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    1354 results match your criteria BMC Medical Informatics and Decision Making [Journal]

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    Association between borderline dysnatremia and mortality insight into a new data mining approach.
    BMC Med Inform Decis Mak 2017 Nov 22;17(1):152. Epub 2017 Nov 22.
    Division of Geriatrics, Hôpital Européen G. Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
    Background: Even small variations of serum sodium concentration may be associated with mortality. Our objective was to confirm the impact of borderline dysnatremia for patients admitted to hospital on in-hospital mortality using real life care data from our electronic health record (EHR) and a phenome-wide association analysis (PheWAS).

    Methods: Retrospective observational study based on patient data admitted to Hôpital Européen George Pompidou, between 01/01/2008 and 31/06/2014; including 45,834 patients with serum sodium determinations on admission. Read More

    Experimental application of Business Process Management technology to manage clinical pathways: a pediatric kidney transplantation follow up case.
    BMC Med Inform Decis Mak 2017 Nov 3;17(1):151. Epub 2017 Nov 3.
    IT Department, Bambino Gesù Children's Hospital, Rome, Italy.
    Background: To test the application of Business Process Management technology to manage clinical pathways, using a pediatric kidney transplantation as case study, and to identify the benefits obtained from using this technology.

    Methods: Using a Business Process Management platform, we implemented a specific application to manage the clinical pathway of pediatric patients, and monitored the activities of the coordinator in charge of the case management during a 6-month period (from June 2015 to November 2015) using two methodologies: the traditional procedure and the one under study.

    Results: The application helped physicians and nurses to optimize the amount of time and resources devoted to management purposes. Read More

    Evaluation of data quality of interRAI assessments in home and community care.
    BMC Med Inform Decis Mak 2017 Oct 30;17(1):150. Epub 2017 Oct 30.
    School of Public Health and Health Systems, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
    Background: The aim of this project is to describe the quality of assessment data regularly collected in home and community, with techniques adapted from an evaluation of the quality of long-term care data in Canada.

    Methods: Data collected using the Resident Assessment Instrument - Home Care (RAI-HC) in Ontario and British Columbia (BC) as well as the interRAI Community Health Assessment (CHA) in Ontario were analyzed using descriptive statistics, Pearson's r correlation, and Cronbach's alpha in order to assess trends in population characteristics, convergent validity, and scale reliability.

    Results: Results indicate that RAI-HC data from Ontario and BC behave in a consistent manner, with stable trends in internal consistency providing evidence of good reliability (alpha values range from 0. Read More

    Multiple criteria decision analysis in the context of health technology assessment: a simulation exercise on metastatic colorectal cancer with multiple stakeholders in the English setting.
    BMC Med Inform Decis Mak 2017 Oct 26;17(1):149. Epub 2017 Oct 26.
    Department of Health Policy and Medical Technology Research Group, LSE Health, London School of Economics and Political Science, London, UK.
    Background: Multiple criteria decision analysis (MCDA) has appeared as a methodology to address limitations of economic evaluation in health technology assessment (HTA), however there are limited empirical evidence from real world applications. The aim of this study is to test in practice a recently developed MCDA methodological framework known as Advance Value Framework (AVF) through a proof-of-concept case study engaging multiple stakeholders.

    Methods: A multi-attribute value theory methodological process was adopted involving problem structuring, model building, model assessment and model appraisal phases. Read More

    EsPRit: ethics committee proposals for Long Term Medical Data Registries in rapidly evolving research fields - a future-proof best practice approach.
    BMC Med Inform Decis Mak 2017 Oct 18;17(1):148. Epub 2017 Oct 18.
    eHealth Research and Innovation Unit, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
    Background: Long-term data collection is a challenging task in the domain of medical research. Many effects in medicine require long periods of time to become traceable e.g. Read More

