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JMIR Medical Informatics

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https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#1
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27888170/a-predictive-model-for-medical-events-based-on-contextual-embedding-of-temporal-sequences
#2
Wael Farhan, Zhimu Wang, Yingxiang Huang, Shuang Wang, Fei Wang, Xiaoqian Jiang
BACKGROUND: Medical concepts are inherently ambiguous and error-prone due to human fallibility, which makes it hard for them to be fully used by classical machine learning methods (eg, for tasks like early stage disease prediction). OBJECTIVE: Our work was to create a new machine-friendly representation that resembles the semantics of medical concepts. We then developed a sequential predictive model for medical events based on this new representation. METHODS: We developed novel contextual embedding techniques to combine different medical events (eg, diagnoses, prescriptions, and labs tests)...
November 25, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27884812/consumers-use-of-umls-concepts-on-social-media-diabetes-related-textual-data-analysis-in-blog-and-social-q-a-sites
#3
Min Sook Park, Zhe He, Zhiwei Chen, Sanghee Oh, Jiang Bian
BACKGROUND: The widely known terminology gap between health professionals and health consumers hinders effective information seeking for consumers. OBJECTIVE: The aim of this study was to better understand consumers' usage of medical concepts by evaluating the coverage of concepts and semantic types of the Unified Medical Language System (UMLS) on diabetes-related postings in 2 types of social media: blogs and social question and answer (Q&A). METHODS: We collected 2 types of social media data: (1) a total of 3711 blogs tagged with "diabetes" on Tumblr posted between February and October 2015; and (2) a total of 58,422 questions and associated answers posted between 2009 and 2014 in the diabetes category of Yahoo! Answers...
November 24, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27872036/challenges-and-opportunities-of-big-data-in-health-care-a-systematic-review
#4
REVIEW
Clemens Scott Kruse, Rishi Goswamy, Yesha Raval, Sarah Marawi
BACKGROUND: Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management. OBJECTIVE: The purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care. METHODS: A total of 3 searches were performed for publications between January 1, 2010 and January 1, 2016 (PubMed/MEDLINE, CINAHL, and Google Scholar), and an assessment was made on content germane to big data in health care...
November 21, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27872033/a-review-of-visual-representations-of-physiologic-data
#5
REVIEW
Rishikesan Kamaleswaran, Carolyn McGregor
BACKGROUND: Physiological data is derived from electrodes attached directly to patients. Modern patient monitors are capable of sampling data at frequencies in the range of several million bits every hour. Hence the potential for cognitive threat arising from information overload and diminished situational awareness becomes increasingly relevant. A systematic review was conducted to identify novel visual representations of physiologic data that address cognitive, analytic, and monitoring requirements in critical care environments...
November 21, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27836816/web-based-real-time-case-finding-for-the-population-health-management-of-patients-with-diabetes-mellitus-a-prospective-validation-of-the-natural-language-processing-based-algorithm-with-statewide-electronic-medical-records
#6
Le Zheng, Yue Wang, Shiying Hao, Andrew Y Shin, Bo Jin, Anh D Ngo, Medina S Jackson-Browne, Daniel J Feller, Tianyun Fu, Karena Zhang, Xin Zhou, Chunqing Zhu, Dorothy Dai, Yunxian Yu, Gang Zheng, Yu-Ming Li, Doff B McElhinney, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng Bruce Ling
BACKGROUND: Diabetes case finding based on structured medical records does not fully identify diabetic patients whose medical histories related to diabetes are available in the form of free text. Manual chart reviews have been used but involve high labor costs and long latency. OBJECTIVE: This study developed and tested a Web-based diabetes case finding algorithm using both structured and unstructured electronic medical records (EMRs). METHODS: This study was based on the health information exchange (HIE) EMR database that covers almost all health facilities in the state of Maine, United States...
November 11, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27826132/increasing-complexity-in-rule-based-clinical-decision-support-the-symptom-assessment-and-management-intervention
#7
David F Lobach, Ellis B Johns, Barbara Halpenny, Toni-Ann Saunders, Jane Brzozowski, Guilherme Del Fiol, Donna L Berry, Ilana M Braun, Kathleen Finn, Joanne Wolfe, Janet L Abrahm, Mary E Cooley
BACKGROUND: Management of uncontrolled symptoms is an important component of quality cancer care. Clinical guidelines are available for optimal symptom management, but are not often integrated into the front lines of care. The use of clinical decision support (CDS) at the point-of-care is an innovative way to incorporate guideline-based symptom management into routine cancer care. OBJECTIVE: The objective of this study was to develop and evaluate a rule-based CDS system to enable management of multiple symptoms in lung cancer patients at the point-of-care...
