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Healthcare Informatics Research

Kahyun Lim, Byung Mun Lee, Youngho Lee
OBJECTIVES: This study aimed to develop an effective and efficient obesity treatment and management service platform for obese children/teenagers. METHODS: The integrated smart platform was planned and established through cooperation with service providers such as hospitals and public health centers, obese children/teenagers who constitute the service's user base, and IT development and policy institutions and companies focusing on child-teen obesity management and treatment...
July 2016: Healthcare Informatics Research
Woong Bae Yoon, Hyunjin Kim, Kwang Gi Kim, Yongdoo Choi, Hee Jin Chang, Dae Kyung Sohn
OBJECTIVES: We produced hematoxylin and eosin (H&E) staining-like color images by using confocal laser scanning microscopy (CLSM), which can obtain the same or more information in comparison to conventional tissue staining. METHODS: We improved images by using several image converting techniques, including morphological methods, color space conversion methods, and segmentation methods. RESULTS: An image obtained after image processing showed coloring very similar to that in images produced by H&E staining, and it is advantageous to conduct analysis through fluorescent dye imaging and microscopy rather than analysis based on single microscopic imaging...
July 2016: Healthcare Informatics Research
Alireza Kazemi, Reza Rabiei, Hamid Moghaddasi, Ghasem Deimazar
OBJECTIVES: In hospitals, the pharmacy information system (PIS) is usually a sub-system of the hospital information system (HIS). The PIS supports the distribution and management of drugs, shows drug and medical device inventory, and facilitates preparing needed reports. In this study, pharmacy information systems implemented in general teaching hospitals affiliated to medical universities in Tehran (Iran) were evaluated using a multi-dimensional tool. METHODS: This was an evaluation study conducted in 2015...
July 2016: Healthcare Informatics Research
Young Ran Yeun, Suk Jung Han
OBJECTIVES: This study was conducted to perform an effect size analysis of psychosocial interventions for internet addiction and to identify the intervention moderators applied to school-aged children. METHODS: For the meta-analysis, studies were included that were published in English or Korean until January 2015, without limitation in terms of the year. They were retrieved from 11 electronic databases and by manual searches according to predefined inclusion criteria...
July 2016: Healthcare Informatics Research
Youngshin Song, Miyoung Lee, Younghee Jun, Yoonhee Lee, Jeonghwa Cho, Myoungjin Kwon, Heonman Lim
OBJECTIVES: Despite the importance of the protection of patients' health information in clinical settings, little is known about the awareness of this concept in nursing students due to the lack of a suitable measurement tool. Hence, this study attempted to redevelop the Patients' Health Information Protection Awareness Scale, and evaluate its construct validity and reliability for nursing students. METHODS: A cross-sectional descriptive study was conducted. Nursing students who were in their 3rd and 4th year were recruited from 10 universities in Korea to assess the construct validity, and 30 experts (27 nurses and 3 faculty members) participated in the content validation process...
July 2016: Healthcare Informatics Research
Eka Miranda, Edy Irwansyah, Alowisius Y Amelga, Marco M Maribondang, Mulyadi Salim
OBJECTIVES: The number of deaths caused by cardiovascular disease and stroke is predicted to reach 23.3 million in 2030. As a contribution to support prevention of this phenomenon, this paper proposes a mining model using a naïve Bayes classifier that could detect cardiovascular disease and identify its risk level for adults. METHODS: The process of designing the method began by identifying the knowledge related to the cardiovascular disease profile and the level of cardiovascular disease risk factors for adults based on the medical record, and designing a mining technique model using a naïve Bayes classifier...
July 2016: Healthcare Informatics Research
Wiharto Wiharto, Hari Kusnanto, Herianto Herianto
OBJECTIVES: The interpretation of clinical data for the diagnosis of coronary heart disease can be done using algorithms in data mining. Most clinical data interpretation systems for diagnosis developed using data mining algorithms with a black-box approach cannot recognize examination attribute relationships with the incidence of coronary heart disease. METHODS: This study proposes a system to interpretation clinical examination results for the diagnosis of coronary heart disease based the decision tree algorithm...
July 2016: Healthcare Informatics Research
Young-Taek Park, Youn Tae Lee, Emmanuel C Jo
OBJECTIVES: The objective of this investigation was to demonstrate the possibility of the construction of a real-time prescription drug monitoring system (PDMOS) using data from the nationwide Drug Utilization Review (DUR) system in Korea. METHODS: The DUR system collects information on drug prescriptions issued by healthcare practitioners and on drugs dispensed by pharmacies. PDMOS was constructed using this data. The screen of PDMOS is designed to exhibit the number of drug prescriptions, the number of prescriptions dispensed by pharmacies, and the dispensed prescription drug costs on a daily and weekly basis...
July 2016: Healthcare Informatics Research
Mira Baek, Bo Kyung Koo, Byoung Jae Kim, Kyung-Ran Hong, Jongdeuk Kim, Sooyoung Yoo, Hee Hwang, Jeongwan Seo, Donghyeok Kim, Kichul Shin
OBJECTIVES: To develop a tool which can easily access the hospital information system (HIS) to facilitate outpatient care and maximize patient satisfaction on his or her hospital visit. METHODS: Our Center for Informatics developed an outpatient guidance system (OGS) after careful analysis of the list of daily tasks undergone by patients and related work processes. Bluetooth beacons were installed to assist patients, to inform them of points of interest, and to guide them along the proper routes to and within the hospital...