    Finnish physicians' stress related to information systems keeps increasing: a longitudinal three-wave survey study.
    BMC Med Inform Decis Mak 2017 Oct 17;17(1):147. Epub 2017 Oct 17.
    National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland.
    Background: Poorly functioning, time-consuming, and inadequate information systems are among the most important work-related psychosocial factors causing stress in physicians. The present study examined the trend in the perceived stress that was related to information systems (SRIS) among Finnish physicians during a nine-year follow-up. In addition, we examined the associations of gender, age, employment sector, specialization status, leadership position, on-call burden, and time pressure with SRIS change and levels. Read More

    Assessment of a Business-to-Consumer (B2C) model for Telemonitoring patients with Chronic Heart Failure (CHF).
    BMC Med Inform Decis Mak 2017 Oct 11;17(1):145. Epub 2017 Oct 11.
    Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, Netherlands.
    Background: The purpose of this study is to assess the Business-to-Consumer (B2C) model for telemonitoring patients with Chronic Heart Failure (CHF) by analysing the value it creates, both for organizations or ventures that provide telemonitoring services based on it, and for society.

    Methods: The business model assessment was based on the following categories: caveats, venture type, six-factor alignment, strategic market assessment, financial viability, valuation analysis, sustainability, societal impact, and technology assessment. The venture valuation was performed for three jurisdictions (countries) - Singapore, the Netherlands and the United States - in order to show the opportunities in a small, medium-sized, and large country (i. Read More

    Paramedic literature search filters: optimised for clinicians and academics.
    BMC Med Inform Decis Mak 2017 Oct 11;17(1):146. Epub 2017 Oct 11.
    Department of Community Emergency Health and Paramedic Practice, Monash University, Melbourne, Australia.
    Background: Search filters aid clinicians and academics to accurately locate literature. Despite this, there is no search filter or Medical Subject Headings (MeSH) term pertaining to paramedics. Therefore, the aim of this study was to create two filters to meet to different needs of paramedic clinicians and academics. Read More

    A health app developer's guide to law and policy: a multi-sector policy analysis.
    BMC Med Inform Decis Mak 2017 Oct 2;17(1):141. Epub 2017 Oct 2.
    Charles Perkins Centre, Faculty of Pharmacy, The University of Sydney, D17 6th floor, The Hub, Camperdown, Sydney, NSW, 2006, Australia.
    Background: Apps targeted at health and wellbeing sit in a rapidly growing industry associated with widespread optimism about their potential to deliver accessible and cost-effective healthcare. App developers might not be aware of all the regulatory requirements and best practice principles are emergent. Health apps are regulated in order to minimise their potential for harm due to, for example, loss of personal health privacy, financial costs, and health harms from delayed or unnecessary diagnosis, monitoring and treatment. Read More

    Decision support systems for incurable non-small cell lung cancer: a systematic review.
    BMC Med Inform Decis Mak 2017 Oct 2;17(1):144. Epub 2017 Oct 2.
    Department of Epidemiology and Biostatistics, VU University Medical Center, EMGO Institute for Health and Care Research, De Boelelaan 1089a, 1081, HV, Amsterdam, The Netherlands.
    Background: Individually tailored cancer treatment is essential to ensure optimal treatment and resource use. Treatments for incurable metastatic non-small cell lung cancer (NSCLC) are evolving rapidly, and decision support systems (DSS) for this patient population have been developed to balance benefits and harms for decision-making. The aim of this systematic review was to inventory DSS for stage IIIB/IV NSCLC patients. Read More

    Information needs for the rapid response team electronic clinical tool.
    BMC Med Inform Decis Mak 2017 Oct 2;17(1):142. Epub 2017 Oct 2.
    Department of Anesthesiology, Mayo Clinic, Rochester, MN, USA.
    Background: Information overload in healthcare is dangerous. It can lead to critical errors and delays. During Rapid Response Team (RRT) activations providers must make decisions quickly to rescue patients from physiological deterioration. Read More