November 8, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27806923/it-s-time-for-innovation-in-the-health-insurance-portability-and-accountability-act-hipaa
#8
Karen Colorafi, Bryan Bailey
Whether it is the result of a tragic news story, a thoughtful commentary, or a segment on the entertainment networks, patient privacy rights are never far from the top of our minds. The Privacy and Security Rules contained in the Health Insurance Portability and Accountability Act of 1996 (HIPAA) represent a concerted effort to protect the privacy and security of the volumes of patient data generated by the health care system. However, the last twenty years has seen innovations and advancements in health information technology that were unimaginable at that time...
November 2, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27799137/evaluating-the-economic-impact-of-smart-care-platforms-qualitative-and-quantitative-results-of-a-case-study
#9
Frederic Vannieuwenborg, Thomas Van der Auwermeulen, Jan Van Ooteghem, An Jacobs, Sofie Verbrugge, Didier Colle
BACKGROUND: In response to the increasing pressure of the societal challenge because of a graying society, a gulf of new Information and Communication Technology (ICT) supported care services (eCare) can now be noticed. Their common goal is to increase the quality of care while decreasing its costs. Smart Care Platforms (SCPs), installed in the homes of care-dependent people, foster the interoperability of these services and offer a set of eCare services that are complementary on one platform...
October 31, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27793791/natural-language-processing-enabled-and-conventional-data-capture-methods-for-input-to-electronic-health-records-a-comparative-usability-study
#10
David R Kaufman, Barbara Sheehan, Peter Stetson, Ashish R Bhatt, Adele I Field, Chirag Patel, James Mark Maisel
BACKGROUND: The process of documentation in electronic health records (EHRs) is known to be time consuming, inefficient, and cumbersome. The use of dictation coupled with manual transcription has become an increasingly common practice. In recent years, natural language processing (NLP)-enabled data capture has become a viable alternative for data entry. It enables the clinician to maintain control of the process and potentially reduce the documentation burden. The question remains how this NLP-enabled workflow will impact EHR usability and whether it can meet the structured data and other EHR requirements while enhancing the user's experience...
October 28, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27769953/evaluating-the-effect-of-web-based-iranian-diabetic-personal-health-record-app-on-self-care-status-and-clinical-indicators-randomized-controlled-trial
#11
Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Hamed Tabesh, Mahmood Tara
BACKGROUND: There are 4 main types of chronic or noncommunicable diseases. Of these, diabetes is one of the major therapeutic concerns globally. Moreover, Iran is among the countries with the highest incidence of diabetic patients. Furthermore, library-based studies by researchers have shown that thus far no study has been carried out to evaluate the relationship between Web-based diabetic personal health records (DPHR) and self-care indicators in Iran. OBJECTIVE: The objective of this study is to examine the effect of Web-based DPHR on self-care status of diabetic patients in an intervention group as compared with a control group...
October 21, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27751983/population-analysis-of-adverse-events-in-different-age-groups-using-big-clinical-trials-data
#12
Jake Luo, Christina Eldredge, Chi C Cho, Ron A Cisler
BACKGROUND: Understanding adverse event patterns in clinical studies across populations is important for patient safety and protection in clinical trials as well as for developing appropriate drug therapies, procedures, and treatment plans. OBJECTIVES: The objective of our study was to conduct a data-driven population-based analysis to estimate the incidence, diversity, and association patterns of adverse events by age of the clinical trials patients and participants...
October 17, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27742603/weighting-primary-care-patient-panel-size-a-novel-electronic-health-record-derived-measure-using-machine-learning
#13
Alvin Rajkomar, Joanne Wing Lan Yim, Kevin Grumbach, Ami Parekh
BACKGROUND: Characterizing patient complexity using granular electronic health record (EHR) data regularly available to health systems is necessary to optimize primary care processes at scale. OBJECTIVE: To characterize the utilization patterns of primary care patients and create weighted panel sizes for providers based on work required to care for patients with different patterns. METHODS: We used EHR data over a 2-year period from patients empaneled to primary care clinicians in a single academic health system, including their in-person encounter history and virtual encounters such as telephonic visits, electronic messaging, and care coordination with specialists...
