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  1. Clinical experts’ cognitive mechanisms for managing complexity have implications for the design of future innovative healthcare systems. The purpose of the study is to examine the constituents of decision comp...

    Authors: Roosan Islam, Charlene R. Weir, Makoto Jones, Guilherme Del Fiol and Matthew H. Samore
    Citation: BMC Medical Informatics and Decision Making 2015 15:101
  2. Collaborative collection and sharing of data have become a core element of biomedical research. Typical applications are multi-site registries which collect sensitive person-related data prospectively, often t...

    Authors: Ronald Lautenschläger, Florian Kohlmayer, Fabian Prasser and Klaus A. Kuhn
    Citation: BMC Medical Informatics and Decision Making 2015 15:100
  3. Asthma is the most common pediatric chronic disease affecting 9.6 % of American children. Delay in asthma diagnosis is prevalent, resulting in suboptimal asthma management. To help avoid delay in asthma diagno...

    Authors: Gang Luo, Flory L. Nkoy, Bryan L. Stone, Darell Schmick and Michael D. Johnson
    Citation: BMC Medical Informatics and Decision Making 2015 15:99
  4. This paper explores and evaluates the application of classical and dominance-based rough set theory (RST) for the development of data-driven prognostic classification models for hospice referral. In this work,...

    Authors: Eleazar Gil-Herrera, Garrick Aden-Buie, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes and Benjamin Djulbegovic
    Citation: BMC Medical Informatics and Decision Making 2015 15:98
  5. The gap between a large growing number of genetic tests and a suboptimal clinical workflow of incorporating these tests into regular clinical practice poses barriers to effective reliance on advanced genetic t...

    Authors: Qian Zhu, Hongfang Liu, Christopher G Chute and Matthew Ferber
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S3

    This article is part of a Supplement: Volume 15 Supplement 4

  6. Cough is an essential symptom in respiratory diseases. In the measurement of cough severity, an accurate and objective cough monitor is expected by respiratory disease society. This paper aims to introduce a b...

    Authors: Jia-Ming Liu, Mingyu You, Zheng Wang, Guo-Zheng Li, Xianghuai Xu and Zhongmin Qiu
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S2

    This article is part of a Supplement: Volume 15 Supplement 4

  7. The digitization of healthcare data, resulting from the increasingly widespread adoption of electronic health records, has greatly facilitated its analysis by computational methods and thereby enabled large-sc...

    Authors: Jing Zhao, Aron Henriksson, Lars Asker and Henrik Boström
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S1

    This article is part of a Supplement: Volume 15 Supplement 4

  8. Low back pain is the highest reported musculoskeletal problem worldwide. Up to 90 % of patients with low back pain have no clear explanation for the source and origin of their pain. These individuals commonly ...

    Authors: Fran Valenzuela-Pascual, Fidel Molina, Francisco Corbi, Joan Blanco-Blanco, Rosa M. Gil and Jorge Soler-Gonzalez
    Citation: BMC Medical Informatics and Decision Making 2015 15:97
  9. The presence of comorbid conditions is strongly related to survival and also affects treatment choices in cancer patients. This comorbidity is often quantified by the Charlson Comorbidity Index (CCI) using spe...

    Authors: Lars Lindhagen, Mieke Van Hemelrijck, David Robinson, Pär Stattin and Hans Garmo
    Citation: BMC Medical Informatics and Decision Making 2015 15:96
  10. Colorectal cancer (CRC) has a high incidence, especially in New Zealand. The reasons for this are unknown. While most cancers develop sporadically, a positive family history, determined by the number and age a...

    Authors: Michael Schultz, Steven Bohwan Seo, Alec Holt and Holger Regenbrecht
    Citation: BMC Medical Informatics and Decision Making 2015 15:95
  11. Cancer-related fatigue is a distressing symptom experienced by many after cancer treatment. An exploratory randomised controlled trial was conducted to test proof of concept of RESTORE: a web-based tool to enh...

    Authors: Michelle Myall, Carl R. May, Chloe Grimmett, Christine M. May, Lynn Calman, Alison Richardson and Claire L. Foster
    Citation: BMC Medical Informatics and Decision Making 2015 15:94
  12. At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengu...

    Authors: Ana Carolina C. Costa, Cláudia T. Codeço, Nildimar A. Honório, Gláucio R. Pereira, Carmen Fátima N. Pinheiro and Aline A. Nobre
    Citation: BMC Medical Informatics and Decision Making 2015 15:93
  13. Electronic medical records (EMRs) contain vast amounts of data that is of great interest to physicians, clinical researchers, and medial policy makers. As the size, complexity, and accessibility of EMRs grow, ...

