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  1. Telehealth technologies, which enable delivery of healthcare services at distance, offer promise for responding to the challenges created by an ageing population. However, successful implementation of teleheal...

    Authors: Wendy Shulver, Maggie Killington and Maria Crotty
    Citation: BMC Medical Informatics and Decision Making 2016 16:131
  2. Computer adaptive testing (CAT) of the activities of daily living (ADL) functions is required (i) to reveal the advantages of using an efficient and accurate estimation method, (ii) to determine the cutpoint f...

    Authors: Tsair-Wei Chien and Weir-Sen Lin
    Citation: BMC Medical Informatics and Decision Making 2016 16:130
  3. Administrative records in France, especially medical and social records, have huge potential for statistical studies. The NIR (a national identifier) is widely used in medico-social administrations, and this w...

    Authors: Maxence Guesdon, Eric Benzenine, Kamel Gadouche and Catherine Quantin
    Citation: BMC Medical Informatics and Decision Making 2016 16:129
  4. Obesity disproportionately affects Latina women, but few targeted, technology-assisted interventions that incorporate tailored health information exist for this population. The Veterans Health Administration (...

    Authors: Hector R. Perez, Michael W. Nick, Katrina F. Mateo, Allison Squires, Scott E. Sherman, Adina Kalet and Melanie Jay
    Citation: BMC Medical Informatics and Decision Making 2016 16:128
  5. The Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) is an international collaborative project with the overall objective of standardizing the approach to the evaluation and treatment o...

    Authors: Amelia Barwise, Lisbeth Garcia-Arguello, Yue Dong, Manasi Hulyalkar, Marija Vukoja, Marcus J. Schultz, Neill K. J. Adhikari, Benjamin Bonneton, Oguz Kilickaya, Rahul Kashyap, Ognjen Gajic and Christopher N. Schmickl
    Citation: BMC Medical Informatics and Decision Making 2016 16:127
  6. Millions of Americans need but don’t receive treatment for substance use, and evidence suggests that addiction-focused interventions on smart phones could support their recovery. There is little research on im...

    Authors: Marie-Louise Mares, David H. Gustafson, Joseph E. Glass, Andrew Quanbeck, Helene McDowell, Fiona McTavish, Amy K. Atwood, Lisa A. Marsch, Chantelle Thomas, Dhavan Shah, Randall Brown, Andrew Isham, Mary Jane Nealon and Victoria Ward
    Citation: BMC Medical Informatics and Decision Making 2016 16:126
  7. Trauma is the leading cause of death between the ages of 1 to 44 in the United States. Blood loss is the primary cause of these deaths. The discrimination of states through which patients transition would be h...

    Authors: Yuanyang Zhang, Tie Bo Wu, Bernie J. Daigle Jr, Mitchell Cohen and Linda Petzold
    Citation: BMC Medical Informatics and Decision Making 2016 16:124
  8. Hospital-based patient portals have the potential to better inform and engage patients in their care. We sought to assess patients’ and healthcare providers’ perceptions of a hospital-based portal and identify...

    Authors: Kevin J. O’Leary, Rashmi K. Sharma, Audrey Killarney, Lyndsey S. O’Hara, Mary E. Lohman, Eckford Culver, David M. Liebovitz and Kenzie A. Cameron
    Citation: BMC Medical Informatics and Decision Making 2016 16:123
  9. Presentation of confidence intervals alongside information about treatment effects can support informed treatment choices in people with multiple sclerosis.

    Authors: Anne C. Rahn, Imke Backhus, Franz Fuest, Karin Riemann-Lorenz, Sascha Köpke, Adrianus van de Roemer, Ingrid Mühlhauser and Christoph Heesen
    Citation: BMC Medical Informatics and Decision Making 2016 16:122
  10. Standards, methods, and tools supporting the integration of clinical data and genomic information are an area of significant need and rapid growth in biomedical informatics. Integration of cancer clinical data...

    Authors: Harry Hochheiser, Melissa Castine, David Harris, Guergana Savova and Rebecca S. Jacobson
    Citation: BMC Medical Informatics and Decision Making 2016 16:121
  11. Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and syn...

    Authors: Siobhan O’Connor, Peter Hanlon, Catherine A. O’Donnell, Sonia Garcia, Julie Glanville and Frances S. Mair
    Citation: BMC Medical Informatics and Decision Making 2016 16:120
  12. Modern flexible multiple daily injection (MDI) therapy requires people with diabetes to manage complex mathematical calculations to determine insulin doses on a day to day basis. Automated bolus calculators as...

