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  1. Concordance is characterised as a negotiation-like health communication approach based on an equal and collaborative partnership between patients and health professionals. The Leeds Attitudes to Concordance II...

    Authors: Wei He, Ann Bonner and Debra Anderson
    Citation: BMC Medical Informatics and Decision Making 2015 15:60
  2. Clinical workflow is infused with large quantities of data, particularly in areas with enhanced monitoring such as the Intensive Care Unit (ICU). Information theory can quantify the expected amounts of total a...

    Authors: Joon Lee and David M. Maslove
    Citation: BMC Medical Informatics and Decision Making 2015 15:59
  3. The European eHealthMonitor project (eHM) developed a user-sensitive and interactive web portal for dementia care: the eHM Dementia Portal (eHM-DP). It aims to provide targeted and personalized support for inf...

    Authors: Sandra Schaller, Velislava Marinova-Schmidt, Jasmin Gobin, Manfred Criegee-Rieck, Lena Griebel, Sabine Engel, Veronika Stein, Elmar Graessel and Peter L Kolominsky-Rabas
    Citation: BMC Medical Informatics and Decision Making 2015 15:58
  4. Around 300 million people worldwide have asthma and prevalence is increasing. Self-management can be effective in improving a range of outcomes and is cost effective, but is underutilised as a treatment strate...

    Authors: Deborah Morrison, Frances S. Mair, Rekha Chaudhuri, Marilyn McGee-Lennon, Mike Thomas, Neil C. Thomson, Lucy Yardley and Sally Wyke
    Citation: BMC Medical Informatics and Decision Making 2015 15:57
  5. The Personal Patient Profile-Prostate (P3P), a web-based decision aid, was demonstrated to reduce decisional conflict in English-speaking men with localized prostate cancer early after initial diagnosis. The p...

    Authors: Donna L. Berry, Barbara Halpenny, Jaclyn L. F. Bosco, John Bruyere Jr and Martin G. Sanda
    Citation: BMC Medical Informatics and Decision Making 2015 15:56
  6. Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following canc...

    Authors: Timothy A Dobbins, Tim Badgery-Parker, David C Currow and Jane M Young
    Citation: BMC Medical Informatics and Decision Making 2015 15:55
  7. Clinical vignettes are often used to elicit information about health conditions in research studies. This review summarizes the components of clinical vignettes describing Alzheimer’s disease (AD) or other dem...

    Authors: Harkanwal Randhawa, Aalim Jiwa and Mark Oremus
    Citation: BMC Medical Informatics and Decision Making 2015 15:54
  8. Death certificates provide an invaluable source for mortality statistics which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of ...

    Authors: Bevan Koopman, Sarvnaz Karimi, Anthony Nguyen, Rhydwyn McGuire, David Muscatello, Madonna Kemp, Donna Truran, Ming Zhang and Sarah Thackway
    Citation: BMC Medical Informatics and Decision Making 2015 15:53
  9. Much attention in recent years has been given to the topic of public engagement in health technology assessment (HTA) decision-making. HTA organizations spend substantial resources and time on undertaking publ...

    Authors: Sally Wortley, Allison Tong, Emily Lancsar, Glenn Salkeld and Kirsten Howard
    Citation: BMC Medical Informatics and Decision Making 2015 15:52
  10. The Health Care Climate Questionnaire measures patient perceptions of their clinician’s autonomy supportive communication. We sought to evaluate the psychometric properties of a modified brief version of the Heal...

    Authors: Dean Shumway, Kent A. Griffith, Reshma Jagsi, Sheryl G. Gabram, Geoffrey C. Williams and Ken Resnicow
    Citation: BMC Medical Informatics and Decision Making 2015 15:51
  11. Parents are increasingly faced with decisions about optional newborn bloodspot screening (NBS) despite no consistent policy for communicating information about such testing. We examined whether framing optiona...

    Authors: Sarah E. Lillie, Beth A. Tarini, Nancy K. Janz and Brian J. Zikmund-Fisher
    Citation: BMC Medical Informatics and Decision Making 2015 15:50
  12. Estimation of health prevalences is usually performed with a single survey. Some attempts have been made to integrate more than one source of data. We propose here to validate this approach through data fusion...