    A study protocol of the effectiveness of PEGASUS: a multi-centred study comparing an intervention to promote shared decision making about breast reconstruction with treatment as usual.
    BMC Med Inform Decis Mak 2017 Oct 2;17(1):143. Epub 2017 Oct 2.
    Department of Health & Social Sciences, Centre for Appearance Research, Faculty of Health & Applied Sciences University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, UK.
    Background: Increasingly, women elect breast reconstruction after mastectomy. However, their expectations of surgery are often not met, and dissatisfaction with outcome and ongoing psychosocial concerns and distress are common. We developed a patient-centered intervention, PEGASUS:(Patients' Expectations and Goals: Assisting Shared Understanding of Surgery) which supports shared decision making by helping women clarify their own, individual goals about reconstruction so that they can discuss these with their surgeon. Read More

    A novel data-driven workflow combining literature and electronic health records to estimate comorbidities burden for a specific disease: a case study on autoimmune comorbidities in patients with celiac disease.
    BMC Med Inform Decis Mak 2017 Sep 29;17(1):140. Epub 2017 Sep 29.
    Georges Pompidou European Hospital (HEGP), AP-HP, Paris, France.
    Background: Data collected in EHRs have been widely used to identifying specific conditions; however there is still a need for methods to define comorbidities and sources to identify comorbidities burden. We propose an approach to assess comorbidities burden for a specific disease using the literature and EHR data sources in the case of autoimmune diseases in celiac disease (CD).

    Methods: We generated a restricted set of comorbidities using the literature (via the MeSH® co-occurrence file). Read More

    Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.
    BMC Med Inform Decis Mak 2017 Sep 25;17(1):139. Epub 2017 Sep 25.
    Department of General Practice, University of Rennes 1, F-35000, Rennes, France.
    Background: Primary care data gathered from Electronic Health Records are of the utmost interest considering the essential role of general practitioners (GPs) as coordinators of patient care. These data represent the synthesis of the patient history and also give a comprehensive picture of the population health status. Nevertheless, discrepancies between countries exist concerning routine data collection projects. Read More

    The role and benefits of accessing primary care patient records during unscheduled care: a systematic review.
    BMC Med Inform Decis Mak 2017 Sep 22;17(1):138. Epub 2017 Sep 22.
    Centre for Health Informatics Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
    Background: The purpose of this study was to assess the impact of accessing primary care records on unscheduled care. Unscheduled care is typically delivered in hospital Emergency Departments. Studies published to December 2014 reporting on primary care record access during unscheduled care were retrieved. Read More

    Communicating projected survival with treatments for chronic kidney disease: patient comprehension and perspectives on visual aids.
    BMC Med Inform Decis Mak 2017 Sep 21;17(1):137. Epub 2017 Sep 21.
    Department of Nephrology, Auckland City Hospital, 2 Park Road, Grafton, Auckland, 1023, New Zealand.
    Background: Mortality in end stage renal disease (ESRD) is higher than many malignancies. There is no data about the optimal way to present information about projected survival to patients with ESRD. In other areas, graphs have been shown to be more easily understood than narrative. Read More

    Internet use, eHealth literacy and attitudes toward computer/internet among people with schizophrenia spectrum disorders: a cross-sectional study in two distant European regions.
    BMC Med Inform Decis Mak 2017 Sep 20;17(1):136. Epub 2017 Sep 20.
    Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
    Background: Individuals with schizophrenia spectrum disorders use the Internet for general and health-related purposes. Their ability to find, understand, and apply the health information they acquire online in order to make appropriate health decisions - known as eHealth literacy - has never been investigated. The European agenda strives to limit health inequalities and enhance mental health literacy. Read More

    Risk factors of chronic periodontitis on healing response: a multilevel modelling analysis.
    BMC Med Inform Decis Mak 2017 Sep 15;17(1):135. Epub 2017 Sep 15.
    Department of Periodontics and Oral Biology, School of Stomatology, China Medical University, Shenyang, 110002, China.
    Background: Chronic periodontitis is a multifactorial polygenetic disease with an increasing number of associated factors that have been identified over recent decades. Longitudinal epidemiologic studies have demonstrated that the risk factors were related to the progression of the disease. A traditional multivariate regression model was used to find risk factors associated with chronic periodontitis. Read More

    Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
    BMC Med Inform Decis Mak 2017 Sep 13;17(1):134. Epub 2017 Sep 13.
    Departments of Medicine, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO, USA.
    Background: Electronic health records (EHRs) contain detailed clinical data stored in proprietary formats with non-standard codes and structures. Participating in multi-site clinical research networks requires EHR data to be restructured and transformed into a common format and standard terminologies, and optimally linked to other data sources. The expertise and scalable solutions needed to transform data to conform to network requirements are beyond the scope of many health care organizations and there is a need for practical tools that lower the barriers of data contribution to clinical research networks. Read More

    EXPLICIT: a feasibility study of remote expert elicitation in health technology assessment.
    BMC Med Inform Decis Mak 2017 Sep 4;17(1):131. Epub 2017 Sep 4.
    Evidence Synthesis & Modelling for Health Improvement (ESMI), Institute for Health Research, University of Exeter Medical School, University of Exeter, Room 3.09.3, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
    Background: Expert opinion is often sought to complement available information needed to inform model-based economic evaluations in health technology assessments. In this context, we define expert elicitation as the process of encoding expert opinion on a quantity of interest, together with associated uncertainty, as a probability distribution. When availability for face-to-face expert elicitation with a facilitator is limited, elicitation can be conducted remotely, overcoming challenges of finding an appropriate time to meet the expert and allowing access to experts situated too far away for practical face-to-face sessions. Read More

    Reviewing clinical guideline development tools: features and characteristics.
    BMC Med Inform Decis Mak 2017 Sep 4;17(1):132. Epub 2017 Sep 4.
    Department of computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
    Background: To improve consistency and streamline development and publication of clinical guidelines (GL), there is a need for appropriate software support. We have found few specific tools for the actual authoring and maintaining of GLs, and correspondingly few analyses or reviews of GL development tool functionality. In order to assist GL developers in selecting and evaluating tools, this study tries to address the perceived gap by pursuing four goals: 1) identifying available tools, 2) reviewing a representative group of tools and their supported functionalities, 3) uncovering themes of features that the studied tools support, and 4) compare the selected tools with respect to the themes. Read More

    Decision aids for second-line palliative chemotherapy: a randomised phase II multicentre trial.
    BMC Med Inform Decis Mak 2017 Aug 31;17(1):130. Epub 2017 Aug 31.
    Department for Health Evidence, Radboudumc, Nijmegen, the Netherlands.
    Background: There is increasing recognition of the delicate balance between the modest benefits of palliative chemotherapy and the burden of treatment. Decision aids (DAs) can potentially help patients with advanced cancer with these difficult treatment decisions, but providing detailed information could have an adverse impact on patients' well-being. The objective of this randomised phase II study was to evaluate the safety and efficacy of DAs for patients with advanced cancer considering second-line chemotherapy. Read More

    Evaluation of infectious diseases and clinical microbiology specialists' preferences for hand hygiene: analysis using the multi-attribute utility theory and the analytic hierarchy process methods.
    BMC Med Inform Decis Mak 2017 Aug 31;17(1):129. Epub 2017 Aug 31.
    Department of Biostatistics and Medical Informatics, Faculty of Medicine, Ege University, Bornova, İzmir, Turkey.
    Background: Hand hygiene is one of the most effective attempts to control nosocomial infections, and it is an important measure to avoid the transmission of pathogens. However, the compliance of healthcare workers (HCWs) with hand washing is still poor worldwide. Herein, we aimed to determine the best hand hygiene preference of the infectious diseases and clinical microbiology (IDCM) specialists to prevent transmission of microorganisms from one patient to another. Read More