    Authors: Brigid A. Knight, H. David McIntyre, Ingrid J. Hickman and Marina Noud
    Citation: BMC Medical Informatics and Decision Making 2016 16:119
  13. Approximately 90 % of physicians in Japan use Kampo medicine in daily practice. However, it is a challenge for physicians who do not specialize in Kampo medicine to select a proper Kampo formula out of the 148...

    Authors: Tetsuhiro Yoshino, Kotoe Katayama, Yuko Horiba, Kaori Munakata, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Hideki Mima and Kenji Watanabe
    Citation: BMC Medical Informatics and Decision Making 2016 16:118
  14. The Analytic Hierarchy Process (AHP) is increasingly used to measure patient priorities. Studies have shown that there are several different approaches to data acquisition and data aggregation. The aim of this...

    Authors: Frédéric Pauer, Katharina Schmidt, Ana Babac, Kathrin Damm, Martin Frank and J.-Matthias Graf von der Schulenburg
    Citation: BMC Medical Informatics and Decision Making 2016 16:117
  15. The intent of this review is to discover the types of inquiry and range of objectives and outcomes addressed in studies of the impacts of Electronic Medical Record (EMR) implementations in limited resource set...

    Authors: Badeia Jawhari, Dave Ludwick, Louanne Keenan, David Zakus and Robert Hayward
    Citation: BMC Medical Informatics and Decision Making 2016 16:116
  16. The wide offer of information on pharmaceuticals does not often fulfill physicians’ needs: problems of relevance, access, quality and applicability are widely recognized, and doctors often rely on their own ex...

    Authors: Giulio Formoso, Paolo Rizzini, Maurizio Bassi, Paolo Bonfanti, Giuliano Rizzardini, Annalisa Campomori and Paola Mosconi
    Citation: BMC Medical Informatics and Decision Making 2016 16:115
  17. Healthcare providers generate a huge amount of biomedical data stored in either legacy system (paper-based) format or electronic medical records (EMR) around the world, which are collectively referred to as bi...

    Authors: Ligang Luo, Liping Li, Jiajia Hu, Xiaozhe Wang, Boulin Hou, Tianze Zhang and Lue Ping Zhao
    Citation: BMC Medical Informatics and Decision Making 2016 16:114
  18. Few studies have evaluated stakeholder engagement in chronic kidney disease (CKD) research prioritization. In this two-arm, parallel group randomized controlled trial, we sought to compare an in-person nominal...

    Authors: Meghan J. Elliott, Sharon E. Straus, Neesh Pannu, Sofia B. Ahmed, Andreas Laupacis, George C. Chong, David R. Hillier, Kate T. Huffman, Andrew C. Lei, Berlene V. Villanueva, Donna M. Young, Helen Tam-Tham, Maoliosa Donald, Erin Lillie, Braden J. Manns and Brenda R. Hemmelgarn
    Citation: BMC Medical Informatics and Decision Making 2016 16:113
  19. Medication reconciliation has been identified as an important intervention to minimize the incidence of unintentional medication discrepancies at transitions in care. However, there is a lack of evidence for t...

    Authors: Alemayehu B. Mekonnen, Tamrat B. Abebe, Andrew J. McLachlan and Jo-anne E. Brien
    Citation: BMC Medical Informatics and Decision Making 2016 16:112
  20. Prescription narcotic overdoses and abuse have reached alarming numbers. To address this epidemic, integrated clinical decision support within the electronic medical record (EMR) to impact prescribing behavior...

    Authors: Rachel B. Seymour, Daniel Leas, Meghan K. Wally and Joseph R. Hsu
    Citation: BMC Medical Informatics and Decision Making 2016 16:111

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:125

  21. The adoption of the electronic medical record (EMR) is rapidly growing in China. Constantly evolving, Chinese EMRs contain vast amounts of clinical and financial data, providing tremendous potential for resear...

    Authors: Yuan Xu, Ning Li, Mingshan Lu, Robert P. Myers, Elijah Dixon, Robin Walker, Libo Sun, Xiaofei Zhao and Hude Quan
    Citation: BMC Medical Informatics and Decision Making 2016 16:110
  22. Primary care physicians and other primary health care professionals from Alberta, Canada identified a clinical pathway as a potential tool to facilitate uptake of clinical practice guidelines for the diagnosis...

    Authors: Maoliosa Donald, Kerry McBrien, Wes Jackson, Braden J. Manns, Marcello Tonelli, Kathryn King-Shier, Kailash Jindal, Richard Z. Lewanczuk, Nairne Scott-Douglas, Ted Braun, Sharon E. Straus, Christopher Naugler, Meghan J. Elliott, Min Jun and Brenda R. Hemmelgarn
    Citation: BMC Medical Informatics and Decision Making 2016 16:109
  23. The Internet is valuable for those with limited access to health care services because of its low cost and wealth of information. Our objectives were to investigate how the Internet is used to obtain health-re...