    Authors: Chih-Wei Huang, Richard Lu, Usman Iqbal, Shen-Hsien Lin, Phung Anh (Alex) Nguyen, Hsuan-Chia Yang, Chun-Fu Wang, Jianping Li, Kwan-Liu Ma, Yu-Chuan (Jack) Li and Wen-Shan Jian
    Citation: BMC Medical Informatics and Decision Making 2015 15:92
  14. Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These ...

    Authors: Martin Toepfer, Hamo Corovic, Georg Fette, Peter Klügl, Stefan Störk and Frank Puppe
    Citation: BMC Medical Informatics and Decision Making 2015 15:91

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2015 15:103

  15. Individualised prediction of outcomes can support clinical and shared decision making. This paper describes the building of such a model to predict outcomes with and without intravenous thrombolysis treatment ...

    Authors: Peter McMeekin, Darren Flynn, Gary A. Ford, Helen Rodgers, Jo Gray and Richard G. Thomson
    Citation: BMC Medical Informatics and Decision Making 2015 15:90

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:4

  16. In 2009 the United States Preventive Services Task Force updated its breast cancer screening guidelines to recommend that average-risk women obtain a screening mammogram every two years starting at age 50 inst...

    Authors: Paula Scariati, Lisa Nelson, Lindsey Watson, Stephen Bedrick and Karen B. Eden
    Citation: BMC Medical Informatics and Decision Making 2015 15:89
  17. One of the primary obstacles to the widespread adoption of openEHR methodology is the lack of practical persistence solutions for future-proof electronic health record (EHR) systems as described by the openEHR...

    Authors: Li Wang, Lingtong Min, Rui Wang, Xudong Lu and Huilong Duan
    Citation: BMC Medical Informatics and Decision Making 2015 15:88

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:21

  18. E-health is an essential information sharing tool in healthcare management and delivery worldwide. However, utilization of e-health may only be possible if healthcare professionals have positive attitudes towa...

    Authors: Geoffrey Tabo Olok, Walter Onen Yagos and Emilio Ovuga
    Citation: BMC Medical Informatics and Decision Making 2015 15:87
  19. Although policy discourses frame integrated Electronic Health Records (EHRs) as essential for contemporary healthcare systems, increased information sharing often raises concerns among patients and the public....

    Authors: Chrysanthi Papoutsi, Julie E. Reed, Cicely Marston, Ruth Lewis, Azeem Majeed and Derek Bell
    Citation: BMC Medical Informatics and Decision Making 2015 15:86
  20. Our aim was to explore the approaches to and the challenges and benefits of implementing Electronic Patient Record systems (EPRs) into NHS acute, mental health and community care hospitals throughout England.

    Authors: Arabella Clarke, Joy Adamson, Laura Sheard, Paul Cairns, Ian Watt and John Wright
    Citation: BMC Medical Informatics and Decision Making 2015 15:85
  21. Pediatric asthma affects 7.1 million American children incurring an annual total direct healthcare cost around 9.3 billion dollars. Asthma control in children is suboptimal, leading to frequent asthma exacerba...

    Authors: Gang Luo, Bryan L. Stone, Bernhard Fassl, Christopher G. Maloney, Per H. Gesteland, Sashidhar R. Yerram and Flory L. Nkoy
    Citation: BMC Medical Informatics and Decision Making 2015 15:84
  22. Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF.

    Authors: Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene and Ivo Couckuyt
    Citation: BMC Medical Informatics and Decision Making 2015 15:83
  23. Despite the widespread availability of computerized decision support systems (CDSSs) in various healthcare settings, evidence on their uptake and effectiveness is still limited. Most barrier studies focus on C...

    Authors: Marjolein Lugtenberg, Jan-Willem Weenink, Trudy van der Weijden, Gert P. Westert and Rudolf B. Kool
    Citation: BMC Medical Informatics and Decision Making 2015 15:82
  24. Important barriers for widespread use of health information exchange (HIE) are usability and interface issues. However, most HIEs are implemented without performing a needs assessment with the end users, healt...

    Authors: Alexandra T. Strauss, Diego A. Martinez, Andres Garcia-Arce, Stephanie Taylor, Candice Mateja, Peter J. Fabri and Jose L. Zayas-Castro
    Citation: BMC Medical Informatics and Decision Making 2015 15:81
  25. Resources for home care rehabilitation are limited, and many home care clients who could benefit do not receive rehabilitation therapy. The interRAI Contact Assessment (CA) is a new screening instrument compri...