    Providing guidance for genomics-based cancer treatment decisions: insights from stakeholder engagement for post-prostatectomy radiation therapy.
    BMC Med Inform Decis Mak 2017 Aug 24;17(1):128. Epub 2017 Aug 24.
    Department of Radiation Oncology, University of Virginia School of Medicine, 1240 Lee Street, Box 800383, Charlottesville, VA, 22908, USA.
    Background: Despite the emergence of genomics-based risk prediction tools in oncology, there is not yet an established framework for communication of test results to cancer patients to support shared decision-making. We report findings from a stakeholder engagement program that aimed to develop a framework for using Markov models with individualized model inputs, including genomics-based estimates of cancer recurrence probability, to generate personalized decision aids for prostate cancer patients faced with radiation therapy treatment decisions after prostatectomy.

    Methods: We engaged a total of 22 stakeholders, including: prostate cancer patients, urological surgeons, radiation oncologists, genomic testing industry representatives, and biomedical informatics faculty. Read More

    Unsatisfactory colposcopy: clinical decision-making in conditions of uncertainty.
    BMC Med Inform Decis Mak 2017 Aug 22;17(1):125. Epub 2017 Aug 22.
    Department of Women's Health, University Hospitals Bristol NHS Foundation Trust, St. Michael's Hospital, Level D, St. Michaels Hospital, Bristol, BS2 8EG, UK.
    Background: Unsatisfactory colposcopy, where the cells of interest are not visible in women with a positive cervical screening test, is a common area of clinical uncertainty due to the lack of clear evidence and guidance. Colposcopists' opinions and experiences are likely to have a significant influence on service provision and the development of national policy. The aim of this study was to analyse decision-making when applied to women with unsatisfactory colposcopy. Read More

    Empirical advances with text mining of electronic health records.
    BMC Med Inform Decis Mak 2017 Aug 22;17(1):127. Epub 2017 Aug 22.
    Research lab: EA 4047, UFR des Sciences de la Santé Simone Veil, UVSQ Université Paris-Saclay, 2 Avenue de la Source de la Bièvre, Montigny le Bretonneux, 78180, France.
    Background: Korian is a private group specializing in medical accommodations for elderly and dependent people. A professional data warehouse (DWH) established in 2010 hosts all of the residents' data. Inside this information system (IS), clinical narratives (CNs) were used only by medical staff as a residents' care linking tool. Read More

    Word2Vec inversion and traditional text classifiers for phenotyping lupus.
    BMC Med Inform Decis Mak 2017 Aug 22;17(1):126. Epub 2017 Aug 22.
    Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, 29425, USA.
    Background: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text classifiers based on Natural Language Processing (NLP) techniques along with pattern recognition machine learning (ML) algorithms. The aim of this research is to evaluate the performance of traditional classifiers for identifying patients with Systemic Lupus Erythematosus (SLE) in comparison with a newer Bayesian word vector method. Read More

    "Provoking conversations": case studies of organizations where Option Grid™ decision aids have become 'normalized'.
    BMC Med Inform Decis Mak 2017 Aug 18;17(1):124. Epub 2017 Aug 18.
    The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, 1 Medical Center Drive 5th floor, Lebanon, NH, 03756, USA.
    Background: Implementing patient decision aids in clinic workflow has proven to be a challenge for healthcare organizations and physicians. Our aim was to determine the organizational strategies, motivations, and facilitating factors to the routine implementation of Option Grid™ encounter decision aids at two independent settings.

    Method: Case studies conducted by semi-structured interview, using the Normalization Process Theory (NPT) as a framework for thematic analysis. Read More

    Examining database persistence of ISO/EN 13606 standardized electronic health record extracts: relational vs. NoSQL approaches.
    BMC Med Inform Decis Mak 2017 Aug 18;17(1):123. Epub 2017 Aug 18.
    Telemedicine and Information Society Department, Health Institute "Carlos III" (ISCIII), c/Sinesio Delgado, 4 -, 28029, Madrid, Spain.
    Background: The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic Health Record XML extracts, both in isolation and concurrently. NoSQL database systems have recently attracted much attention, but few studies in the literature address their direct comparison with relational databases when applied to build the persistence layer of a standardized medical information system.