    Authors: Susan L. Perez, Richard L. Kravitz, Robert A. Bell, Man Shan Chan and Debora A. Paterniti
    Citation: BMC Medical Informatics and Decision Making 2016 16:107
  24. Well-designed clinical prediction models (CPMs) often out-perform clinicians at estimating probabilities of clinical outcomes, though their adoption by family physicians is variable. How family physicians inte...

    Authors: Benjamin Brown, Sudeh Cheraghi-Sohi, Thomas Jaki, Ting-Li Su, Iain Buchan and Matthew Sperrin
    Citation: BMC Medical Informatics and Decision Making 2016 16:106
  25. Shared decision making is a stated aim of several healthcare systems. In the area of cancer, patients’ views have informed policy on screening and treatment but there is little information about their views on...

    Authors: Sandra Hollinghurst, Jonathan Banks, Lin Bigwood, Fiona M. Walter, Willie Hamilton and Tim J. Peters
    Citation: BMC Medical Informatics and Decision Making 2016 16:105
  26. In communicating chronic risks, there is increasing use of a metaphor that can be termed ‘effective-age’: the age of a ‘healthy’ person who has the same risk profile as the individual in question. Popular meas...

    Authors: David Spiegelhalter
    Citation: BMC Medical Informatics and Decision Making 2016 16:104
  27. Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that...

    Authors: H. P. Gomide, H. S. Bernardino, K. Richter, L. F. Martins and T. M. Ronzani
    Citation: BMC Medical Informatics and Decision Making 2016 16:103
  28. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet
    Citation: BMC Medical Informatics and Decision Making 2016 16:102
  29. Despite international initiatives like Orphanet, it remains difficult to find up-to-date information about rare diseases. The aim of this study is to propose an exhaustive set of queries for PubMed based on te...

    Authors: N. Griffon, M. Schuers, F. Dhombres, T. Merabti, G. Kerdelhué, L. Rollin and S. J. Darmoni
    Citation: BMC Medical Informatics and Decision Making 2016 16:101
  30. A specific Electronic Health Record (EHR) for ophthalmology was introduced in an academic center in Germany. As diagnoses coding corresponding to the International Classification of Diseases Version 10 (ICD-10...

    Authors: Karsten Kortüm, Christoph Hirneiß, Michael Müller, Alexander Babenko, Anselm Kampik and Thomas C. Kreutzer
    Citation: BMC Medical Informatics and Decision Making 2016 16:100
  31. Healthcare researchers often use multiple healthcare survey instruments to examine a particular patient symptom. The use of multiple instruments can pose some interesting research questions, such as whether th...

    Authors: Yuncheol Kang, Melinda R. Steis, Ann M. Kolanowski, Donna Fick and Vittaldas V. Prabhu
    Citation: BMC Medical Informatics and Decision Making 2016 16:99
  32. In biomedical research, data sharing and information exchange are very important for improving quality of care, accelerating discovery, and promoting the meaningful secondary use of clinical data. A big concer...

    Authors: Haoyi Shi, Chao Jiang, Wenrui Dai, Xiaoqian Jiang, Yuzhe Tang, Lucila Ohno-Machado and Shuang Wang
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):89

    This article is part of a Supplement: Volume 16 Supplement 3

  33. Nearest neighbor (NN) imputation algorithms are efficient methods to fill in missing data where each missing value on some records is replaced by a value obtained from related cases in the whole set of records...

    Authors: Lorenzo Beretta and Alessandro Santaniello
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):74

    This article is part of a Supplement: Volume 16 Supplement 3

  34. Accurately assessing pain for those who cannot make self-report of pain, such as minimally responsive or severely brain-injured patients, is challenging. In this paper, we attempted to address this challenge b...

    Authors: Lei Yang, Shuang Wang, Xiaoqian Jiang, Samuel Cheng and Hyeon-Eui Kim
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):73

    This article is part of a Supplement: Volume 16 Supplement 3

  35. The study on disease-disease association has been increasingly viewed and analyzed as a network, in which the connections between diseases are configured using the source information on interactome maps of bio...

    Authors: Yonghyun Nam, Myungjun Kim, Kyungwon Lee and Hyunjung Shin
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):72

    This article is part of a Supplement: Volume 16 Supplement 3

  36. Despite considerable international eHealth impetus, there is no guidance on the development of online clinical care pathways. Advances in diagnostics now enable self-testing with home diagnosis, to which compr...