    Authors: Lu Cheng, Mu Zhu, Jeffrey W. Poss, John P. Hirdes, Christine Glenny and Paul Stolee
    Citation: BMC Medical Informatics and Decision Making 2015 15:80
  26. PTNow.org is an evidence-based, on-line portal created by a professional membership association to promote use of evidence in practice and to help decrease unwarranted variation in practice. The site contains ...

    Authors: Judith E. Deutsch, Wendy Romney, Jan Reynolds and Tara Jo Manal
    Citation: BMC Medical Informatics and Decision Making 2015 15:79
  27. We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the i...

    Authors: Jayden MacRae, Tom Love, Michael G. Baker, Anthony Dowell, Matthew Carnachan, Maria Stubbe and Lynn McBain
    Citation: BMC Medical Informatics and Decision Making 2015 15:78
  28. A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and b...

    Authors: Pepi Sfakianaki, Lefteris Koumakis, Stelios Sfakianakis, Galatia Iatraki, Giorgos Zacharioudakis, Norbert Graf, Kostas Marias and Manolis Tsiknakis
    Citation: BMC Medical Informatics and Decision Making 2015 15:77
  29. Prenatal screening tests for Down syndrome (DS) are routine in many developed countries and new tests are rapidly becoming available. Decisions about prenatal screening are increasingly complex with each succe...

    Authors: Maria Esther Leiva Portocarrero, Mirjam M Garvelink, Maria Margarita Becerra Perez, Anik Giguère, Hubert Robitaille, Brenda J. Wilson, François Rousseau and France Légaré
    Citation: BMC Medical Informatics and Decision Making 2015 15:76
  30. An Austrian Nursing Minimum Data Set (NMDS-AT) has been developed to describe the diversity of patient populations and variability of nursing care based on nursing diagnoses, nursing interventions, and nursing...

    Authors: Renate Ranegger, Werner O. Hackl and Elske Ammenwerth
    Citation: BMC Medical Informatics and Decision Making 2015 15:75

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2015 15:116

  31. The assessment of a new health technology is a multidisciplinary and multidimensional process, which requires a complex analysis and the convergence of different stakeholders into a common decision. This task ...

    Authors: Jorge Cancela, Giuseppe Fico and Maria T Arredondo Waldmeyer
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S7

    This article is part of a Supplement: Volume 15 Supplement 3

  32. Falls in the elderly is a major problem. Although falls have a multifactorial etiology, a commonly cited cause of falls in older people is poor vision. This study proposes a method to discriminate fallers and ...

    Authors: P Melillo, A Orrico, M Attanasio, S Rossi, L Pecchia, F Chirico, F Testa and F Simonelli
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S6

    This article is part of a Supplement: Volume 15 Supplement 3

  33. The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) is a European Commission led policy initiative to address the challenges of demographic change in Europe. For monitoring the health...

    Authors: Christian EH Boehler, Gimon de Graaf, Lotte Steuten, Yaling Yang and Fabienne Abadie
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S4

    This article is part of a Supplement: Volume 15 Supplement 3

  34. The project selection process is a crucial step for healthcare organizations at the moment of implementing six sigma programs in both administrative and caring processes. However, six-sigma project selection i...

    Authors: Miguel A Ortíz, Heriberto A Felizzola and Santiago Nieto Isaza
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S3

    This article is part of a Supplement: Volume 15 Supplement 3

  35. Standing from a bed or chair may cause a significant lowering of blood pressure (ΔBP), which may have severe consequences such as, for example, falls in older subjects. The goal of this study was to develop a ...

    Authors: G Sannino, P Melillo, S Stranges, G De Pietro and L Pecchia
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S2

    This article is part of a Supplement: Volume 15 Supplement 3

  36. This paper presents a system for classification of asthma and chronic obstructive pulmonary disease (COPD) based on fuzzy rules and the trained neural network.

    Authors: Almir Badnjevic, Mario Cifrek, Dragan Koruga and Dinko Osmankovic
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S1

    This article is part of a Supplement: Volume 15 Supplement 3

  37. Congestive Heart Failure (CHF) is a serious cardiac condition that brings high risks of urgent hospitalization and death. Remote monitoring systems are well-suited to managing patients suffering from CHF, and ...

    Authors: Gabriele Guidi, Luca Pollonini, Clifford C Dacso and Ernesto Iadanza
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S5

    This article is part of a Supplement: Volume 15 Supplement 3

  38. Although evidence has suggested that computerized drug-drug interaction alert systems may reduce the occurrence of drug-drug interactions, the numerous reminders and alerts generated by such systems could repr...

