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JMIR Medical Informatics

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https://www.readbyqxmd.com/read/29769172/privacy-preserving-predictive-modeling-harmonization-of-contextual-embeddings-from-different-sources
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
https://www.readbyqxmd.com/read/29716885/an-assistive-technology-system-that-provides-personalized-dressing-support-for-people-living-with-dementia-capability-study
#8
Winslow Burleson, Cecil Lozano, Vijay Ravishankar, Jisoo Lee, Diane Mahoney
BACKGROUND: Individuals living with advancing stages of dementia (persons with dementia, PWDs) or other cognitive disorders do not have the luxury of remembering how to perform basic day-to-day activities, which in turn makes them increasingly dependent on the assistance of caregivers. Dressing is one of the most common and stressful activities provided by caregivers because of its complexity and privacy challenges posed during the process. OBJECTIVE: In preparation for in-home trials with PWDs, the aim of this study was to develop and evaluate a prototype intelligent system, the DRESS prototype, to assess its ability to provide automated assistance with dressing that can afford independence and privacy to individual PWDs and potentially provide additional freedom to their caregivers (family members and professionals)...
May 1, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29712623/an-early-model-for-value-and-sustainability-in-health-information-exchanges-qualitative-study
#9
Sue S Feldman
BACKGROUND: The primary value relative to health information exchange has been seen in terms of cost savings relative to laboratory and radiology testing, emergency department expenditures, and admissions. However, models are needed to statistically quantify value and sustainability and better understand the dependent and mediating factors that contribute to value and sustainability. OBJECTIVE: The purpose of this study was to provide a basis for early model development for health information exchange value and sustainability...
April 30, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29699962/a-neuroimaging-web-services-interface-as-a-cyber-physical-system-for-medical-imaging-and-data-management-in-brain-research-design-study
#10
Gabriel Lizarraga, Chunfei Li, Mercedes Cabrerizo, Warren Barker, David A Loewenstein, Ranjan Duara, Malek Adjouadi
No abstract text is available yet for this article.
April 26, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29691211/developing-a-third-party-analytics-application-using-australia-s-national-personal-health-records-system-case-study
#11
Niranjan Bidargaddi, Yasmin van Kasteren, Peter Musiat, Michael Kidd
BACKGROUND: My Health Record (MyHR) is Australia's national electronic health record (EHR) system. Poor usability and functionality have resulted in low utility, affecting enrollment and participation rates by both patients and clinicians alike. Similar to apps on mobile phone app stores, innovative third-party applications of MyHR platform data can enhance the usefulness of the platform, but there is a paucity of research into the processes involved in developing third-party applications that integrate and use data from EHR systems...
April 24, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29669709/implementing-an-open-source-electronic-health-record-system-in-kenyan-health-care-facilities-case-study
#12
Naomi Muinga, Steve Magare, Jonathan Monda, Onesmus Kamau, Stuart Houston, Hamish Fraser, John Powell, Mike English, Chris Paton
BACKGROUND: The Kenyan government, working with international partners and local organizations, has developed an eHealth strategy, specified standards, and guidelines for electronic health record adoption in public hospitals and implemented two major health information technology projects: District Health Information Software Version 2, for collating national health care indicators and a rollout of the KenyaEMR and International Quality Care Health Management Information Systems, for managing 600 HIV clinics across the country...
April 18, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29669706/reasons-for-physicians-not-adopting-clinical-decision-support-systems-critical-analysis
#13
REVIEW
Saif Khairat, David Marc, William Crosby, Ali Al Sanousi
BACKGROUND: Clinical decision support systems (CDSSs) are an integral component of today's health information technologies. They assist with interpretation, diagnosis, and treatment. A CDSS can be embedded throughout the patient safety continuum providing reminders, recommendations, and alerts to health care providers. Although CDSSs have been shown to reduce medical errors and improve patient outcomes, they have fallen short of their full potential. User acceptance has been identified as one of the potential reasons for this shortfall...
