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JMIR Medical Informatics

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https://www.readbyqxmd.com/read/30201603/defining-empowerment-and-supporting-engagement-using-patient-views-from-the-citizen-health-information-portal-qualitative-study
#1
Tracie Risling, Juan Martinez, Jeremy Young, Nancy Thorp-Froslie
BACKGROUND: The increasing presence of technology in health care has created new opportunities for patient engagement and with this, an intensified exploration of patient empowerment within the digital health context. While the use of technology, such as patient portals, has been positively received, a clear linkage between digital health solutions, patient empowerment, and health outcomes remains elusive. OBJECTIVE: The primary objective of this research was to explore the views of participants enrolled in an electronic health record portal access trial regarding the resultant influence of this technology on their feelings of patient empowerment...
September 10, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/30131314/validating-a-framework-for-coding-patient-reported-health-information-to-the-medical-dictionary-for-regulatory-activities-terminology-an-evaluative-study
#2
Sonja Brajovic, David A Blaser, Meaghan Zisk, Christine Caligtan, Sally Okun, Marni Hall, Carol A Pamer
BACKGROUND: The availability of and interest in patient-generated health data (PGHD) have grown steadily. Patients describe medical experiences differently compared with how clinicians or researchers would describe their observations of those same experiences. Patients may find nonserious, known adverse drug events (ADEs) to be an ongoing concern, which impacts the tolerability and adherence. Clinicians must be vigilant for medically serious, potentially fatal ADEs. Having both perspectives provides patients and clinicians with a complete picture of what to expect from drug therapies...
August 21, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/30087092/three-dimensional-portable-document-format-3d-pdf-in-clinical-communication-and-biomedical-sciences-systematic-review-of-applications-tools-and-protocols
#3
REVIEW
Axel Newe, Linda Becker
BACKGROUND: The Portable Document Format (PDF) is the standard file format for the communication of biomedical information via the internet and for electronic scholarly publishing. Although PDF allows for the embedding of three-dimensional (3D) objects and although this technology has great potential for the communication of such data, it is not broadly used by the scientific community or by clinicians. OBJECTIVE: The objective of this review was to provide an overview of existing publications that apply 3D PDF technology and the protocols and tools for the creation of model files and 3D PDFs for scholarly purposes to demonstrate the possibilities and the ways to use this technology...
August 7, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/30021709/implementing-a-national-electronic-referral-program-qualitative-study
#4
Marcella McGovern, Maria Quinlan, Gerardine Doyle, Gemma Moore, Susi Geiger
BACKGROUND: Electronic referrals or e-referrals can be defined as the electronic transmission of patient data and clinical requests between health service providers. National electronic referral systems have proved challenging to implement due to problems of fit between the technical systems proposed and the existing sociotechnical systems. In seeming contradiction to a sociotechnical approach, the Irish Health Service Executive initiated an incremental implementation of a National Electronic Referral Programme (NERP), with step 1 including only the technical capability for general practitioners to submit electronic referral requests to hospital outpatient departments...
July 18, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/30001998/uncovering-a-role-for-electronic-personal-health-records-in-reducing-disparities-in-sexually-transmitted-infection-rates-among-students-at-a-predominantly-african-american-university-mixed-methods-study
#5
Kevon-Mark Jackman, Stefan David Baral, Lisa Hightow-Weidman, Tonia Poteat
BACKGROUND: Black youth continue to bear an overwhelming proportion of the United States sexually transmitted infection (STI) burden, including HIV. Several studies on web-based and mobile health (mHealth) STI interventions have focused on characterizing strategies to improve HIV-related prevention and treatment interventions, risk communication, and stigma among men who have sex with men (MSM), people who use substances, and adolescent populations. The Electronic Sexual Health Information Notification and Education (eSHINE) Study was an exploratory mixed-methods study among students at a historically black university exploring perceptions on facilitating STI testing conversations with partners using electronic personal health records (PHRs)...
July 12, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29986844/task-data-taxonomy-for-health-data-visualizations-web-based-survey-with-experts-and-older-adults
#6
Sabine Theis, Peter Wilhelm Victor Rasche, Christina Bröhl, Matthias Wille, Alexander Mertens
BACKGROUND: Increasingly, eHealth involves health data visualizations to enable users to better understand their health situation. Selecting efficient and ergonomic visualizations requires knowledge about the task that the user wants to carry out and the type of data to be displayed. Taxonomies of abstract tasks and data types bundle this knowledge in a general manner. Task-data taxonomies exist for visualization tasks and data. They also exist for eHealth tasks. However, there is currently no joint task taxonomy available for health data visualizations incorporating the perspective of the prospective users...