    Authors: Yasuyuki Nasuhara, Ken Sakushima, Akira Endoh, Reona Umeki, Hiromitsu Oki, Takehiro Yamada, Ken Iseki and Makoto Ishikawa
    Citation: BMC Medical Informatics and Decision Making 2015 15:74

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:108

  39. In the UK occupational therapy pre-discharge home visits are routinely carried out as a means of facilitating safe transfer from the hospital to home. Whilst they are an integral part of practice, there is lit...

    Authors: Arthur G. Money, Anita Atwal, Katherine L. Young, Yasmin Day, Lesley Wilson and Kevin G. Money
    Citation: BMC Medical Informatics and Decision Making 2015 15:73
  40. The increasing pervasiveness of mobile technologies has given potential to transform healthcare by facilitating clinical management using software applications. These technologies may provide valuable tools in...

    Authors: Voula Gkatzidou, Kate Hone, Lorna Sutcliffe, Jo Gibbs, Syed Tariq Sadiq, Ala Szczepura, Pam Sonnenberg and Claudia Estcourt
    Citation: BMC Medical Informatics and Decision Making 2015 15:72
  41. Clinical decision support systems (CDSS) can modify clinician behaviour, yet the factors influencing their effect remain poorly understood. This study assesses the feasibility and acceptability of a CDSS suppo...

    Authors: Rachel Johnson, Maggie Evans, Helen Cramer, Kristina Bennert, Richard Morris, Sandra Eldridge, Katy Juttner, Mohammed J Zaman, Harry Hemingway, Spiros Denaxas, Adam Timmis and Gene Feder
    Citation: BMC Medical Informatics and Decision Making 2015 15:71
  42. There is general consensus that appropriate development and use of information and communication technologies (ICT) are crucial in the delivery of effective primary care (PC). Several countries are defining po...

    Authors: Sabina De Rosis and Chiara Seghieri
    Citation: BMC Medical Informatics and Decision Making 2015 15:70
  43. Health decision-making requires evidence from high-quality data. As one example, the Discharge Abstract Database (DAD) compiles data from the majority of Canadian hospitals to form one of the most comprehensiv...

    Authors: Kelsey Lucyk, Mingshan Lu, Tolulope Sajobi and Hude Quan
    Citation: BMC Medical Informatics and Decision Making 2015 15:69
  44. Recognising the limitations of a paper-based approach to documenting vital sign observations and responding to national clinical guidelines, we have explored the use of an electronic solution that could improv...

    Authors: David Wong, Timothy Bonnici, Julia Knight, Lauren Morgan, Paul Coombes and Peter Watkinson
    Citation: BMC Medical Informatics and Decision Making 2015 15:68
  45. With the introduction and implementation of a variety of government programs and policies to encourage adoption of electronic medical records (EMRs), EMRs are being increasingly adopted in North America. We so...

    Authors: Karen Tu, Jessica Widdifield, Jacqueline Young, William Oud, Noah M. Ivers, Debra A. Butt, Chad A. Leaver and Liisa Jaakkimainen
    Citation: BMC Medical Informatics and Decision Making 2015 15:67
  46. Non-adherence to Antiretroviral Treatment (ART) is strongly associated with virologic rebound and drug resistance. Studies have shown that the most frequently mentioned reason for missing ART doses is the forg...

    Authors: Mihiretu Kebede, Atinkut Zeleke, Mulusew Asemahagn and Fleur Fritz
    Citation: BMC Medical Informatics and Decision Making 2015 15:65
  47. According to the World Health Organization 130–150 million (according to WHO) of people globally are chronically infected with hepatitis C virus. The virus is responsible for chronic hepatitis that ultimately ...

    Authors: Marcin Bernas, Tomasz Orczyk, Joanna Musialik, Marek Hartleb and Barbara Błońska-Fajfrowska
    Citation: BMC Medical Informatics and Decision Making 2015 15:64
  48. Choosing the most appropriate family physician (FP) for the individual, plays a fundamental role in primary care. The aim of this study is to determine the selection criteria for the patients in choosing their...

    Authors: Emel Kuruoglu, Dilek Guldal, Vildan Mevsim and Tolga Gunvar
    Citation: BMC Medical Informatics and Decision Making 2015 15:63
  49. Bangladesh is facing serious shortage of trained health professionals. In the pluralistic healthcare system of Bangladesh, formal health care providers constitute only 5 % of the total workforce; the rest are ...

    Authors: Nazib Uz Zaman Khan, Sabrina Rasheed, Tamanna Sharmin, Tanvir Ahmed, Shehrin Shaila Mahmood, Fatema Khatun, SMA Hanifi, Shahidul Hoque, Mohammad Iqbal and Abbas Bhuiya
    Citation: BMC Medical Informatics and Decision Making 2015 15:62

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