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JMIR Medical Informatics

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https://www.readbyqxmd.com/read/28347973/a-software-framework-for-remote-patient-monitoring-by-using-multi-agent-systems-support
#1
Chrystinne Oliveira Fernandes, Carlos José Pereira De Lucena
BACKGROUND: Although there have been significant advances in network, hardware, and software technologies, the health care environment has not taken advantage of these developments to solve many of its inherent problems. Research activities in these 3 areas make it possible to apply advanced technologies to address many of these issues such as real-time monitoring of a large number of patients, particularly where a timely response is critical. OBJECTIVE: The objective of this research was to design and develop innovative technological solutions to offer a more proactive and reliable medical care environment...
March 27, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28330829/does-telehealth-monitoring-identify-exacerbations-of-chronic-obstructive-pulmonary-disease-and-reduce-hospitalisations-an-analysis-of-system-data
#2
Melissa Kargiannakis, Deborah A Fitzsimmons, Claire L Bentley, Gail A Mountain
BACKGROUND: The increasing prevalence and associated cost of treating chronic obstructive pulmonary disease (COPD) is unsustainable. Health care organizations are focusing on ways to support self-management and prevent hospital admissions, including telehealth-monitoring services capturing physiological and health status data. This paper reports on data captured during a pilot randomized controlled trial of telehealth-supported care within a community-based service for patients discharged from hospital following an exacerbation of their COPD...
March 22, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28258046/patient-similarity-in-prediction-models-based-on-health-data-a-scoping-review
#3
REVIEW
Anis Sharafoddini, Joel A Dubin, Joon Lee
BACKGROUND: Physicians and health policy makers are required to make predictions during their decision making in various medical problems. Many advances have been made in predictive modeling toward outcome prediction, but these innovations target an average patient and are insufficiently adjustable for individual patients. One developing idea in this field is individualized predictive analytics based on patient similarity. The goal of this approach is to identify patients who are similar to an index patient and derive insights from the records of similar patients to provide personalized predictions...
March 3, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28235750/the-state-of-open-source-electronic-health-record-projects-a-software-anthropology-study
#4
Mona Alsaffar, Peter Yellowlees, Alberto Odor, Michael Hogarth
BACKGROUND: Electronic health records (EHR) are a key tool in managing and storing patients' information. Currently, there are over 50 open source EHR systems available. Functionality and usability are important factors for determining the success of any system. These factors are often a direct reflection of the domain knowledge and developers' motivations. However, few published studies have focused on the characteristics of free and open source software (F/OSS) EHR systems and none to date have discussed the motivation, knowledge background, and demographic characteristics of the developers involved in open source EHR projects...
February 24, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28228372/progress-in-the-enhanced-use-of-electronic-medical-records-data-from-the-ontario-experience
#5
Mavis Jones, Chad Koziel, Darren Larsen, Plumaletta Berry, Elena Kubatka-Willms
BACKGROUND: This paper describes a change management strategy, including a self-assessment survey tool and electronic medical record (EMR) maturity model (EMM), developed to support the adoption and implementation of EMRs among community-based physicians in the province of Ontario, Canada. OBJECTIVE: The aim of our study was to present an analysis of progress in EMR use in the province of Ontario based on data from surveys completed by over 4000 EMR users. METHODS: The EMM and the EMR progress report (EPR) survey tool clarify levels of capability and expected benefits of improved use...
February 22, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28213343/checking-questionable-entry-of-personally-identifiable-information-encrypted-by-one-way-hash-transformation
#6
Xianlai Chen, Yang C Fann, Matthew McAuliffe, David Vismer, Rong Yang
BACKGROUND: As one of the several effective solutions for personal privacy protection, a global unique identifier (GUID) is linked with hash codes that are generated from combinations of personally identifiable information (PII) by a one-way hash algorithm. On the GUID server, no PII is permitted to be stored, and only GUID and hash codes are allowed. The quality of PII entry is critical to the GUID system. OBJECTIVE: The goal of our study was to explore a method of checking questionable entry of PII in this context without using or sending any portion of PII while registering a subject...
February 17, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28153818/ontology-driven-search-and-triage-design-of-a-web-based-visual-interface-for-medline
#7
Jonathan Demelo, Paul Parsons, Kamran Sedig
BACKGROUND: Diverse users need to search health and medical literature to satisfy open-ended goals such as making evidence-based decisions and updating their knowledge. However, doing so is challenging due to at least two major difficulties: (1) articulating information needs using accurate vocabulary and (2) dealing with large document sets returned from searches. Common search interfaces such as PubMed do not provide adequate support for exploratory search tasks. OBJECTIVE: Our objective was to improve support for exploratory search tasks by combining two strategies in the design of an interactive visual interface by (1) using a formal ontology to help users build domain-specific knowledge and vocabulary and (2) providing multi-stage triaging support to help mitigate the information overload problem...
February 2, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28096065/patient-specific-predictive-modeling-using-random-forests-an-observational-study-for-the-critically-ill
#8
Joon Lee
BACKGROUND: With a large-scale electronic health record repository, it is feasible to build a customized patient outcome prediction model specifically for a given patient. This approach involves identifying past patients who are similar to the present patient and using their data to train a personalized predictive model. Our previous work investigated a cosine-similarity patient similarity metric (PSM) for such patient-specific predictive modeling. OBJECTIVE: The objective of the study is to investigate the random forest (RF) proximity measure as a PSM in the context of personalized mortality prediction for intensive care unit (ICU) patients...
January 17, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28057607/the-value-of-electronic-medical-record-implementation-in-mental-health-care-a-case-study
#9
Sanaz Riahi, Ilan Fischler, Melanie I Stuckey, Philip E Klassen, John Chen
BACKGROUND: Electronic medical records (EMR) have been implemented in many organizations to improve the quality of care. Evidence supporting the value added to a recovery-oriented mental health facility is lacking. OBJECTIVE: The goal of this project was to implement and customize a fully integrated EMR system in a specialized, recovery-oriented mental health care facility. This evaluation examined the outcomes of quality improvement initiatives driven by the EMR to determine the value that the EMR brought to the organization...
January 5, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28007688/email-between-patient-and-provider-assessing-the-attitudes-and-perspectives-of-624-primary-health-care-patients
#10
Puneet Seth, Mohamed Ismail Abu-Abed, Vikram Kapoor, Kathryn Nicholson, Gina Agarwal
BACKGROUND: Email between patients and their health care providers can serve as a continuous and collaborative forum to improve access to care, enhance convenience of communication, reduce administrative costs and missed appointments, and improve satisfaction with the patient-provider relationship. OBJECTIVE: The main objective of this study was to investigate the attitudes of patients aged 16 years and older toward receiving email communication for health-related purposes from an academic inner-city family health team in Southern Ontario...
December 22, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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