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JMIR Medical Informatics

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https://www.readbyqxmd.com/read/29351894/the-use-of-technology-in-identifying-hospital-malnutrition-scoping-review
#1
REVIEW
Dino Trtovac, Joon Lee
BACKGROUND: Malnutrition is a condition most commonly arising from the inadequate consumption of nutrients necessary to maintain physiological health and is associated with the development of cardiovascular disease, osteoporosis, and sarcopenia. Malnutrition occurring in the hospital setting is caused by insufficient monitoring, identification, and assessment efforts. Furthermore, the ability of health care workers to identify and recognize malnourished patients is suboptimal. Therefore, interventions focusing on the identification and treatment of malnutrition are valuable, as they reduce the risks and rates of malnutrition within hospitals...
January 19, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29351893/a-clinical-decision-support-engine-based-on-a-national-medication-repository-for-the-detection-of-potential-duplicate-medications-design-and-evaluation
#2
Cheng-Yi Yang, Yu-Sheng Lo, Ray-Jade Chen, Chien-Tsai Liu
BACKGROUND: A computerized physician order entry (CPOE) system combined with a clinical decision support system can reduce duplication of medications and thus adverse drug reactions. However, without infrastructure that supports patients' integrated medication history across health care facilities nationwide, duplication of medication can still occur. In Taiwan, the National Health Insurance Administration has implemented a national medication repository and Web-based query system known as the PharmaCloud, which allows physicians to access their patients' medication records prescribed by different health care facilities across Taiwan...
January 19, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29335238/automating-quality-measures-for-heart-failure-using-natural-language-processing-a-descriptive-study-in-the-department-of-veterans-affairs
#3
Jennifer Hornung Garvin, Youngjun Kim, Glenn Temple Gobbel, Michael E Matheny, Andrew Redd, Bruce E Bray, Paul Heidenreich, Dan Bolton, Julia Heavirland, Natalie Kelly, Ruth Reeves, Megha Kalsy, Mary Kane Goldstein, Stephane M Meystre
BACKGROUND: We developed an accurate, stakeholder-informed, automated, natural language processing (NLP) system to measure the quality of heart failure (HF) inpatient care, and explored the potential for adoption of this system within an integrated health care system. OBJECTIVE: To accurately automate a United States Department of Veterans Affairs (VA) quality measure for inpatients with HF. METHODS: We automated the HF quality measure Congestive Heart Failure Inpatient Measure 19 (CHI19) that identifies whether a given patient has left ventricular ejection fraction (LVEF) <40%, and if so, whether an angiotensin-converting enzyme inhibitor or angiotensin-receptor blocker was prescribed at discharge if there were no contraindications...
January 15, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29305341/a-pilot-study-of-biomedical-text-comprehension-using-an-attention-based-deep-neural-reader-design-and-experimental-analysis
#4
Seongsoon Kim, Donghyeon Park, Yonghwa Choi, Kyubum Lee, Byounggun Kim, Minji Jeon, Jihye Kim, Aik Choon Tan, Jaewoo Kang
BACKGROUND: With the development of artificial intelligence (AI) technology centered on deep-learning, the computer has evolved to a point where it can read a given text and answer a question based on the context of the text. Such a specific task is known as the task of machine comprehension. Existing machine comprehension tasks mostly use datasets of general texts, such as news articles or elementary school-level storybooks. However, no attempt has been made to determine whether an up-to-date deep learning-based machine comprehension model can also process scientific literature containing expert-level knowledge, especially in the biomedical domain...
January 5, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29295811/stage-based-mobile-intervention-for-substance-use-disorders-in-primary-care-development-and-test-of-acceptability
#5
Deborah Levesque, Cindy Umanzor, Emma de Aguiar
BACKGROUND: In 2016, 21 million Americans aged 12 years and older needed treatment for a substance use disorder (SUD). However, only 10% to 11% of individuals requiring SUD treatment received it. Given their access to patients, primary care providers are in a unique position to perform universal Screening, Brief Intervention, and Referral to Treatment (SBIRT) to identify individuals at risk, fill gaps in services, and make referrals to specialty treatment when indicated. Major barriers to SBIRT include limited time among providers and low motivation to change among many patients...
January 2, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29242181/a-data-model-for-teleconsultation-in-managing-high-risk-pregnancies-design-and-preliminary-evaluation
#6
Kolsoum Deldar, Fatemeh Tara, Kambiz Bahaadinbeigy, Mohammad Khajedaluee, Mahmood Tara
BACKGROUND: Teleconsultation is a guarantor for virtual supervision of clinical professors on clinical decisions made by medical residents in teaching hospitals. Type, format, volume, and quality of exchanged information have a great influence on the quality of remote clinical decisions or tele-decisions. Thus, it is necessary to develop a reliable and standard model for these clinical relationships. OBJECTIVE: The goal of this study was to design and evaluate a data model for teleconsultation in the management of high-risk pregnancies...
