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Healthcare Informatics Research

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https://www.readbyqxmd.com/read/30443429/augmented-reality-to-localize-individual-organ-in-surgical-procedure
#1
Dongheon Lee, Jin Wook Yi, Jeeyoung Hong, Young Jun Chai, Hee Chan Kim, Hyoun-Joong Kong
Objectives: Augmented reality (AR) technology has become rapidly available and is suitable for various medical applications since it can provide effective visualization of intricate anatomical structures inside the human body. This paper describes the procedure to develop an AR app with Unity3D and Vuforia software development kit and publish it to a smartphone for the localization of critical tissues or organs that cannot be seen easily by the naked eye during surgery. Methods: In this study, Vuforia version 6...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443428/how-to-sustain-smart-connected-hospital-services-an-experience-from-a-pilot-project-on-iot-based-healthcare-services
#2
Arum Park, Hyejung Chang, Kyoung Jun Lee
Objectives: This paper describes an experience of implementing seamless service trials online and offline by adopting Internet of Things (IoT) technology based on near-field communication (NFC) tags and Bluetooth low-energy (BLE) beacons. The services were provided for both patients and health professionals. Methods: The pilot services were implemented to enhance healthcare service quality, improve patient safety, and provide an effective business process to health professionals in a tertiary hospital in Seoul, Korea...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443427/ecological-momentary-assessment-using-smartphone-based-mobile-application-for-affect-and-stress-assessment
#3
Yong Sook Yang, Gi Wook Ryu, Insu Han, Seojin Oh, Mona Choi
Objectives: This study aimed to describe the process of utilizing a mobile application for ecological momentary assessment (EMA) to collect data on stress and mood in daily life setting. Methods: A mobile application for the Android operating system was developed and installed with a set of questions regarding momentary mood and stress into a smartphone of a participant. The application sets alarms at semi-random intervals in 60-minute blocks, four times a day for 7 days...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443426/design-and-construction-of-a-nlp-based-knowledge-extraction-methodology-in-the-medical-domain-applied-to-clinical-information
#4
Denis Cedeño Moreno, Miguel Vargas-Lombardo
Objectives: This research presents the design and development of a software architecture using natural language processing tools and the use of an ontology of knowledge as a knowledge base. Methods: The software extracts, manages and represents the knowledge of a text in natural language. A corpus of more than 200 medical domain documents from the general medicine and palliative care areas was validated, demonstrating relevant knowledge elements for physicians. Results: Indicators for precision, recall and F-measure were applied...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443425/laboratory-environment-monitoring-implementation-experience-and-field-study-in-a-tertiary-general-hospital
#5
Seungjin Kang, Hyunyoung Baek, Sunhee Jun, Soonhee Choi, Hee Hwang, Sooyoung Yoo
Objectives: To successfully introduce an Internet of Things (IoT) system in the hospital environment, this study aimed to identify issues that should be considered while implementing an IoT based on a user demand survey and practical experiences in implementing IoT environment monitoring systems. Methods: In a field test, two types of IoT monitoring systems (on-premises and cloud) were used in Department of Laboratory Medicine and tested for approximately 10 months from June 16, 2016 to April 30, 2017...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443424/public-acceptance-of-a-health-information-exchange-in-korea
#6
Hayoung Park, Jong Son Park, Hye Rin Lee, Soomin Kim
Objectives: We assessed the public acceptance of a health information exchange (HIE) and examined factors that influenced the acceptance and associations among constructs of the Technology Acceptance Model (TAM). Methods: We collected data from a survey of 1,000 individuals in Korea, which was administered through a structured questionnaire. We assessed the validity and reliability of the survey instrument with exploratory factor analysis and Cronbach's alpha coefficients...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443423/bayesian-network-model-to-evaluate-the-effectiveness-of-continuous-positive-airway-pressure-treatment-of-sleep-apnea
#7
Olli-Pekka Ryynänen, Timo Leppänen, Pekka Kekolahti, Esa Mervaala, Juha Töyräs
Objectives: The association between obstructive sleep apnea (OSA) and mortality or serious cardiovascular events over a long period of time is not clearly understood. The aim of this observational study was to estimate the clinical effectiveness of continuous positive airway pressure (CPAP) treatment on an outcome variable combining mortality, acute myocardial infarction (AMI), and cerebrovascular insult (CVI) during a follow-up period of 15.5 years (186 ± 58 months). Methods: The data set consisted of 978 patients with an apnea-hypopnea index (AHI) ≥5...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443422/automated-detection-of-retinal-nerve-fiber-layer-by-texture-based-analysis-for-glaucoma-evaluation
#8
Anindita Septiarini, Agus Harjoko, Reza Pulungan, Retno Ekantini
Objectives: The retinal nerve fiber layer (RNFL) is a site of glaucomatous optic neuropathy whose early changes need to be detected because glaucoma is one of the most common causes of blindness. This paper proposes an automated RNFL detection method based on the texture feature by forming a co-occurrence matrix and a backpropagation neural network as the classifier. Methods: We propose two texture features, namely, correlation and autocorrelation based on a co-occurrence matrix...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443421/association-between-electronic-medical-record-system-adoption-and-healthcare-information-technology-infrastructure
#9
Youn-Tae Lee, Young-Taek Park, Jae-Sung Park, Byoung-Kee Yi
Objectives: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. Methods: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443420/design-of-a-hospice-referral-system-for-terminally-ill-cancer-patients-using-a-standards-based-health-information-exchange-system
#10
Kahyun Lim, Jeong-Whun Kim, Sooyoung Yoo, Eunyoung Heo, Hyerim Ji, Beodeul Kang