    Authors: Tomàs Aluja-Banet, Josep Daunis-i-Estadella, Núria Brunsó and Anna Mompart-Penina
    Citation: BMC Medical Informatics and Decision Making 2015 15:49
  13. We have shown in a randomized controlled trial that a computerized patient decision aid (P-DA) improves medical knowledge and reduces decisional conflict, in early stage papillary thyroid cancer patients consi...

    Authors: Anna M. Sawka, Sharon Straus, Gary Rodin, Richard W. Tsang, James D. Brierley, Lorne Rotstein, Phillip Segal, Amiram Gafni, Shereen Ezzat and David P. Goldstein
    Citation: BMC Medical Informatics and Decision Making 2015 15:48
  14. Malaria is the world’s most prevalent vector-borne disease. Accurate prediction of malaria outbreaks may lead to public health interventions that mitigate disease morbidity and mortality.

    Authors: Anna L. Buczak, Benjamin Baugher, Erhan Guven, Liane C. Ramac-Thomas, Yevgeniy Elbert, Steven M. Babin and Sheri H. Lewis
    Citation: BMC Medical Informatics and Decision Making 2015 15:47
  15. Self-management strategies have the potential to support patients with chronic obstructive pulmonary disease (COPD). Telehealth interventions may have a role in delivering this support along with the opportuni...

    Authors: Maxine Hardinge, Heather Rutter, Carmelo Velardo, Syed Ahmar Shah, Veronika Williams, Lionel Tarassenko and Andrew Farmer
    Citation: BMC Medical Informatics and Decision Making 2015 15:46
  16. Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high...

    Authors: Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert and Julián Moreno-Schneider
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S6

    This article is part of a Supplement: Volume 15 Supplement 2

  17. The S ystematized N omenclature of Med icine - C linical T erms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The f...

    Authors: Olatz Perez-de-Viñaspre and Maite Oronoz
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S5

    This article is part of a Supplement: Volume 15 Supplement 2

  18. In Western languages the period character is highly ambiguous, due to its double role as sentence delimiter and abbreviation marker. This is particularly relevant in clinical free-texts characterized by numero...

    Authors: Markus Kreuzthaler and Stefan Schulz
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S4

    This article is part of a Supplement: Volume 15 Supplement 2

  19. Phenotypic information locked away in unstructured narrative text presents significant barriers to information accessibility, both for clinical practitioners and for computerised applications used for clinical...

    Authors: Noha Alnazzawi, Paul Thompson, Riza Batista-Navarro and Sophia Ananiadou
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S3

    This article is part of a Supplement: Volume 15 Supplement 2

  20. Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs ...

    Authors: Hans Moen, Filip Ginter, Erwin Marsi, Laura-Maria Peltonen, Tapio Salakoski and Sanna Salanterä
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S2

    This article is part of a Supplement: Volume 15 Supplement 2

  21. Primary endocrine therapy (PET) is a recognised alternative to surgery followed by endocrine therapy for a subset of older, frailer women with breast cancer. Choice of treatment is preference-sensitive and may...

    Authors: Kate J Lifford, Jana Witt, Maria Burton, Karen Collins, Lisa Caldon, Adrian Edwards, Malcolm Reed, Lynda Wyld and Kate Brain
    Citation: BMC Medical Informatics and Decision Making 2015 15:45
  22. Head and Neck Squamous Cell Carcinoma (HNSCC) has a high incidence in elderly patients. The postoperative complications present great challenges within treatment and they're hard for early warning.

    Authors: YiMing Chen, Wei Cao, XianChao Gao, HuiShan Ong and Tong Ji
    Citation: BMC Medical Informatics and Decision Making 2015 15:44
  23. Similarity-based retrieval of Electronic Health Records (EHRs) from large clinical information systems provides physicians the evidence support in making diagnoses or referring examinations for the suspected c...

    Authors: Lawrence WC Chan, Ying Liu, Tao Chan, Helen KW Law, SC Cesar Wong, Andy PH Yeung, KF Lo, SW Yeung, KY Kwok, William YL Chan, Thomas YH Lau and Chi-Ren Shyu
    Citation: BMC Medical Informatics and Decision Making 2015 15:43
  24. When new pharmaceutical products appear on the market, physicians need to know whether they are likely to be useful in their practices. Physicians currently obtain most of their information about the market re...

