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Healthcare Informatics Research

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
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
Dahee Chung, Junggu Choi, Jong-Hwan Jang, Tae Young Kim, JungHyun Byun, Hojun Park, Hong-Seok Lim, Rae Woong Park, Dukyong Yoon
Objectives: Electrocardiogram (ECG) data are important for the study of cardiovascular disease and adverse drug reactions. Although the development of analytical techniques such as machine learning has improved our ability to extract useful information from ECGs, there is a lack of easily available ECG data for research purposes. We previously published an article on a database of ECG parameters and related clinical data (ECG-ViEW), which we have now updated with additional 12-lead waveform information...
July 2018: Healthcare Informatics Research
Wiwiek Poedjiastoeti, Siriwan Suebnukarn
Objectives: Ameloblastomas and keratocystic odontogenic tumors (KCOTs) are important odontogenic tumors of the jaw. While their radiological findings are similar, the behaviors of these two types of tumors are different. Precise preoperative diagnosis of these tumors can help oral and maxillofacial surgeons plan appropriate treatment. In this study, we created a convolutional neural network (CNN) for the detection of ameloblastomas and KCOTs. Methods: Five hundred digital panoramic images of ameloblastomas and KCOTs were retrospectively collected from a hospital information system, whose patient information could not be identified, and preprocessed by inverse logarithm and histogram equalization...
July 2018: Healthcare Informatics Research
HyeJung Jang, JinSook Yoon, Yoon-Jung Kim, YungKyung Park
Objectives: The iris is the part of the eye that is colored, and it is an important feature in making an artificial eye. To address the lack of information about the brown Korean irises, we classified the colors and patterns of the irises of 100 Korean eyes. Methods: The iris colors were extracted from 100 different digital photographs of each eye using K-mean clustering image analysis. The RGB data of the extracted colors were converted to CIELAB color space data and analyzed to determine the representative color of the iris in each photograph...
July 2018: Healthcare Informatics Research
Myeunghee Han, Eunjoo Lee
Objectives: The purpose of this study was to examine the effectiveness of mobile health applications in changing health-related behaviors and clinical health outcomes. Methods: A systematic review was conducted in this study. We conducted a comprehensive bibliographic search of articles on health behavior changes related to the use of mobile health applications in peer-reviewed journals published between January 1, 2000 and May 31, 2017. We used databases including CHINAHL, Ovid-Medline, EMBASE, and PubMed...
July 2018: Healthcare Informatics Research
Ohhwan Kwon, Jinwoo Jeong, Hyung Bin Kim, In Ho Kwon, Song Yi Park, Ji Eun Kim, Yuri Choi
Objectives: Heart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios. The optimal electrocardiogram (ECG) sampling frequency required to ensure sufficient precision of R-R intervals for HRV analysis has not yet been determined. Here, we aimed to determine the acceptable ECG sampling frequency range by analyzing ECG signals from patients who visited an emergency department with the chief complaint of acute intoxication or overdose...
July 2018: Healthcare Informatics Research
Jae Yoon Yi, Yujin Kim, Yoon-Min Cho, Hongsoo Kim
Objectives: Population aging has increased the burden of chronic diseases globally. mHealth is often cited as a viable solution to enhance the management of chronic conditions. In this study, we conducted a systematic review of mHealth interventions for the self-management of chronic diseases in Korea, a highly-connected country with a high chronic care burden. Methods: Five databases were searched for relevant empirical studies that employed randomized controlled trial (RCT) or quasi-experimental methods published in English or Korean from the years 2008 to 2018...
July 2018: Healthcare Informatics Research
Wangjin Lee, Jinwook Choi
Objectives: Clinical discharge summaries provide valuable information about patients' clinical history, which is helpful for the realization of intelligent healthcare applications. The documents tend to take the form of separate segments based on temporal or topical information. If a patient's clinical history can be seen as a consecutive sequence of clinical events, then each temporal segment can be seen as a snapshot, providing a certain clinical context at a specific moment. This study aimed to demonstrate a temporal segmentation method of Korean clinical narratives for identifying textual snapshots of patient history as a proof-of-a-concept...
July 2018: Healthcare Informatics Research
Intan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymurthy
Objectives: Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming. To overcome this problem, we developed a system that can automatically classify sleep stages. Methods: This paper proposes a new method for sleep stage classification, called the fast convolutional method. The proposed method was evaluated against two sleep datasets...