July 9, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29954724/adverse-drug-event-reporting-from-clinical-care-mixed-methods-analysis-for-a-minimum-required-dataset
#7
David Peddie, Serena S Small, Katherin Badke, Chantelle Bailey, Ellen Balka, Corinne M Hohl
BACKGROUND: Patients commonly transition between health care settings, requiring care providers to transfer medication utilization information. Yet, information sharing about adverse drug events (ADEs) remains nonstandardized. OBJECTIVE: The objective of our study was to describe a minimum required dataset for clinicians to document and communicate ADEs to support clinical decision making and improve patient safety. METHODS: We used mixed-methods analysis to design a minimum required dataset for ADE documentation and communication...
June 28, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29945862/nurses-experience-with-health-information-technology-longitudinal-qualitative-study
#8
Inga M Zadvinskis, Jessica Garvey Smith, Po-Yin Yen
BACKGROUND: Nurses are the largest group of health information technology (HIT) users. As such, nurses' adaptations are critical for HIT implementation success. However, longitudinal approaches to understanding nurses' perceptions of HIT remain underexplored. Previous studies of nurses' perceptions demonstrate that the progress and timing for acceptance of and adaptation to HIT varies. OBJECTIVE: This study aimed to explore nurses' experience regarding implementation of HIT over time...
June 26, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29925495/the-impact-of-implementation-of-a-clinically-integrated-problem-based-neonatal-electronic-health-record-on-documentation-metrics-provider-satisfaction-and-hospital-reimbursement-a-quality-improvement-project
#9
William Liu, Thomas Walsh
BACKGROUND: A goal of effective electronic health record provider documentation platforms is to provide an efficient, concise, and comprehensive notation system that will effectively reflect the clinical course, including the diagnoses, treatments, and interventions. OBJECTIVE: The aim is to fully redesign and standardize the provider documentation process, seeking improvement in documentation based on ongoing All Patient Refined Diagnosis Related Group-based coding records, while maintaining noninferiority comparing provider satisfaction to our existing documentation process...
June 20, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29907560/validation-of-a-natural-language-processing-algorithm-for-detecting-infectious-disease-symptoms-in-primary-care-electronic-medical-records-in-singapore
#10
Antony Hardjojo, Arunan Gunachandran, Long Pang, Mohammed Ridzwan Bin Abdullah, Win Wah, Joash Wen Chen Chong, Ee Hui Goh, Sok Huang Teo, Gilbert Lim, Mong Li Lee, Wynne Hsu, Vernon Lee, Mark I-Cheng Chen, Franco Wong, Jonathan Siung King Phang
BACKGROUND: Free-text clinical records provide a source of information that complements traditional disease surveillance. To electronically harness these records, they need to be transformed into codified fields by natural language processing algorithms. OBJECTIVE: The aim of this study was to develop, train, and validate Clinical History Extractor for Syndromic Surveillance (CHESS), an natural language processing algorithm to extract clinical information from free-text primary care records...
June 11, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29866642/health-information-technology-in-healthcare-quality-and-patient-safety-literature-review
#11
REVIEW
Sue S Feldman, Scott Buchalter, Leslie W Hayes
BACKGROUND: The area of healthcare quality and patient safety is starting to use health information technology to prevent reportable events, identify them before they become issues, and act on events that are thought to be unavoidable. As healthcare organizations begin to explore the use of health information technology in this realm, it is often unclear where fiscal and human efforts should be focused. OBJECTIVE: The purpose of this study was to provide a foundation for understanding where to focus health information technology fiscal and human resources as well as expectations for the use of health information technology in healthcare quality and patient safety...
June 4, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29853438/development-and-validation-of-a-functional-behavioural-assessment-ontology-to-support-behavioural-health-interventions
#12
Gianluca Merlo, Giuseppe Chiazzese, Davide Taibi, Antonella Chifari
BACKGROUND: In the cognitive-behavioral approach, Functional Behavioural Assessment is one of the most effective methods to identify the variables that determine a problem behavior. In this context, the use of modern technologies can encourage the collection and sharing of behavioral patterns, effective intervention strategies, and statistical evidence about antecedents and consequences of clusters of problem behaviors, encouraging the designing of function-based interventions. OBJECTIVE: The paper describes the development and validation process used to design a specific Functional Behavioural Assessment Ontology (FBA-Ontology)...
May 31, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29802089/perspectives-of-nurses-toward-telehealth-efficacy-and-quality-of-health-care-pilot-study
#13
Ayisha Bashir, Dhundy R Bastola
BACKGROUND: Telehealth nursing, or the delivery, management, and coordination of nursing care services provided via telecommunications technology, is one of the methods of delivering health care to patients in the United States. It is important to assess the service quality of the involved health professionals as well as the telehealth nursing process. The focus of this study is the innovative model of telehealth care delivery by nurses for managing patients with chronic disease while they are living in their own residence...