    Authors: Maia Iordatii, Alain Venot and Catherine Duclos
    Citation: BMC Medical Informatics and Decision Making 2015 15:42
  25. An academic, community medicine partnership was established to build a phenotype-to-outcome model targeting chronic pain. This model will be used to drive clinical decision support for pain medicine in the com...

    Authors: David A. Juckett, Fred N. Davis, Mark Gostine, Philip Reed and Rebecca Risko
    Citation: BMC Medical Informatics and Decision Making 2015 15:41
  26. There is increasing interest in using prediction models to identify patients at risk of readmission or death after hospital discharge, but existing models have significant limitations. Electronic medical recor...

    Authors: Ruben Amarasingham, Ferdinand Velasco, Bin Xie, Christopher Clark, Ying Ma, Song Zhang, Deepa Bhat, Brian Lucena, Marco Huesch and Ethan A. Halm
    Citation: BMC Medical Informatics and Decision Making 2015 15:39
  27. Bio-entity extraction is a pivotal component for information extraction from biomedical literature. The dictionary-based bio-entity extraction is the first generation of Named Entity Recognition (NER) techniques.

    Authors: Min Song, Hwanjo Yu and Wook-Shin Han
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S9

    This article is part of a Supplement: Volume 15 Supplement 1

  28. Electronic Health Records (EHRs) are frequently used by clinicians and researchers to search for, extract, and analyze groups of patients by defining Health Outcome of Interests (HOI). The definition of an HOI...

    Authors: Olivier C Curé, Henri Maurer, Nigam H Shah and Paea Le Pendu
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S8

    This article is part of a Supplement: Volume 15 Supplement 1

  29. It has been reported that several brain diseases can be treated as transnosological manner implicating possible common molecular basis under those diseases. However, molecular level commonality among those bra...

    Authors: Kihoon Cha, Taeho Hwang, Kimin Oh and Gwan-Su Yi
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S7

    This article is part of a Supplement: Volume 15 Supplement 1

  30. Alterations of a genome can lead to changes in protein functions. Through these genetic mutations, a protein can lose its native function (loss-of-function, LoF), or it can confer a new function (gain-of-funct...

    Authors: Seunghwan Jung, Sejoon Lee, Sangwoo Kim and Hojung Nam
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S6

    This article is part of a Supplement: Volume 15 Supplement 1

  31. Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promisi...

    Authors: Lin Chen, Kirsten Vallmuur and Richi Nayak
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S5

    This article is part of a Supplement: Volume 15 Supplement 1

  32. The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received m...

    Authors: Jin G Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler and Heng Ji
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S4

    This article is part of a Supplement: Volume 15 Supplement 1

  33. Interactions between biological entities such as genes, proteins and metabolites, so called pathways, are key features to understand molecular mechanisms of life. As pathway information is being accumulated ra...

    Authors: Seyeol Yoon, Jinmyung Jung, Hasun Yu, Mijin Kwon, Sungji Choo, Kyunghyun Park, Dongjin Jang, Sangwoo Kim and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S3

    This article is part of a Supplement: Volume 15 Supplement 1

  34. Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including medicine. Although parsers developed i...

    Authors: Min Jiang, Yang Huang, Jung-wei Fan, Buzhou Tang, Josh Denny and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S2

    This article is part of a Supplement: Volume 15 Supplement 1

  35. Alzheimer's disease (AD) is a neurodegenerative and progressive disorder that results in brain malfunctions. Resting-state (RS) functional magnetic resonance imaging (fMRI) techniques have been successfully ap...

    Authors: Jongan Lee, Younghoon Kim, Yong Jeong, Duk L Na, Jong-Won Kim, Kwang H Lee and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S1

    This article is part of a Supplement: Volume 15 Supplement 1

  36. The Operating Room (OR) is a key resource of all major hospitals, but it also accounts for up 40 % of resource costs. Improving cost effectiveness, while maintaining a quality of care, is a universal objective...

    Authors: Simone Barbagallo, Luca Corradi, Jean de Ville de Goyet, Marina Iannucci, Ivan Porro, Nicola Rosso, Elena Tanfani and Angela Testi
    Citation: BMC Medical Informatics and Decision Making 2015 15:38
  37. In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specif...