December 14, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29242174/standard-anatomic-terminologies-comparison-for-use-in-a-health-information-exchange-based-prior-computed-tomography-ct-alerting-system
#7
Anton Oscar Beitia, Tina Lowry, Daniel J Vreeman, George T Loo, Bradley N Delman, Frederick L Thum, Benjamin H Slovis, Jason S Shapiro
BACKGROUND: A health information exchange (HIE)-based prior computed tomography (CT) alerting system may reduce avoidable CT imaging by notifying ordering clinicians of prior relevant studies when a study is ordered. For maximal effectiveness, a system would alert not only for prior same CTs (exams mapped to the same code from an exam name terminology) but also for similar CTs (exams mapped to different exam name terminology codes but in the same anatomic region) and anatomically proximate CTs (exams in adjacent anatomic regions)...
December 14, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29222076/adverse-drug-event-discovery-using-biomedical-literature-a-big-data-neural-network-adventure
#8
Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig
BACKGROUND: The study of adverse drug events (ADEs) is a tenured topic in medical literature. In recent years, increasing numbers of scientific articles and health-related social media posts have been generated and shared daily, albeit with very limited use for ADE study and with little known about the content with respect to ADEs. OBJECTIVE: The aim of this study was to develop a big data analytics strategy that mines the content of scientific articles and health-related Web-based social media to detect and identify ADEs...
December 8, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29222075/examining-tensions-that-affect-the-evaluation-of-technology-in-health-care-considerations-for-system-decision-makers-from-the-perspective-of-industry-and-evaluators
#9
Laura Desveaux, James Shaw, Ross Wallace, Onil Bhattacharyya, R Sacha Bhatia, Trevor Jamieson
Virtual technologies have the potential to mitigate a range of challenges for health care systems. Despite the widespread use of mobile devices in everyday life, they currently have a limited role in health service delivery and clinical care. Efforts to integrate the fast-paced consumer technology market with health care delivery exposes tensions among patients, providers, vendors, evaluators, and system decision makers. This paper explores the key tensions between the high bar for evidence prior to market approval that guides health care regulatory decisions and the "fail fast" reality of the technology industry...
December 8, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29196280/search-and-graph-database-technologies-for-biomedical-semantic-indexing-experimental-analysis
#10
Isabel Segura Bedmar, Paloma Martínez, Adrián Carruana Martín
BACKGROUND: Biomedical semantic indexing is a very useful support tool for human curators in their efforts for indexing and cataloging the biomedical literature. OBJECTIVE: The aim of this study was to describe a system to automatically assign Medical Subject Headings (MeSH) to biomedical articles from MEDLINE. METHODS: Our approach relies on the assumption that similar documents should be classified by similar MeSH terms. Although previous work has already exploited the document similarity by using a k-nearest neighbors algorithm, we represent documents as document vectors by search engine indexing and then compute the similarity between documents using cosine similarity...
December 1, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29167089/predicting-unplanned-transfers-to-the-intensive-care-unit-a-machine-learning-approach-leveraging-diverse-clinical-elements
#11
Ben Wellner, Joan Grand, Elizabeth Canzone, Matt Coarr, Patrick W Brady, Jeffrey Simmons, Eric Kirkendall, Nathan Dean, Monica Kleinman, Peter Sylvester
BACKGROUND: Early warning scores aid in the detection of pediatric clinical deteriorations but include limited data inputs, rarely include data trends over time, and have limited validation. OBJECTIVE: Machine learning methods that make use of large numbers of predictor variables are now commonplace. This work examines how different types of predictor variables derived from the electronic health record affect the performance of predicting unplanned transfers to the intensive care unit (ICU) at three large children's hospitals...
November 22, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29138129/patient-portal-utilization-among-ethnically-diverse-low-income-older-adults-observational-study
#12
Thomas A Arcury, Sara A Quandt, Joanne C Sandberg, David P Miller, Celine Latulipe, Xiaoyan Leng, Jenifer W Talton, Kathryn P Melius, Alden Smith, Alain G Bertoni
BACKGROUND: Patient portals can improve patient communication with providers, provide patients with greater health information access, and help improve patient decision making, if they are used. Because research on factors facilitating and limiting patient portal utilization has not been conceptually based, no leverage points have been indicated for improving utilization. OBJECTIVE: The primary objective for this analysis was to use a conceptual framework to determine potentially modifiable factors affecting patient portal utilization by older adults (aged 55 years and older) who receive care at clinics that serve low income and ethnically diverse communities...