July 2018: Healthcare Informatics Research
Yura Lee, Min-Young Jung, Gee Won Shin, Sangwoo Bahn, Taezoon Park, Insook Cho, Jae-Ho Lee
Objectives: The usability of clinical information systems (CISs) is known to be an essential consideration in ensuring patient safety as well as integrating clinical flow. This study aimed to determine how usability and safety guidelines of CIS consider clinical workflow through a systematic review in terms of the target systems, methodology, and guideline components of relevant articles. Methods: A literature search was conducted for articles published from 2000 to 2015 in PubMed, Cochrane, EMBASE, Web of Science, and CINAHL...
July 2018: Healthcare Informatics Research
Jeongeun Kim
No abstract text is available yet for this article.
July 2018: Healthcare Informatics Research
Anshul Aggarwal, Sunita Garhwal, Ajay Kumar
Objectives: One of the most important functions for a medical practitioner while treating a patient is to study the patient's complete medical history by going through all records, from test results to doctor's notes. With the increasing use of technology in medicine, these records are mostly digital, alleviating the problem of looking through a stack of papers, which are easily misplaced, but some of these are in an unstructured form. Large parts of clinical reports are in written text form and are tedious to use directly without appropriate pre-processing...
April 2018: Healthcare Informatics Research
Akash Gupta, Tieming Liu, Scott Shepherd, William Paiva
Objectives: The objective of this study was to compare the performance of two popularly used early sepsis diagnostic criteria, systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment (qSOFA), using statistical and machine learning approaches. Methods: This retrospective study examined patient visits in Emergency Department (ED) with sepsis related diagnosis. The outcome was 28-day in-hospital mortality. Using odds ratio (OR) and modeling methods (decision tree [DT], multivariate logistic regression [LR], and naïve Bayes [NB]), the relationships between diagnostic criteria and mortality were examined...
April 2018: Healthcare Informatics Research
Eunjoo Jeon, Hyeoun-Ae Park
Objectives: This study developed a diabetes self-management mobile application based on the information-motivation-behavioral skills (IMB) model, evidence extracted from clinical practice guidelines, and requirements identified through focus group interviews (FGIs) with diabetes patients. Methods: We developed a diabetes self-management (DSM) app in accordance with the following four stages of the system development life cycle. The functional and knowledge requirements of the users were extracted through FGIs with 19 diabetes patients...
April 2018: Healthcare Informatics Research
Per Anders Rickard Hellstrom, Anna Åkerberg, Martin Ekström, Mia Folke
Objectives: Walking speed is an important component of movement and is a predictor of health in the elderly. Pedobarography, the study of forces acting between the plantar surface of the foot and a supporting surface, is an approach to estimating walking speed even when no global positioning system signal is available. The developed portable system, Identifying Velocity and Load (IngVaL), is a cost effective alternative to commercially available pedobarography systems because it only uses three force sensing resistors...
April 2018: Healthcare Informatics Research
Hamidreza Maharlou, Sharareh R Niakan Kalhori, Shahrbanoo Shahbazi, Ramin Ravangard
Objectives: Accurate prediction of patients' length of stay is highly important. This study compared the performance of artificial neural network and adaptive neuro-fuzzy system algorithms to predict patients' length of stay in intensive care units (ICU) after cardiac surgery. Methods: A cross-sectional, analytical, and applied study was conducted. The required data were collected from 311 cardiac patients admitted to intensive care units after surgery at three hospitals of Shiraz, Iran, through a non-random convenience sampling method during the second quarter of 2016...
April 2018: Healthcare Informatics Research
Hyejung Lee, Haeyoung Min, Su-Mi Oh, Kaka Shim
Objectives: This study aimed to identify and systematically review the literature on the use of mobile technology in nursing education. The research findings could evidence the effectiveness of mobile technology in undergraduate nursing students' learning outcomes. Methods: Computerized searches were conducted using the Ovid-MEDLINE, Ovid-EMBASE, Cochrane Library, and CINAHL databases for relevant primary studies and limited to those between 2000 and February 2018...
April 2018: Healthcare Informatics Research
Mona Choi, Jung A Kim
No abstract text is available yet for this article.
April 2018: 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
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