    Authors: Qi Li, Stephen Andrew Spooner, Megan Kaiser, Nataline Lingren, Jessica Robbins, Todd Lingren, Huaxiu Tang, Imre Solti and Yizhao Ni
    Citation: BMC Medical Informatics and Decision Making 2015 15:37
  38. The incidence of chronic diseases in low- and middle-income countries is rapidly increasing both in urban and rural regions. A major challenge for health systems globally is to develop innovative solutions for...

    Authors: Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko and Gari Clifford
    Citation: BMC Medical Informatics and Decision Making 2015 15:36
  39. Computerized clinical decision support (CDS) can help hospitals to improve healthcare. However, CDS can be problematic. The purpose of this study was to discover how the views of clinical stakeholders, CDS con...

    Authors: Joan S Ash, Dean F Sittig, Carmit K McMullen, Adam Wright, Arwen Bunce, Vishnu Mohan, Deborah J Cohen and Blackford Middleton
    Citation: BMC Medical Informatics and Decision Making 2015 15:35
  40. One economical way to inform patients about their illness and medical procedures is to provide written health information material. So far, a generic and psychometrically sound scale to evaluate cognitive, emo...

    Authors: Lars P Hölzel, Zivile Ries, Jörg Dirmaier, Jördis M Zill, Levente Kriston, Christian Klesse, Martin Härter and Isaac Bermejo
    Citation: BMC Medical Informatics and Decision Making 2015 15:34
  41. Provision of care to patients with chronic diseases remains a great challenge for modern health care systems. eHealth is indicated as one of the strategies which could improve care delivery to this group of pa...

    Authors: Mariusz Duplaga
    Citation: BMC Medical Informatics and Decision Making 2015 15:33
  42. Personal Health Records (PHRs) are electronic health records controlled, shared or maintained by patients to support patient centered care. The potential for PHRs to transform health care is significant; howev...

    Authors: Morgan Price, Paule Bellwood, Nicole Kitson, Iryna Davies, Jens Weber and Francis Lau
    Citation: BMC Medical Informatics and Decision Making 2015 15:32
  43. Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive ...

    Authors: Marcello Tonelli, Natasha Wiebe, Martin Fortin, Bruce Guthrie, Brenda R Hemmelgarn, Matthew T James, Scott W Klarenbach, Richard Lewanczuk, Braden J Manns, Paul Ronksley, Peter Sargious, Sharon Straus and Hude Quan
    Citation: BMC Medical Informatics and Decision Making 2015 15:31

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:177

  44. Effective implementation of a Primary Care Medical Home model of care (PCMH) requires integration of patients’ contextual information (physical, mental, social and financial status) into an easily retrievable ...

    Authors: Charlene R Weir, Nancy Staggers, Bryan Gibson, Kristina Doing-Harris, Robyn Barrus and Robert Dunlea
    Citation: BMC Medical Informatics and Decision Making 2015 15:30
  45. The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge f...

    Authors: François Séverac, Erik A Sauleau, Nicolas Meyer, Hassina Lefèvre, Gabriel Nisand and Nicolas Jay
    Citation: BMC Medical Informatics and Decision Making 2015 15:29
  46. Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP)...

    Authors: Yizhao Ni, Jordan Wright, John Perentesis, Todd Lingren, Louise Deleger, Megan Kaiser, Isaac Kohane and Imre Solti
    Citation: BMC Medical Informatics and Decision Making 2015 15:28
  47. Numerous calls have been made for greater assimilation of information technology in healthcare organizations in general, and in primary care settings in particular. Considering the levels of IT investment and ...

    Authors: Louis Raymond, Guy Paré, Ana Ortiz de Guinea, Placide Poba-Nzaou, Marie-Claude Trudel, Josianne Marsan and Thomas Micheneau
    Citation: BMC Medical Informatics and Decision Making 2015 15:27
  48. Despite the potential for electronic health records (EHRs) to improve patient safety and quality of care, the intended benefits of EHRs are not always realized because of implementation-related challenges. Enl...

    Authors: Christina T Yuan, Elizabeth H Bradley and Ingrid M Nembhard
    Citation: BMC Medical Informatics and Decision Making 2015 15:26

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