April 18, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29669705/diabetes-related-behavior-change-knowledge-transfer-to-primary-care-practitioners-and-patients-implementation-and-evaluation-of-a-digital-health-platform
#14
Samina Abidi, Michael Vallis, Helena Piccinini-Vallis, Syed Ali Imran, Syed Sibte Raza Abidi
BACKGROUND: Behavioral science is now being integrated into diabetes self-management interventions. However, the challenge that presents itself is how to translate these knowledge resources during care so that primary care practitioners can use them to offer evidence-informed behavior change support and diabetes management recommendations to patients with diabetes. OBJECTIVE: The aim of this study was to develop and evaluate a computerized decision support platform called "Diabetes Web-Centric Information and Support Environment" (DWISE) that assists primary care practitioners in applying standardized behavior change strategies and clinical practice guidelines-based recommendations to an individual patient and empower the patient with the skills and knowledge required to self-manage their diabetes through planned, personalized, and pervasive behavior change strategies...
April 18, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29666041/secure-logistic-regression-based-on-homomorphic-encryption-design-and-evaluation
#15
Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia, Xiaoqian Jiang
BACKGROUND: Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to encrypt sensitive data to store them on a commercial cloud and run certain analyses without ever decrypting the data to preserve privacy. Homomorphic encryption technique is a promising candidate for secure data outsourcing, but it is a very challenging task to support real-world machine learning tasks. Existing frameworks can only handle simplified cases with low-degree polynomials such as linear means classifier and linear discriminative analysis...
April 17, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29653922/agile-acceptance-test-driven-development-of-clinical-decision-support-advisories-feasibility-of-using-open-source-software
#16
Mujeeb A Basit, Krystal L Baldwin, Vaishnavi Kannan, Emily L Flahaven, Cassandra J Parks, Jason M Ott, Duwayne L Willett
BACKGROUND: Moving to electronic health records (EHRs) confers substantial benefits but risks unintended consequences. Modern EHRs consist of complex software code with extensive local configurability options, which can introduce defects. Defects in clinical decision support (CDS) tools are surprisingly common. Feasible approaches to prevent and detect defects in EHR configuration, including CDS tools, are needed. In complex software systems, use of test-driven development and automated regression testing promotes reliability...
April 13, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29653917/privacy-preserving-patient-similarity-learning-in-a-federated-environment-development-and-analysis
#17
Junghye Lee, Jimeng Sun, Fei Wang, Shuang Wang, Chi-Hyuck Jun, Xiaoqian Jiang
BACKGROUND: There is an urgent need for the development of global analytic frameworks that can perform analyses in a privacy-preserving federated environment across multiple institutions without privacy leakage. A few studies on the topic of federated medical analysis have been conducted recently with the focus on several algorithms. However, none of them have solved similar patient matching, which is useful for applications such as cohort construction for cross-institution observational studies, disease surveillance, and clinical trials recruitment...
April 13, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29631991/patient-adherence-to-scheduled-vital-sign-measurements-during-home-telemonitoring-analysis-of-the-intervention-arm-in-a-before-and-after-trial
#18
Branko Celler, Ahmadreza Argha, Marlien Varnfield, Rajiv Jayasena
BACKGROUND: In a home telemonitoring trial, patient adherence with scheduled vital signs measurements is an important aspect that has not been thoroughly studied and for which data in the literature are limited. Levels of adherence have been reported as varying from approximately 40% to 90%, and in most cases, the adherence rate usually dropped off steadily over time. This drop is more evident in the first few weeks or months after the start. Higher adherence rates have been reported for simple types of monitoring and for shorter periods of intervention...
April 9, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29625955/patient-physician-communication-in-the-era-of-mobile-phones-and-social-media-apps-cross-sectional-observational-study-on-lebanese-physicians-perceptions-and-attitudes
#19
Fady Daniel, Suha Jabak, Roula Sasso, Yara Chamoun, Hani Tamim
BACKGROUND: The increased prevalence of virtual communication technology, particularly social media, has shifted the physician-patient relationship away from the well-established face-to-face interaction. The views and habits of physicians in Lebanon toward the use of online apps and social media as forms of patient communication have not been previously described. OBJECTIVE: The aim of this study is to describe the views of Lebanese physicians toward the use of social media and other online apps as means of patient communication...
April 6, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29572199/assessing-the-readability-of-medical-documents-a-ranking-approach
#20
Jiaping Zheng, Hong Yu
BACKGROUND: The use of electronic health record (EHR) systems with patient engagement capabilities, including viewing, downloading, and transmitting health information, has recently grown tremendously. However, using these resources to engage patients in managing their own health remains challenging due to the complex and technical nature of the EHR narratives. OBJECTIVE: Our objective was to develop a machine learning-based system to assess readability levels of complex documents such as EHR notes...
March 23, 2018: JMIR Medical Informatics
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