    Authors: Jo Gibbs, Lorna J. Sutcliffe, Voula Gkatzidou, Kate Hone, Richard E. Ashcroft, Emma M. Harding-Esch, Catherine M. Lowndes, S. Tariq Sadiq, Pam Sonnenberg and Claudia S. Estcourt
    Citation: BMC Medical Informatics and Decision Making 2016 16:98
  37. The adoption in oncology of Clinical Decision Support (CDS) may help clinical users to efficiently deal with the high complexity of the domain, lead to improved patient outcomes, and reduce the current knowled...

    Authors: Anca Bucur, Jasper van Leeuwen, Nikolaos Christodoulou, Kamana Sigdel, Katerina Argyri, Lefteris Koumakis, Norbert Graf and Georgios Stamatakos
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):87

    This article is part of a Supplement: Volume 16 Supplement 2

  38. Glands are vital structures found throughout the human body and their structure and function are affected by many diseases. The ability to segment and detect glands among other types of tissues is important fo...

    Authors: Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran and Danny Z. Chen
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):80

    This article is part of a Supplement: Volume 16 Supplement 2

  39. Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invades neighboring tissues and destroys them. Lung cancer is the primary cause of cancer-related deaths in the world, and it ...

    Authors: David Jones Ferreira de Lucena, José Raniery Ferreira Junior, Aydano Pamponet Machado and Marcelo Costa Oliveira
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):79

    This article is part of a Supplement: Volume 16 Supplement 2

  40. People want to live independently, but too often disabilities or advanced age robs them of the ability to do the necessary activities of daily living (ADLs). Finding relationships between electromyograms measu...

    Authors: Gene Shuman, Zoran Durić, Daniel Barbará, Jessica Lin and Lynn H. Gerber
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):78

    This article is part of a Supplement: Volume 16 Supplement 2

  41. Longitudinal data sources, such as electronic health records (EHRs), are very valuable for monitoring adverse drug events (ADEs). However, ADEs are heavily under-reported in EHRs. Using machine learning algori...

    Authors: Jing Zhao and Aron Henriksson
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):71

    This article is part of a Supplement: Volume 16 Supplement 2

  42. Epileptic seizure is a serious health problem in the world and there is a huge population suffering from it every year. If an algorithm could automatically detect seizures and deliver the patient therapy or no...

    Authors: Guangxu Xun, Xiaowei Jia and Aidong Zhang
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):70

    This article is part of a Supplement: Volume 16 Supplement 2

  43. Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the...

    Authors: Aron Henriksson, Jing Zhao, Hercules Dalianis and Henrik Boström
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):69

    This article is part of a Supplement: Volume 16 Supplement 2

  44. The utilization of routine health information systems (HIS) for surveillance of assisted partner services (aPS) for HIV in sub-Saharan is sub-optimal, in part due to poor data quality and limited use of inform...

    Authors: Peter Cherutich, Matthew Golden, Bourke Betz, Beatrice Wamuti, Anne Ng’ang’a, Peter Maingi, Paul Macharia, Betsy Sambai, Felix Abuna, David Bukusi, Mathew Dunbar and Carey Farquhar
    Citation: BMC Medical Informatics and Decision Making 2016 16:97
  45. Risk calculation is increasingly used in lipid management, congestive heart failure, and atrial fibrillation. The risk scores are then used for decisions about statin use, anticoagulation, and implantable defi...

    Authors: Frederick North, Samuel Fox and Rajeev Chaudhry
    Citation: BMC Medical Informatics and Decision Making 2016 16:96
  46. Cardiac rehabilitation (CR) can slow or reverse the progression of cardiovascular disease (CVD). However, uptake of community-based CR is very low. E-cardiology, e-health and technology solutions for physical ...

    Authors: Roselien Buys, Jomme Claes, Deirdre Walsh, Nils Cornelis, Kieran Moran, Werner Budts, Catherine Woods and Véronique A. Cornelissen
    Citation: BMC Medical Informatics and Decision Making 2016 16:95
  47. The volume of research published in the biomedical domain has increasingly lead to researchers focussing on specific areas of interest and connections between findings being missed. Literature based discovery ...

    Authors: Judita Preiss and Mark Stevenson
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):57

    This article is part of a Supplement: Volume 16 Supplement 1

  48. Identifying subtypes of complex diseases such as cancer is the very first step toward developing highly customized therapeutics on such diseases, as their origins significantly vary even with similar physiolog...

    Authors: Sungwon Jung
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):55

    This article is part of a Supplement: Volume 16 Supplement 1

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