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Healthcare Informatics Research

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https://www.readbyqxmd.com/read/27895968/correction-methods-of-hematoxylin-and-eosin-image-information-acquisition-and-optimization-in-confocal-microscopy
#1
Woong Bae Yoon, Hyunjin Kim, Kwang Gi Kim, Yongdoo Choi, Hee Jin Chang, Dae Kyung Sohn
[This corrects the article on p. 238 in vol. 22, PMID: 27525165.].
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895967/medical-representatives-intention-to-use-information-technology-in-pharmaceutical-marketing
#2
Eun-Seon Kwak, Hyejung Chang
OBJECTIVES: Electronic detailing (e-detailing), the use of electronic devices to facilitate sales presentations to physicians, has been adopted and expanded in the pharmaceutical industry. To maximize the potential outcome of e-detailing, it is important to understand medical representatives (MRs)' behavior and attitude to e-detailing. This study investigates how information technology devices such as laptop computers and tablet PCs are utilized in pharmaceutical marketing, and it analyzes the factors influencing MRs' intention to use devices...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895966/acceptability-of-service-targets-for-ict-based-healthcare
#3
Eun Min Jeon, Hwa Jeong Seo
OBJECTIVES: In order to adopt and activate telemedicine it is necessary to survey how medical staff, who are providers of medical service, and consumers, who are the service targets, perceive information and communication technology (ICT)-based healthcare service. METHODS: This study surveyed the awareness and acceptability of ICT-based healthcare by involving service targets, specifically workers and students living in the Seoul and Gyeonggi regions who are consumers of healthcare service...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895965/confirmation-of-expectations-and-satisfaction-with-hospital-information-systems-a-nursing-perspective
#4
Haleh Ayatollahi, Mostafa Langarizadeh, Habib Chenani
OBJECTIVES: This study aimed to compare nurses' satisfaction with, and expectations of, hospital information systems in two teaching hospitals. METHODS: This was a survey study, which was completed in 2014. The potential participants were 267 nurses who worked in two teaching hospitals and used the same hospital information system. Data were collected using two questionnaires. Both questionnaires were examined in terms of content validity and reliability. RESULTS: The results showed that, for a majority of nurses, their expectations of the system were not met in either hospital...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895964/half-fan-based-intensity-weighted-region-of-interest-imaging-for-low-dose-cone-beam-ct-in-image-guided-radiation-therapy
#5
Boyeol Yoo, Kihong Son, Rizza Pua, Jinsung Kim, Alexander Solodov, Seungryong Cho
OBJECTIVES: With the increased use of computed tomography (CT) in clinics, dose reduction is the most important feature people seek when considering new CT techniques or applications. We developed an intensity-weighted region-of-interest (IWROI) imaging method in an exact half-fan geometry to reduce the imaging radiation dose to patients in cone-beam CT (CBCT) for image-guided radiation therapy (IGRT). While dose reduction is highly desirable, preserving the high-quality images of the ROI is also important for target localization in IGRT...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895963/evaluation-of-semi-automatic-segmentation-methods-for-persistent-ground-glass-nodules-on-thin-section-ct-scans
#6
Young Jae Kim, Seung Hyun Lee, Chang Min Park, Kwang Gi Kim
OBJECTIVES: This work was a comparative study that aimed to find a proper method for accurately segmenting persistent ground glass nodules (GGN) in thin-section computed tomography (CT) images after detecting them. METHODS: To do this, we first applied five types of semi-automatic segmentation methods (i.e., level-set-based active contour model, localized region-based active contour model, seeded region growing, K-means clustering, and fuzzy C-means clustering) to preprocessed GGN images, respectively...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895962/texture-analysis-of-supraspinatus-ultrasound-image-for-computer-aided-diagnostic-system
#7
Byung Eun Park, Won Seuk Jang, Sun Kook Yoo
OBJECTIVES: In this paper, we proposed an algorithm for recognizing a rotator cuff supraspinatus tendon tear using a texture analysis based on a histogram, gray level co-occurrence matrix (GLCM), and gray level run length matrix (GLRLM). METHODS: First, we applied a total of 57 features (5 first order descriptors, 40 GLCM features, and 12 GLRLM features) to each rotator cuff region of interest. Our results show that first order statistics (mean, skewness, entropy, energy, smoothness), GLCM (correlation, contrast, energy, entropy, difference entropy, homogeneity, maximum probability, sum average, sum entropy), and GLRLM features are helpful to distinguish a normal supraspinatus tendon and an abnormal supraspinatus tendon...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895961/automated-detection-algorithm-of-breast-masses-in-three-dimensional-ultrasound-images
#8
Ji-Wook Jeong, Donghoon Yu, Sooyeul Lee, Jung Min Chang