    Methods: One relational and two NoSQL databases (one document-based and one native XML database) of three different sizes have been created in order to evaluate and compare the response times (algorithmic complexity) of six different complexity growing queries, which have been performed on them. Read More

    "Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".
    BMC Med Inform Decis Mak 2017 Aug 14;17(1):122. Epub 2017 Aug 14.
    Institute of Biomaterials and Biomedical Engineering, University of Toronto, Rosebrugh Building (RS), 164 College Street, Room 407, Toronto, ON, M5S 3G9, Canada.
    Background: Intensive care clinicians use several sources of data in order to inform decision-making. We set out to evaluate a new interactive data integration platform called T3™ made available for pediatric intensive care. Three primary functions are supported: tracking of physiologic signals, displaying trajectory, and triggering decisions, by highlighting data or estimating risk of patient instability. Read More

    A Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2.
    BMC Med Inform Decis Mak 2017 Aug 14;17(1):120. Epub 2017 Aug 14.
    Département de Santé Publique et Informatique Médicale, Hôpital Européen Georges Pompidou, Assistance Publique - Hôpitaux de Paris, Paris, France.
    Background: Standards and technical specifications have been developed to define how the information contained in Electronic Health Records (EHRs) should be structured, semantically described, and communicated. Current trends rely on differentiating the representation of data instances from the definition of clinical information models. The dual model approach, which combines a reference model (RM) and a clinical information model (CIM), sets in practice this software design pattern. Read More

    Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines.
    BMC Med Inform Decis Mak 2017 Aug 14;17(1):121. Epub 2017 Aug 14.
    Present address: National Centre for Epidemiology & Population Health, Australian National University, Canberra, ACT 2601, Australia.
    Background: Data mining techniques such as support vector machines (SVMs) have been successfully used to predict outcomes for complex problems, including for human health. Much health data is imbalanced, with many more controls than positive cases.

    Methods: The impact of three balancing methods and one feature selection method is explored, to assess the ability of SVMs to classify imbalanced diagnostic pathology data associated with the laboratory diagnosis of hepatitis B (HBV) and hepatitis C (HCV) infections. Read More

    Exploring differences in the use of the statin choice decision aid and diabetes medication choice decision aid in primary care.
    BMC Med Inform Decis Mak 2017 Aug 10;17(1):118. Epub 2017 Aug 10.
    Department of Medicine, Division of Primary Care Internal Medicine, Mayo Clinic, Rochester, MN, USA.
    Background: Shared decision making is essential to patient centered care, but can be difficult for busy clinicians to implement into practice. Tools have been developed to aid in shared decision making and embedded in electronic medical records (EMRs) to facilitate use. This study was undertaken to explore the patterns of use and barriers and facilitators to use of two decision aids, the Statin Choice Decision Aid (SCDA) and the Diabetes Medication Choice Decision Aid (DMCDA), in primary care practices where the decision aids are embedded in the EMR. Read More

    Health care providers' perceptions of use and influence of clinical decision support reminders: qualitative study following a randomized trial to improve HPV vaccination rates.
    BMC Med Inform Decis Mak 2017 Aug 10;17(1):119. Epub 2017 Aug 10.
    Regenstrief Institute, Inc., Center for Biomedical Informatics, 1101 W. 10th St, Indianapolis, IN, 46202, USA.
    Background: Human Papillomavirus (HPV) leads to serious health issues and remains the most common sexually transmitted infection. Despite availability of effective vaccines, HPV vaccination rates are suboptimal. Furthermore, providers recommend the HPV vaccine less than half the time for eligible patients. Read More

    Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.
    BMC Med Inform Decis Mak 2017 Aug 8;17(1):117. Epub 2017 Aug 8.
    School of Software, Harbin University of Science and Technology, Harbin, China.
    Background: Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor annotations based on Chinese electronic medical records (CEMRs). This corpus is intended to be used to develop a risk factor information extraction system that, in turn, can be applied as a foundation for the further study of the progress of risk factors and CVD. Read More

    Routine health information system utilization and factors associated thereof among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia.
    BMC Med Inform Decis Mak 2017 Aug 7;17(1):116. Epub 2017 Aug 7.
    Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia.
    Background: Using reliable information from routine health information systems over time is an important aid to improving health outcomes, tackling disparities, enhancing efficiency, and encouraging innovation. In Ethiopia, routine health information utilization for enhancing performance is poor among health workers, especially at the peripheral levels of health facilities. Therefore, this study aimed to assess routine health information system utilization and associated factors among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia. Read More

    Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.
    BMC Med Inform Decis Mak 2017 Aug 3;17(1):115. Epub 2017 Aug 3.
    School of Engineering and Applied Science, Aston University, B4 7ET, Birmingham, UK.
    Background: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is the unique characteristic in survival analysis. Most survival FS methods depend on Cox's proportional hazard model; however, machine learning techniques (MLT) are preferred but not commonly used due to censoring. Read More

    German dentists' websites on periodontitis have low quality of information.
    BMC Med Inform Decis Mak 2017 Aug 2;17(1):114. Epub 2017 Aug 2.
    Clinic of Conservative Dentistry and Periodontology, University Medical Center Schleswig-Holstein, Arnold-Heller-Str. 3 (Haus 26), 24105, Kiel, Germany.
    Background: The internet is an increasingly relevant source of health information. We aimed to assess the quality of German dentists' websites on periodontitis, hypothesizing that it was significantly associated with a number of practice-specific parameters.

    Methods: We searched four electronic search engines and included pages which were freely accessible, posted by a dental practice in Germany, and mentioned periodontal disease/therapy. Read More

    Physicians' pharmacogenomics information needs and seeking behavior: a study with case vignettes.
    BMC Med Inform Decis Mak 2017 Aug 1;17(1):113. Epub 2017 Aug 1.
    Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT, 84108, USA.
    Background: Genetic testing, especially in pharmacogenomics, can have a major impact on patient care. However, most physicians do not feel that they have sufficient knowledge to apply pharmacogenomics to patient care. Online information resources can help address this gap. Read More

    Developing a patient decision aid for the treatment of women with early stage breast cancer: the struggle between simplicity and complexity.
    BMC Med Inform Decis Mak 2017 Aug 1;17(1):112. Epub 2017 Aug 1.
    Zuyd University of Applied Sciences, Nieuw Eyckholt 300, 6419 DJ, Heerlen, The Netherlands.
    Background: A patient decision aid (PtDA) can support shared decision making (SDM) in preference-sensitive care, with more than one clinically applicable treatment option. The development of a PtDA is a complex process, involving several steps, such as designing, developing and testing the draft with all the stakeholders, known as alpha testing. This is followed by testing in 'real life' situations, known as beta testing, and then finalising the definite version. Read More

    Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains.
    BMC Med Inform Decis Mak 2017 Jul 19;17(1):111. Epub 2017 Jul 19.
    VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.
    Background: The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structuring clinical decision support (CDS) around clinical care. This paper describes informatics challenges and design issues that were confronted in the process of building three Web-based CDS systems in the context of the VA EHR. Read More

    Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows.
    BMC Med Inform Decis Mak 2017 Jul 19;17(1):110. Epub 2017 Jul 19.
    INESC-ID, Lisbon, Portugal.
    Background: Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As such, cohorts of MCI patients are usually heterogeneous, containing patients at different stages of the neurodegenerative process. Read More