Objectives: The demand for hospice has been increasing among patients with cancer. This study examined the current hospice referral scenario for terminally ill cancer patients and created a data form to collect hospice information and a modified health information exchange (HIE) form for a more efficient referral system for terminally ill cancer patients. Methods: Surveys were conducted asking detailed information such as medical instruments and patient admission policies of hospices, and interviews were held to examine the current referral flow and any additional requirements...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443419/arousal-and-valence-classification-model-based-on-long-short-term-memory-and-deap-data-for-mental-healthcare-management
#11
Eun Jeong Choi, Dong Keun Kim
Objectives: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses images, texts, and physiological signals that employ deep learning, is actively underway; research investigating how to improve the recognition rate is needed. The goal of this research was to design a deep learning framework and model to classify arousal and valence, indicating positive and negative degrees of emotion as high or low...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443418/google-search-trends-predicting-disease-outbreaks-an-analysis-from-india
#12
Madhur Verma, Kamal Kishore, Mukesh Kumar, Aparajita Ravi Sondh, Gaurav Aggarwal, Soundappan Kathirvel
Objectives: Prompt detection is a cornerstone in the control and prevention of infectious diseases. The Integrated Disease Surveillance Project of India identifies outbreaks, but it does not exactly predict outbreaks. This study was conducted to assess temporal correlation between Google Trends and Integrated Disease Surveillance Programme (IDSP) data and to determine the feasibility of using Google Trends for the prediction of outbreaks or epidemics. Methods: The Google search queries related to malaria, dengue fever, chikungunya, and enteric fever for Chandigarh union territory and Haryana state of India in 2016 were extracted and compared with presumptive form data of the IDSP...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443417/preferences-of-ict-among-patients-with-chronic-kidney-disease-undergoing-hemodialysis-an-ecuadorian-cross-sectional-study
#13
Ivan Cherrez-Ojeda, Miguel Felix, Valeria L Mata, Emanuel Vanegas, Antonio W D Gavilanes, Peter Chedraui, Daniel Simancas-Racines, Juan Carlos Calderon, Fabian Ortiz, Guillermina Blum, Angela Plua, Gino Gonzalez, Grace Moscoso, Walter Morquecho
Objectives: The aim of the present study was to assess the frequency of use, and preferences regarding information and communication technologies (ICTs) among Ecuadorian patients with chronic kidney disease (CKD) undergoing hemodialysis. Methods: We conducted an anonymous cross-sectional survey-based study from January 2016 to April 2017, involving 393 patients with end-stage renal disease from 9 hemodialysis centers, in which they rated their use and preferences of various ICTs through a modified version of the Michigan Questionnaire...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443416/need-assessment-for-smartphone-based-cardiac-telerehabilitation
#14
Ji-Su Kim, Doeun Yun, Hyun Joo Kim, Ho-Youl Ryu, Jaewon Oh, Seok-Min Kang
Objectives: To identify the current status of smartphone usage and to describe the needs for smartphone-based cardiac telerehabilitation of cardiac patients. Methods: In 2016, a questionnaire survey was conducted in a supervised ambulatory cardiac rehabilitation (CR) program in a university affiliated hospital with the participation of heart failure or heart transplantation patients who were smartphone users. The questionnaire included questions regarding smartphone usage, demands for smartphone-based disease education, and home health monitoring systems...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443415/effective-validation-model-and-use-of-mobile-health-applications-for-the-elderly
#15
Leonardo Juan Ramirez Lopez, Edward Paul Guillen Pinto, Carlos Omar Ramos Linares
Objectives: Due to the uncontrolled increase of the mobile health applications and their scarce use by elderly for reason of absence credibility of measurements by lack scientific support, the aim of this study was to evaluate the differences between the biophysical measurements based on standard instrument against a mobile application using controlled experiments with elderly to propose an effective validation model of the developed apps. Methods: The subjects of the study (50 people) were elderly people who wanted to check their weight and cardiac status...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443414/automated-audiometry-a-review-of-the-implementation-and-evaluation-methods
#16
REVIEW
Hassan Shojaeemend, Haleh Ayatollahi
Objectives: Automated audiometry provides an opportunity to do audiometry when there is no direct access to a clinical audiologist. This approach will help to use hearing services and resources efficiently. The purpose of this study was to review studies related to automated audiometry by focusing on the implementation of an audiometer, the use of transducers and evaluation methods. Methods: This review study was conducted in 2017. The papers related to the design and implementation of automated audiometry were searched in the following databases: Science Direct, Web of Science, PubMed, and Scopus...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443413/digital-epidemiology-use-of-digital-data-collected-for-non-epidemiological-purposes-in-epidemiological-studies
#17
REVIEW
Hyeoun-Ae Park, Hyesil Jung, Jeongah On, Seul Ki Park, Hannah Kang
Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies...
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30443412/making-sense-of-the-big-picture-data-linkage-and-integration-in-the-era-of-big-data
#18
EDITORIAL
Hyejung Chang
No abstract text is available yet for this article.
October 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30109159/correction-using-statistical-and-machine-learning-methods-to-evaluate-the-prognostic-accuracy-of-sirs-and-qsofa
#19
Akash Gupta, Tieming Liu, Scott Shepherd, William Paiva
[This corrects the article on p. 139 in vol. 24, PMID: 29770247.].
July 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/30109158/national-healthcare-service-and-its-big-data-analytics
#20
Da Jeong Nam, Hyuk Won Kwon, Haeyeon Lee, Eun Kyung Ahn
No abstract text is available yet for this article.
July 2018: Healthcare Informatics Research
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