OBJECTIVES: We propose an automatic breast mass detection algorithm in three-dimensional (3D) ultrasound (US) images using the Hough transform technique. METHODS: One hundred twenty-five cropped images containing 68 benign and 60 malignant masses are acquired with clinical diagnosis by an experienced radiologist. The 3D US images are masked, subsampled, contrast-adjusted, and median-filtered as preprocessing steps before the Hough transform is used. Thereafter, we perform 3D Hough transform to detect spherical hyperplanes in 3D US breast image volumes, generate Hough spheres, and sort them in the order of votes...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895960/automatic-four-chamber-segmentation-using-level-set-method-and-split-energy-function
#9
Ho Chul Kang, Jeongjin Lee, Juneseuk Shin
OBJECTIVES: In this paper, we present an automatic method to segment four chambers by extracting a whole heart, separating the left and right sides of the heart, and spliting the atrium and ventricle regions from each heart in cardiac computed tomography angiography (CTA) efficiently. METHODS: We smooth the images by applying filters to remove noise. Next, the volume of interest is detected by using k-means clustering. In this step, the whole heart is coarsely extracted, and it is used for seed volumes in the next step...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895959/incidence-of-adult-in-hospital-cardiac-arrest-using-national-representative-patient-sample-in-korea
#10
Yuri Choi, In Ho Kwon, Jinwoo Jeong, Junyoung Chung, Younghoon Roh
OBJECTIVES: This study analyzed the incidence and characteristics of in-hospital cardiac arrest (IHCA) in Korea based on a sample group of patients that is representative of the population. METHODS: The incidence of IHCA in adults was extracted from HIRA-NIS-2009, a sample of all patients using medical services in Korea. IHCA patients were analyzed according to gender, age, type of medical institute, and classification under the 6th revision of the Korean Standard Classification of Diseases (KCD-6)...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895958/factors-associated-with-the-timeliness-of-electronic-nursing-documentation
#11
Meejung Ahn, Mona Choi, YoungAh Kim
OBJECTIVES: To investigate the factors associated with the timeliness of electronic nursing documentation using the entry time on the Electronic Medical Record (EMR) system. METHODS: As a retrospective study, data were extracted from January 1 to February 28, 2014 from a hospital EMR system and a nurses' personnel information system. The timeliness of instances of nursing documentation was categorized into 'timely' or 'untimely' according to whether the entry time was time-stamped within the working hours during each day, evening, or night shift...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895957/adoption-of-electronic-health-records-a-roadmap-for-india
#12
REVIEW
Sunil Kumar Srivastava
OBJECTIVES: The objective of the study was to create a roadmap for the adoption of Electronic Health Record (EHR) in India based an analysis of the strategies of other countries and national scenarios of ICT use in India. METHODS: The strategies for adoption of EHR in other countries were analyzed to find the crucial steps taken. Apart from reports collected from stakeholders in the country, the study relied on the experience of the author in handling several e-health projects...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895956/steps-in-moving-evidence-based-health-informatics-from-theory-to-practice
#13
REVIEW
Michael Rigby, Farah Magrabi, Philip Scott, Persephone Doupi, Hannele Hypponen, Elske Ammenwerth
OBJECTIVES: To demonstrate and promote the importance of applying a scientific process to health IT design and implementation, and of basing this on research principles and techniques. METHODS: A review by international experts linked to the IMIA Working Group on Technology Assessment and Quality Development. RESULTS: Four approaches are presented, linking to the creation of national professional expectations, adherence to research-based standards, quality assurance approaches to ensure safety, and scientific measurement of impact...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27895955/emerging-new-era-of-mobile-health-technologies
#14
EDITORIAL
Young-Taek Park
No abstract text is available yet for this article.
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27525166/development-of-child-teen-obesity-treatment-service-platform
#15
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
https://www.readbyqxmd.com/read/27525165/methods-of-hematoxylin-and-erosin-image-information-acquisition-and-optimization-in-confocal-microscopy
#16
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
https://www.readbyqxmd.com/read/27525164/pharmacy-information-systems-in-teaching-hospitals-a-multi-dimensional-evaluation-study
#17
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
https://www.readbyqxmd.com/read/27525163/effects-of-psychosocial-interventions-for-school-aged-children-s-internet-addiction-self-control-and-self-esteem-meta-analysis
#18
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
https://www.readbyqxmd.com/read/27525162/revision-of-the-measurement-tool-for-patients-health-information-protection-awareness
#19
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
https://www.readbyqxmd.com/read/27525161/detection-of-cardiovascular-disease-risk-s-level-for-adults-using-naive-bayes-classifier
#20
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
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