    An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial.
    BMC Med Inform Decis Mak 2017 Jul 18;17(1):109. Epub 2017 Jul 18.
    Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, Republic of Korea.
    Background: A Personal Health Record (PHR) is an online application that allows patients to access, manage, and share their health data. PHRs not only enhance shared decision making with healthcare providers, but also enable remote monitoring and at-home-collection of detailed data. The benefits of PHRs can be maximized in insulin dose adjustment for patients starting or intensifying insulin regimens, as frequent self-monitoring of glucose, self-adjustment of insulin dose, and precise at-home data collection during the visit-to-visit period are important for glycemic control. Read More

    Evaluation of record linkage of two large administrative databases in a middle income country: stillbirths and notifications of dengue during pregnancy in Brazil.
    BMC Med Inform Decis Mak 2017 Jul 17;17(1):108. Epub 2017 Jul 17.
    London School of Hygiene and Tropical Medicine, Keppel St, Bloomsbury, London, WC1E 7HT, UK.
    Background: Due to the increasing availability of individual-level information across different electronic datasets, record linkage has become an efficient and important research tool. High quality linkage is essential for producing robust results. The objective of this study was to describe the process of preparing and linking national Brazilian datasets, and to compare the accuracy of different linkage methods for assessing the risk of stillbirth due to dengue in pregnancy. Read More

    Validation of multisource electronic health record data: an application to blood transfusion data.
    BMC Med Inform Decis Mak 2017 Jul 14;17(1):107. Epub 2017 Jul 14.
    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3508, GA, Utrecht, The Netherlands.
    Background: Although data from electronic health records (EHR) are often used for research purposes, systematic validation of these data prior to their use is not standard practice. Existing validation frameworks discuss validity concepts without translating these into practical implementation steps or addressing the potential influence of linking multiple sources. Therefore we developed a practical approach for validating routinely collected data from multiple sources and to apply it to a blood transfusion data warehouse to evaluate the usability in practice. Read More

    Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.
    BMC Med Inform Decis Mak 2017 Jul 5;17(Suppl 2):69. Epub 2017 Jul 5.
    University of Texas School of Biomedical Informatics, 7000 Fannin St Suite 600, Houston, TX, 77030, USA.
    Background: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towards HPV vaccines, especially concerns on social media, is of significant importance for HPV vaccination promotion.

    Methods: In this study, we leveraged a hierarchical machine learning based sentiment analysis system to extract public opinions towards HPV vaccines from Twitter. Read More

    Evaluation of the informatician perspective: determining types of research papers preferred by clinicians.
    BMC Med Inform Decis Mak 2017 Jul 5;17(Suppl 2):74. Epub 2017 Jul 5.
    Department of Software and Information Systems, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
    Background: To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging to locate these relevant resources out of the rapidly growing number of journals and articles currently being published. The literature-recommender system may provide a possible solution to this issue if the individual needs of clinicians can be identified and applied. Read More

    Developing a similarity searching module for patient safety event reporting system using semantic similarity measures.
    BMC Med Inform Decis Mak 2017 Jul 5;17(Suppl 2):75. Epub 2017 Jul 5.
    School of Biomedical Informatics, the University of Texas Health Science Center at Houston, 7000 Fannin St., Houston, TX, 77030, USA.
    Background: The most important knowledge in the field of patient safety is regarding the prevention and reduction of patient safety events (PSE) during treatment and care. The similarities and patterns among the events may otherwise go unnoticed if they are not properly reported and analyzed. There is an urgent need for developing a PSE reporting system that can dynamically measure the similarities of the events and thus promote event analysis and learning effect. Read More

    Entity recognition from clinical texts via recurrent neural network.
    BMC Med Inform Decis Mak 2017 Jul 5;17(Suppl 2):67. Epub 2017 Jul 5.
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
    Background: Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entities and protected health information (PHI), widely exist in clinical texts. Recognizing these entities has become a hot topic in clinical natural language processing (NLP), and a large number of traditional machine learning methods, such as support vector machine and conditional random field, have been deployed to recognize entities from clinical texts in the past few years. Read More

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