May 25, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29769172/privacy-preserving-predictive-modeling-harmonization-of-contextual-embeddings-from-different-sources
#14
Yingxiang Huang, Junghye Lee, Shuang Wang, Jimeng Sun, Hongfang Liu, Xiaoqian Jiang
BACKGROUND: Data sharing has been a big challenge in biomedical informatics because of privacy concerns. Contextual embedding models have demonstrated a very strong representative capability to describe medical concepts (and their context), and they have shown promise as an alternative way to support deep-learning applications without the need to disclose original data. However, contextual embedding models acquired from individual hospitals cannot be directly combined because their embedding spaces are different, and naive pooling renders combined embeddings useless...
May 16, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29764796/predicting-the-reasons-of-customer-complaints-a-first-step-toward-anticipating-quality-issues-of-in-vitro-diagnostics-assays-with-machine-learning
#15
Stephane Aris-Brosou, James Kim, Li Li, Hui Liu
BACKGROUND: Vendors in the health care industry produce diagnostic systems that, through a secured connection, allow them to monitor performance almost in real time. However, challenges exist in analyzing and interpreting large volumes of noisy quality control (QC) data. As a result, some QC shifts may not be detected early enough by the vendor, but lead a customer to complain. OBJECTIVE: The aim of this study was to hypothesize that a more proactive response could be designed by utilizing the collected QC data more efficiently...
May 15, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29759958/data-access-and-usage-practices-across-a-cohort-of-researchers-at-a-large-tertiary-pediatric-hospital-qualitative-survey-study
#16
Hoi Ki Kiki Ho, Matthias Görges, Elodie Portales-Casamar
BACKGROUND: Health and health-related data collected as part of clinical care is a foundational component of quality improvement and research. While the importance of these data is widely recognized, there are many challenges faced by researchers attempting to use such data. It is crucial to acknowledge and identify barriers to improve data sharing and access practices and ultimately optimize research capacity. OBJECTIVE: To better understand the current state, explore opportunities, and identify barriers, an environmental scan of investigators at BC Children's Hospital Research Institute (BCCHR) was conducted to elucidate current local practices around data access and usage...
May 14, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29752251/the-importance-of-nonlinear-transformations-use-in-medical-data-analysis
#17
Netta Shachar, Alexis Mitelpunkt, Tal Kozlovski, Tal Galili, Tzviel Frostig, Barak Brill, Mira Marcus-Kalish, Yoav Benjamini
BACKGROUND: The accumulation of data and its accessibility through easier-to-use platforms will allow data scientists and practitioners who are less sophisticated data analysts to get answers by using big data for many purposes in multiple ways. Data scientists working with medical data are aware of the importance of preprocessing, yet in many cases, the potential benefits of using nonlinear transformations is overlooked. OBJECTIVE: Our aim is to present a semi-automated approach of symmetry-aiming transformations tailored for medical data analysis and its advantages...
May 11, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29743158/capturing-a-patient-reported-measure-of-physical-function-through-an-online-electronic-health-record-patient-portal-in-an-ambulatory-clinic-implementation-study
#18
Jing Li, Jinoos Yazdany, Laura Trupin, Zara Izadi, Milena Gianfrancesco, Sarah Goglin, Gabriela Schmajuk
BACKGROUND: Despite significant interest in the collection of patient-reported outcomes to make care more patient-centered, few studies have evaluated implementation efforts to collect patient-reported outcomes from diverse patient populations. OBJECTIVE: We assessed the collection of patient-reported outcomes from rheumatoid arthritis patients in an academic rheumatology clinic, using a paper and an online form through the electronic health record patient portal...
May 9, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29735477/finding-meaning-in-medication-reconciliation-using-electronic-health-records-qualitative-analysis-in-safety-net-primary-and-specialty-care
#19
George Yaccoub Matta, Elaine C Khoong, Courtney R Lyles, Dean Schillinger, Neda Ratanawongsa
BACKGROUND: Safety net health systems face barriers to effective ambulatory medication reconciliation for vulnerable populations. Although some electronic health record (EHR) systems offer safety advantages, EHR use may affect the quality of patient-provider communication. OBJECTIVE: This mixed-methods observational study aimed to develop a conceptual framework of how clinicians balance the demands and risks of EHR and communication tasks during medication reconciliation discussions in a safety net system...
May 7, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29720361/automated-modular-magnetic-resonance-imaging-clinical-decision-support-system-miror-an-application-in-pediatric-cancer-diagnosis
#20
Niloufar Zarinabad, Emma M Meeus, Karen Manias, Katharine Foster, Andrew Peet
BACKGROUND: Advances in magnetic resonance imaging and the introduction of clinical decision support systems has underlined the need for an analysis tool to extract and analyze relevant information from magnetic resonance imaging data to aid decision making, prevent errors, and enhance health care. OBJECTIVE: The aim of this study was to design and develop a modular medical image region of interest analysis tool and repository (MIROR) for automatic processing, classification, evaluation, and representation of advanced magnetic resonance imaging data...
May 2, 2018: JMIR Medical Informatics
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