November 14, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29138126/promoting-secondary-analysis-of-electronic-medical-records-in-china-summary-of-the-plagh-mit-critical-data-conference-and-health-datathon
#13
Peiyao Li, Chen Xie, Tom Pollard, Alistair Edward William Johnson, Desen Cao, Hongjun Kang, Hong Liang, Yuezhou Zhang, Xiaoli Liu, Yong Fan, Yuan Zhang, Wanguo Xue, Lixin Xie, Leo Anthony Celi, Zhengbo Zhang
Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or the resources needed to utilize EHRs as a resource. In addition, a climate of cross-disciplinary collaboration to gain insights from EHRs, a crucial component of a learning healthcare system, is not prevalent. To address these issues, members from the Massachusetts Institute of Technology (MIT) and the People's Liberation Army General Hospital (PLAGH) organized the first clinical data conference and health datathon in China, which provided a platform for clinicians, statisticians, and data scientists to team up and address information gaps in the intensive care unit (ICU)...
November 14, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29133283/open-source-electronic-health-record-systems-for-low-resource-settings-systematic-review
#14
REVIEW
Assel Syzdykova, André Malta, Maria Zolfo, Ermias Diro, José Luis Oliveira
BACKGROUND: Despite the great impact of information and communication technologies on clinical practice and on the quality of health services, this trend has been almost exclusive to developed countries, whereas countries with poor resources suffer from many economic and social issues that have hindered the real benefits of electronic health (eHealth) tools. As a component of eHealth systems, electronic health records (EHRs) play a fundamental role in patient management and effective medical care services...
November 13, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29089288/ranking-medical-terms-to-support-expansion-of-lay-language-resources-for-patient-comprehension-of-electronic-health-record-notes-adapted-distant-supervision-approach
#15
Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu
BACKGROUND: Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first...
October 31, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29066424/adopting-telemedicine-for-the-self-management-of-hypertension-systematic-review
#16
REVIEW
Michael Mileski, Clemens Scott Kruse, Justin Catalani, Tara Haderer
BACKGROUND: Hypertension is a chronic condition that affects adults of all ages. In the United States, 1 in 3 adults has hypertension, and about half of the hypertensive population is adequately controlled. This costs the nation US $46 billion each year in health care services and medications required for treatment and missed workdays. Finding easier ways of managing this condition is key to successful treatment. OBJECTIVE: A solution to reduce visits to physicians for chronic conditions is to utilize telemedicine...
October 24, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29042341/pain-self-management-for-veterans-development-and-pilot-test-of-a-stage-based-mobile-optimized-intervention
#17
Sara S Johnson, Deborah A Levesque, Lynne E Broderick, Dustin G Bailey, Robert D Kerns
BACKGROUND: Chronic pain is a significant public health burden affecting more Americans than cardiovascular disease, diabetes, and cancer combined. Veterans are disproportionately affected by chronic pain. Among previously deployed soldiers and veterans, the prevalence of chronic pain is estimated between 44% and 60%. OBJECTIVE: The objective of this research was to develop and pilot-test Health eRide: Your Journey to Managing Pain, a mobile pain self-management program for chronic musculoskeletal pain for veterans...
October 17, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29038093/patient-portal-use-and-experience-among-older-adults-systematic-review
#18
Dawn K Sakaguchi-Tang, Alyssa L Bosold, Yong K Choi, Anne M Turner
BACKGROUND: The older adult population (65 years or older) in the United States is growing, and it is important for communities to consider ways to support the aging population. Patient portals and electronic personal health records (ePHRs) are technologies that could better serve populations with the highest health care needs, such as older adults. OBJECTIVE: The aim of this study was to assess the existing research landscape related to patient portal and ePHR use and experience among older adults and to understand the benefits and barriers to older adults' use and adoption of patient portals and ePHRs...
October 16, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29025697/predicting-consumer-effort-in-finding-and-paying-for-health-care-expert-interviews-and-claims-data-analysis
#19
Sandra Long, Karen A Monsen, David Pieczkiewicz, Julian Wolfson, Saif Khairat
BACKGROUND: For consumers to accept and use a health care information system, it must be easy to use, and the consumer must perceive it as being free from effort. Finding health care providers and paying for care are tasks that must be done to access treatment. These tasks require effort on the part of the consumer and can be frustrating when the goal of the consumer is primarily to receive treatments for better health. OBJECTIVE: The aim of this study was to determine the factors that result in consumer effort when finding accessible health care...
October 12, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29021125/characteristics-of-innovators-adopting-a-national-personal-health-record-in-portugal-cross-sectional-study
#20
Liliana Laranjo, Inês Rodolfo, Ana Marta Pereira, Armando Brito de Sá
BACKGROUND: Personal health records (PHRs) are increasingly being deployed worldwide, but their rates of adoption by patients vary widely across countries and health systems. Five main categories of adopters are usually considered when evaluating the diffusion of innovations: innovators, early adopters, early majority, late majority, and laggards. OBJECTIVE: We aimed to evaluate adoption of the Portuguese PHR 3 months after its release, as well as characterize the individuals who registered and used the system during that period (the innovators)...
October 11, 2017: JMIR Medical Informatics
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