October 14, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27694098/prediction-of-sepsis-in-the-intensive-care-unit-with-minimal-electronic-health-record-data-a-machine-learning-approach
#14
Thomas Desautels, Jacob Calvert, Jana Hoffman, Melissa Jay, Yaniv Kerem, Lisa Shieh, David Shimabukuro, Uli Chettipally, Mitchell D Feldman, Chris Barton, David J Wales, Ritankar Das
BACKGROUND: Sepsis is one of the leading causes of mortality in hospitalized patients. Despite this fact, a reliable means of predicting sepsis onset remains elusive. Early and accurate sepsis onset predictions could allow more aggressive and targeted therapy while maintaining antimicrobial stewardship. Existing detection methods suffer from low performance and often require time-consuming laboratory test results. OBJECTIVE: To study and validate a sepsis prediction method, InSight, for the new Sepsis-3 definitions in retrospective data, make predictions using a minimal set of variables from within the electronic health record data, compare the performance of this approach with existing scoring systems, and investigate the effects of data sparsity on InSight performance...
September 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/26980270/health-information-technology-meaningful-use-and-next-steps-to-improving-electronic-facilitation-of-medication-adherence
#15
Hayden B Bosworth, Leah L Zullig, Phil Mendys, Michael Ho, Troy Trygstad, Christopher Granger, Megan M Oakes, Bradi B Granger
BACKGROUND: The use of health information technology (HIT) may improve medication adherence, but challenges for implementation remain. OBJECTIVE: The aim of this paper is to review the current state of HIT as it relates to medication adherence programs, acknowledge the potential barriers in light of current legislation, and provide recommendations to improve ongoing medication adherence strategies through the use of HIT. METHODS: We describe four potential HIT barriers that may impact interoperability and subsequent medication adherence...
March 15, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27658571/characterizing-the-perceived-newsworthiness-of-health-science-articles-a-data-driven-approach
#16
Ye Zhang, Erin Willis, Michael J Paul, Noémie Elhadad, Byron C Wallace
BACKGROUND: Health science findings are primarily disseminated through manuscript publications. Information subsidies are used to communicate newsworthy findings to journalists in an effort to earn mass media coverage and further disseminate health science research to mass audiences. Journal editors and news journalists then select which news stories receive coverage and thus public attention. OBJECTIVE: This study aims to identify attributes of published health science articles that correlate with (1) journal editor issuance of press releases and (2) mainstream media coverage...
2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27492978/satisfaction-levels-and-factors-influencing-satisfaction-with-use-of-a-social-app-for-neonatal-and-pediatric-patient-transfer-information-systems-a-questionnaire-study-among-doctors
#17
Iee Choi, Jin Kyu Kim, Sun Jun Kim, Soo Chul Cho, Il Nyeo Kim
BACKGROUND: The treatment of neonatal and pediatric patients is limited to certain medical institutions depending on treatment difficulty. Effective patient transfers are necessary in situations where there are limited medical resources. In South Korea, the government has made a considerable effort to establish patient transfer systems using various means, such as websites, telephone, and so forth. However, in reality, the effort has not yet been effective. OBJECTIVE: In this study, we ran a patient transfer information system using a social app for effective patient transfer...
2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27485666/a-semi-supervised-learning-approach-to-enhance-health-care-community-based-question-answering-a-case-study-in-alcoholism
#18
Papis Wongchaisuwat, Diego Klabjan, Siddhartha Reddy Jonnalagadda
BACKGROUND: Community-based question answering (CQA) sites play an important role in addressing health information needs. However, a significant number of posted questions remain unanswered. Automatically answering the posted questions can provide a useful source of information for Web-based health communities. OBJECTIVE: In this study, we developed an algorithm to automatically answer health-related questions based on past questions and answers (QA). We also aimed to understand information embedded within Web-based health content that are good features in identifying valid answers...
2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27444059/forecasting-daily-patient-outflow-from-a-ward-having-no-real-time-clinical-data
#19
Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Phung, Svetha Venkatesh
OBJECTIVE: Our study investigates different models to forecast the total number of next-day discharges from an open ward having no real-time clinical data. METHODS: We compared 5 popular regression algorithms to model total next-day discharges: (1) autoregressive integrated moving average (ARIMA), (2) the autoregressive moving average with exogenous variables (ARMAX), (3) k-nearest neighbor regression, (4) random forest regression, and (5) support vector regression...
2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27370070/evaluation-of-an-expert-system-for-the-generation-of-speech-and-language-therapy-plans
#20
Vladimir Robles-Bykbaev, Martín López-Nores, Jorge García-Duque, José J Pazos-Arias, Daysi Arévalo-Lucero
BACKGROUND: Speech and language pathologists (SLPs) deal with a wide spectrum of disorders, arising from many different conditions, that affect voice, speech, language, and swallowing capabilities in different ways. Therefore, the outcomes of Speech and Language Therapy (SLT) are highly dependent on the accurate, consistent, and complete design of personalized therapy plans. However, SLPs often have very limited time to work with their patients and to browse the large (and growing) catalogue of activities and specific exercises that can be put into therapy plans...
2016: JMIR Medical Informatics
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