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Healthcare Informatics Research

Ae Ran Kim, Hyeoun-Ae Park, Tae-Min Song
[This corrects the article on p. 159 in vol. 23, PMID: 28875050.].
January 2018: Healthcare Informatics Research
Jang Hyung Lee, Kwang Gi Kim
Objectives: A diagnostic need often arises to estimate bone age from X-ray images of the hand of a subject during the growth period. Together with measured physical height, such information may be used as indicators for the height growth prognosis of the subject. We present a way to apply the deep learning technique to medical image analysis using hand bone age estimation as an example. Methods: Age estimation was formulated as a regression problem with hand X-ray images as input and estimated age as output...
January 2018: Healthcare Informatics Research
Punyotai Thamjamrassri, YuJin Song, JaeHyun Tak, HoYong Kang, Hyoun-Joong Kong, Jeeyoung Hong
Objectives: Customer discovery (CD) is a method to determine if there are actual customers for a product/service and what they would want before actually developing the product/service. This concept, however, is rather new to health information technology (IT) systems. Therefore, the aim of this paper was to demonstrate how to use the CD method in developing a comprehensive health IT service for patients with knee/leg pain. Methods: We participated in a 6-week I-Corps program to perform CD, in which we interviewed 55 people in person, by phone, or by video conference within 6 weeks: 4 weeks in the United States and 2 weeks in Korea...
January 2018: Healthcare Informatics Research
Myung Kyung Lee, Bu Kyung Park
Objectives: This study examined the effect of flipped learning in comparison to traditional learning in a surgical nursing practicum. Methods: The subjects of this study were 102 nursing students in their third year of university who were scheduled to complete a clinical nursing practicum in an operating room or surgical unit. Participants were randomly assigned to either a flipped learning group (n = 51) or a traditional learning group (n = 51) for the 1-week, 45-hour clinical nursing practicum...
January 2018: Healthcare Informatics Research
Yong-Woon Kim, Namin Cho, Hye-Jung Jang
Objectives: Information technology involves a risk of privacy violation in providing easy access to confidential information,such as personal information and medical information through the Internet. In this study, we investigated medical information security to gain a better understanding of trends in research related to medical information security. Methods: We researched papers published on '의료정보' and 'medical information' in various Korean journals during a 10-year period from 2005 to 2015...
January 2018: Healthcare Informatics Research
Anindita Septiarini, Dyna M Khairina, Awang H Kridalaksana, Hamdani Hamdani
Objectives: Glaucoma is an incurable eye disease and the second leading cause of blindness in the world. Until 2020, the number of patients of this disease is estimated to increase. This paper proposes a glaucoma detection method using statistical features and the k-nearest neighbor algorithm as the classifier. Methods: We propose three statistical features, namely, the mean, smoothness and 3rd moment, which are extracted from images of the optic nerve head. These three features are obtained through feature extraction followed by feature selection using the correlation feature selection method...
January 2018: Healthcare Informatics Research
Sungkee Lee, Hyoungho Do
Objectives: Increasing use of medical devices outside of healthcare facilities inevitably requires connectivity and interoperability between medical devices and healthcare information systems. To this end, standards have been developed and used to provide interoperability between personal health devices (PHDs) and external systems. ISO/IEEE 11073 standards and IHE PCD-01 standard messages have been used the most in the exchange of observation data of health devices. Recently, transmitting observation data using the HL7 FHIR standard has been devised in the name of DoF (Devices on FHIR) and adopted very fast...
January 2018: Healthcare Informatics Research
Harleigh Schumer, Chioma Amadi, Ashish Joshi
Objectives: The objective of this study was to evaluate the features of diet and nutrition apps available in the Google Play Store. Methods: A search was conducted in August 2017 using the Google Play Store database to identify apps related to diet and nutrition. Terms entered into the app search engine included 'diet apps' and 'nutrition apps'. The first 50 apps resulting from each search term was assessed. Duplicates were removed, and a comparative analysis was performed on the remaining diet and nutrition apps...
January 2018: Healthcare Informatics Research
Ching-Yen Kuo, Liang-Chin Yu, Hou-Chaung Chen, Chien-Lung Chan
Objectives: The aims of this study were to compare the performance of machine learning methods for the prediction of the medical costs associated with spinal fusion in terms of profit or loss in Taiwan Diagnosis-Related Groups (Tw-DRGs) and to apply these methods to explore the important factors associated with the medical costs of spinal fusion. Methods: A data set was obtained from a regional hospital in Taoyuan city in Taiwan, which contained data from 2010 to 2013 on patients of Tw-DRG49702 (posterior and other spinal fusion without complications or comorbidities)...
January 2018: Healthcare Informatics Research
Bhornsawan Thanathornwong
Objectives: In this study, a clinical decision support system was developed to help general practitioners assess the need for orthodontic treatment in patients with permanent dentition. Methods: We chose a Bayesian network (BN) as the underlying model for assessing the need for orthodontic treatment. One thousand permanent dentition patient data sets chosen from a hospital record system were prepared in which one data element represented one participant with information for all variables and their stated need for orthodontic treatment...
January 2018: Healthcare Informatics Research
Hyeong Suk Lee, Jeongeun Kim
Objectives: This study aimed to derive specific user requirements and barriers in a real medical environment to define the essential elements and functions of two types of point-of-care (POC) robot: a telepresence robot as a tool for teleconsultation, and a bedside robot to provide emotional care for patients. Methods: An analysis of user requirements was conducted; user needs were gathered and identified, and detailed, realistic scenarios were created. The prototype robots were demonstrated in physical environments for envisioning and evaluation...
January 2018: Healthcare Informatics Research
Joohyun Kim, Hye Jin Kam, Yu Rang Park, Soyoung Yoo, Ji Seon Oh, Young-Hak Kim, Jae-Ho Lee
Objectives: Developments in advanced technology have unlocked an era of smart health, transforming healthcare practices inside and outside hospitals for both medical staff and patients. It is now possible for patients to collect detailed health data using smartphones and wearable devices, regardless of their physical location or time zone. The use of these patient-generated data holds great promise for future healthcare advancements in many ways; however, current strategies for smart-health technologies tend to focus on the smartness of the technology itself and on managing a particular disease or condition...
January 2018: Healthcare Informatics Research
Hyejung Chang, Hyoun-Joong Kong
No abstract text is available yet for this article.
January 2018: Healthcare Informatics Research
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
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
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
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
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
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
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
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