July 2016: Healthcare Informatics Research
Paul Kim, Ji-Young An
OBJECTIVES: This article reviews an evaluation vector model driven from a participatory action research leveraging a collective inquiry system named SMILE (Stanford Mobile Inquiry-based Learning Environment). METHODS: SMILE has been implemented in a diverse set of collective inquiry generation and analysis scenarios including community health care-specific professional development sessions and community-based participatory action research projects. In each scenario, participants are given opportunities to construct inquiries around physical and emotional health-related phenomena in their own community...
July 2016: Healthcare Informatics Research
Dimiter V Dimitrov
OBJECTIVES: A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. These include devices that constantly monitor health indicators, devices that auto-administer therapies, or devices that track real-time health data when a patient self-administers a therapy. Because they have increased access to high-speed Internet and smartphones, many patients have started to use mobile applications (apps) to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (mIoT)...
July 2016: Healthcare Informatics Research
Hyejung Chang, Mona Choi
No abstract text is available yet for this article.
July 2016: Healthcare Informatics Research
Eunjoo Jeon, Jeongeun Kim, Hyeoun-Ae Park, Ji-Hyun Lee, Jungha Kim, Meiling Jin, Shinae Ahn, Jooyeon Jun, Healim Song, Jeongah On, Hyesil Jung, Yeong Joo Hong, Suran Yim
OBJECTIVES: This study presents the current status of nursing informatics education, the content covered in nursing informatics courses, the faculty efficacy, and the barriers to and additional supports for teaching nursing informatics in Korea. METHODS: A set of questionnaires consisting of an 18-item questionnaire for nursing informatics education, a 6-item questionnaire for faculty efficacy, and 2 open-ended questions for barriers and additional supports were sent to 204 nursing schools via email and the postal service...
April 2016: Healthcare Informatics Research
Hyun Sang Park, Hune Cho, Hwa Sun Kim
OBJECTIVES: This study developed an integrated database for 15 regional biobanks that provides large quantities of high-quality bio-data to researchers to be used for the prevention of disease, for the development of personalized medicines, and in genetics studies. METHODS: We collected raw data, managed independently by 15 regional biobanks, for database modeling and analyzed and defined the metadata of the items. We also built a three-step (high, middle, and low) classification system for classifying the item concepts based on the metadata...
April 2016: Healthcare Informatics Research
Injoo Kim, Shin Hae Lee, Jinwoo Jeong, Jun Hyung Park, Mi Ae Yoo, Cheol Min Kim
OBJECTIVES: Methyl-CpG binding protein 2 (MeCP2) is a ubiquitous epigenetic factor that represses gene expression by modifying chromatin. Mutations in the MeCP2 gene cause Rett syndrome, a progressive neurodevelopmental disorder. Recent studies also have shown that MeCP2 plays a role in carcinogenesis. Specifically, functional ablation of MeCP2 suppresses cell growth and leads to the proliferation of cancer cells. However, MeCP2's function in adult tissues remains poorly understood. We utilized a weight matrix-based comparison software to identify transcription factor binding site (TFBS) of MeCP2-regulated genes, which were recognized by cDNA microarray analysis...
April 2016: Healthcare Informatics Research
Leila Shahmoradi, Mahtab Karami, Ahmadreza Farzaneh Nejad
OBJECTIVES: In this study, a knowledge audit was conducted based on organizational intelligence quotient (OIQ) principles of Iran's Ministry of Health and Medical Education (MOHME) to determine levers that can enhance OIQ in healthcare. METHODS: The mixed method study was conducted within the MOHME. The study population consisted of 15 senior managers and policymakers. A tool based on literature review and panel expert opinions was developed to perform a knowledge audit...
April 2016: Healthcare Informatics Research
Jae-Young Choi, Yong-Fang Kuo, James S Goodwin, Jinhyung Lee
OBJECTIVES: Disparities in healthcare among minority groups can result in disparate treatments for similar severities of symptoms, unequal access to medical care, and a wide deviation in health outcomes. Such racial disparities may be reduced via use of an Electronic Medical Record (EMR) system. However, there has been little research investigating the impact of EMR systems on the disparities in health outcomes among minority groups. METHODS: This study examined the impact of EMR systems on the following four outcomes of black patients: length of stay, inpatient mortality rate, 30-day mortality rate, and 30-day readmission rate, using patient and hospital data from the Medicare Provider Analysis and Review and the Healthcare Information and Management Systems Society between 2000 and 2007...
April 2016: Healthcare Informatics Research
Meysam Jahani, Mahdi Mahdavi
OBJECTIVES: This study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts. METHODS: We used memetic algorithms to update weights and to improve prediction accuracy of models. In the first step, the optimum amount for neural network parameters such as momentum rate, transfer function, and error function were obtained through trial and error and based on the results of previous studies...
April 2016: Healthcare Informatics Research
Woojae Kim, Ku Sang Kim, Rae Woong Park
OBJECTIVES: Breast cancer has a high rate of recurrence, resulting in the need for aggressive treatment and close follow-up. However, previously established classification guidelines, based on expert panels or regression models, are controversial. Prediction models based on machine learning show excellent performance, but they are not widely used because they cannot explain their decisions and cannot be presented on paper in the way that knowledge is customarily represented in the clinical world...
April 2016: Healthcare Informatics Research
Soo Youn Lee, Chan Hee Park, Jun Hee Yoon, Sunmin Yun, Ju Han Kim
OBJECTIVES: Major public high-throughput functional genomic data repositories, including the Gene Expression Omnibus (GEO) and ArrayExpress have rapidly expanded. As a result, a large number of diverse high-throughput functional genomic data retrieval systems have been developed. However, high-throughput functional genomic data retrieval remains challenging. METHODS: We developed Gene Expression data Explore (GEE), the first powerful, flexible web and mobile search application for searching whole-genome epigenetic data and microarray data in public databases, such as GEO and ArrayExpress...
April 2016: Healthcare Informatics Research
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