoses listed in the "Summary and Coding Assessment" forms was established by comparing data from the discharge summaries with data obtained from medical record reviews, and additionally, by comparing data from the coding assessments with data in the computerized ICD (the data base used for reimbursement-purposes)...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181238/development-of-a-stress-classification-model-using-deep-belief-networks-for-stress-monitoring
#10
Se-Hui Song, Dong Keun Kim
Objectives: Stress management is related to public healthcare and quality of life; an accurate stress classification method is necessary for the design of stress monitoring systems. Therefore, the goal of this study was to design a novel stress classification model using a deep learning method. Methods: In this paper, we present a stress classification model using the dataset from the sixth Korea National Health and Nutrition Examination Survey conducted from 2013 to 2015 (KNHANES VI) to analyze stress-related health data...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181237/prediction-of-kidney-graft-rejection-using-artificial-neural-network
#11
Leili Tapak, Omid Hamidi, Payam Amini, Jalal Poorolajal
Objectives: Kidney transplantation is the best renal replacement therapy for patients with end-stage renal disease. Several studies have attempted to identify predisposing factors of graft rejection; however, the results have been inconsistent. We aimed to identify prognostic factors associated with kidney transplant rejection using the artificial neural network (ANN) approach and to compare the results with those obtained by logistic regression (LR). Methods: The study used information regarding 378 patients who had undergone kidney transplantation from a retrospective study conducted in Hamadan, Western Iran, from 1994 to 2011...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181236/machine-learning-to-improve-the-effectiveness-of-anrs-in-predicting-hiv-drug-resistance
#12
Yashik Singh
Objectives: Human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) is one of the major burdens of disease in developing countries, and the standard-of-care treatment includes prescribing antiretroviral drugs. However, antiretroviral drug resistance is inevitable due to selective pressure associated with the high mutation rate of HIV. Determining antiretroviral resistance can be done by phenotypic laboratory tests or by computer-based interpretation algorithms...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181235/systematic-review-of-data-mining-applications-in-patient-centered-mobile-based-information-systems
#13
Mina Fallah, Sharareh R Niakan Kalhori
Objectives: Smartphones represent a promising technology for patient-centered healthcare. It is claimed that data mining techniques have improved mobile apps to address patients' needs at subgroup and individual levels. This study reviewed the current literature regarding data mining applications in patient-centered mobile-based information systems. Methods: We systematically searched PubMed, Scopus, and Web of Science for original studies reported from 2014 to 2016...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181234/clinical-decision-support-model-to-predict-occlusal-force-in-bruxism-patients
#14
Bhornsawan Thanathornwong, Siriwan Suebnukarn
Objectives: The aim of this study was to develop a decision support model for the prediction of occlusal force from the size and color of articulating paper markings in bruxism patients. Methods: We used the information from the datasets of 30 bruxism patients in which digital measurements of the size and color of articulating paper markings (12-┬Ám Hanel; Coltene/Whaledent GmbH, Langenau, Germany) on canine protected hard stabilization splints were measured in pixels (P) and in red (R), green (G), and blue (B) values using Adobe Photoshop software (Adobe Systems, San Jose, CA, USA)...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181233/development-and-application-of-direct-data-capture-for-monitoring-medication-compliance-in-clinical-trials
#15
Eun-Young Kim
Objectives: The monitoring of medication compliance in clinical trials is important but labor intensive. To check medication compliance in clinical trials, a system was developed, and its technical feasibility evaluated. Methods: The system consisted of three parts: a management part (clinical trial center database and a developed program), clinical trial investigator part (monitoring), and clinical trial participant part (personal digital assistant [PDA] with a barcode scanner)...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181232/machine-learning-to-compare-frequent-medical-problems-of-african-american-and-caucasian-diabetic-kidney-patients
#16
Yong-Mi Kim, Pranay Kathuria, Dursun Delen
Objectives: End-stage renal disease (ESRD), which is primarily a consequence of diabetes mellitus, shows an exemplary health disparity between African American and Caucasian patients in the United States. Because diabetic chronic kidney disease (CKD) patients of these two groups show differences in their medical problems, the markers leading to ESRD are also expected to differ. The purpose of this study was, therefore, to compare their medical complications at various levels of kidney function and to identify markers that can be used to predict ESRD...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29181231/remembering-our-roots
#17
EDITORIAL
Hyejung Chang
No abstract text is available yet for this article.
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/28875059/comparison-of-three-internship-training-sites-for-an-undergraduate-health-information-management-program-in-saudi-arabia
#18
Sulaiman Bah, Turki Alanzi
OBJECTIVES: While internship training is well established for medical records and for healthcare quality improvement, it is not quite so for training related to IT/health informatics. A comparison was made on the hospital-based IT/health informatics internship training received by students completing their training at the Imam AbdulRahman Bin Faisal University (IAU) in the Eastern province of Saudi Arabia. METHODS: The three hospitals studied all have the Joint Commission International accreditation and advanced Electronic Health Record (EHR) systems...
July 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/28875058/hierarchical-genetic-algorithm-and-fuzzy-radial-basis-function-networks-for-factors-influencing-hospital-length-of-stay-outliers
#19
Ahmed Belderrar, Abdeldjebar Hazzab
OBJECTIVES: Controlling hospital high length of stay outliers can provide significant benefits to hospital management resources and lead to cost reduction. The strongest predictive factors influencing high length of stay outliers should be identified to build a high-performance prediction model for hospital outliers. METHODS: We highlight the application of the hierarchical genetic algorithm to provide the main predictive factors and to define the optimal structure of the prediction model fuzzy radial basis function neural network...
July 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/28875057/citation-analysis-for-biomedical-and-health-sciences-journals-published-in-korea
#20
Juyeon Oh, Hyejung Chang, Jung A Kim, Mona Choi, Ziyoung Park, Yoonhee Cho, Eun-Gyu Lee
OBJECTIVES: A citation analysis of biomedical and health sciences journals was conducted based on their enlistment in journal databases to identify the factors contributing to the citation metrics. METHODS: Among the 1,219 academic journals managed by the National Center for Medical Information and Knowledge at the Korea Centers for Disease Control and Prevention, 556 journals were included for analysis as of July 2016. The characteristics of the journals include history years, publication media, language, open-access policy as well as the status enlisted in international and domestic databases, such as Science Citation Index (SCI), Scopus, Medline, PubMed Central, Embase, and Korea Citation Index (KCI)...
July 2017: Healthcare Informatics Research
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