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  1. Cancer survivors can face significant physical and psychosocial challenges; there is a need to identify and predict which survivors experience what sorts of difficulties. As highlighted in the UK National Canc...

    Authors: Laura Ashley, Helen Jones, David Forman, Alex Newsham, Julia Brown, Amy Downing, Galina Velikova and Penny Wright
    Citation: BMC Medical Informatics and Decision Making 2011 11:66
  2. The Foundational Model of Anatomy (FMA) is the reference ontology regarding human anatomy. FMA vocabulary was integrated into the Health Multi Terminological Portal (HMTP) developed by CISMeF based on the CISM...

    Authors: Tayeb Merabti, Lina F Soualmia, Julien Grosjean, Olivier Palombi, Jean-Michel Müller and Stéfan J Darmoni
    Citation: BMC Medical Informatics and Decision Making 2011 11:65
  3. The intensive care unit (ICU) length of stay (LOS) of patients undergoing cardiac surgery may vary considerably, and is often difficult to predict within the first hours after admission. The early clinical evo...

    Authors: Geert Meyfroidt, Fabian Güiza, Dominiek Cottem, Wilfried De Becker, Kristien Van Loon, Jean-Marie Aerts, Daniël Berckmans, Jan Ramon, Maurice Bruynooghe and Greet Van den Berghe
    Citation: BMC Medical Informatics and Decision Making 2011 11:64
  4. Clinical practice guidelines and Risk Assessment Models (RAMs) are some useful tools to bring medical evidences into our daily clinical practice. Despite the improvement over the time, they still have some sho...

    Authors: Nariman Sepehrvand, Firouz Ghaderi Pakdel, Mohammad Hosein Rahimi-Rad, Babak Moosavi-Toomatari and Shahrzad Bazargan-Hejazi
    Citation: BMC Medical Informatics and Decision Making 2011 11:63
  5. Clinical Prediction Rules (CPRs) are tools that quantify the contribution of symptoms, clinical signs and available diagnostic tests, and in doing so stratify patients according to the probability of having a ...

    Authors: Emma Wallace, Susan M Smith, Rafael Perera-Salazar, Paul Vaucher, Colin McCowan, Gary Collins, Jan Verbakel, Monica Lakhanpaul and Tom Fahey
    Citation: BMC Medical Informatics and Decision Making 2011 11:62
  6. The evaluation of demonstration sites set up to provide improved access to psychological therapies (IAPT) comprised the study of all people identified as having common mental health problems (CMHP), those refe...

    Authors: Simon de Lusignan, Rob Navarro, Tom Chan, Glenys Parry, Kim Dent-Brown and Tony Kendrick
    Citation: BMC Medical Informatics and Decision Making 2011 11:61
  7. The TISS standard is a set of mandatory forms and electronic messages for healthcare authorization and claim submissions among healthcare plans and providers in Brazil. It is not based on formal models as the ...

    Authors: Rigoleta DM Dias, Timothy W Cook and Sergio M Freire
    Citation: BMC Medical Informatics and Decision Making 2011 11:60
  8. Decision-making about appropriate therapy to reduce the stroke risk associated with non-valvular atrial fibrillation (NVAF) involves the consideration of trade-offs among the benefits, risks, and inconvenience...

    Authors: Liana Fraenkel, Richard L Street Jr and Terri R Fried
    Citation: BMC Medical Informatics and Decision Making 2011 11:59
  9. The University Hospital Heidelberg is implementing a Regional Health Information Network (RHIN) in the Rhine-Neckar-Region in order to establish a shared-care environment, which is based on established Health ...

    Authors: Oliver Heinze, Markus Birkle, Lennart Köster and Björn Bergh
    Citation: BMC Medical Informatics and Decision Making 2011 11:58
  10. Experience has shown that for new health-information-technology (HIT) to be suc-cessful clinicians must obtain positive clinical benefits as a result of its implementation and joint-ownership of the decisions mad...

    Authors: Anna Marie Høstgaard, Pernille Bertelsen and Christian Nøhr
    Citation: BMC Medical Informatics and Decision Making 2011 11:57
  11. The establishment of robust biosurveillance capabilities is an important component of the U.S. strategy for identifying disease outbreaks, environmental exposures and bioterrorism events. Currently, U.S. Depar...

    Authors: Cynthia A Lucero, Gina Oda, Kenneth Cox, Frank Maldonado, Joseph Lombardo, Richard Wojcik and Mark Holodniy
    Citation: BMC Medical Informatics and Decision Making 2011 11:56
  12. Microsimulation models are an important tool for estimating the comparative effectiveness of interventions through prediction of individual-level disease outcomes for a hypothetical population. To estimate the...

    Authors: Carolyn M Rutter, Diana L Miglioretti and James E Savarino
    Citation: BMC Medical Informatics and Decision Making 2011 11:55
  13. In recent years, magnetic resonance imaging (MRI) has become important in brain tumor diagnosis. Using this modality, physicians can locate specific pathologies by analyzing differences in tissue character pre...

    Authors: Thomas M Hsieh, Yi-Min Liu, Chun-Chih Liao, Furen Xiao, I-Jen Chiang and Jau-Min Wong
    Citation: BMC Medical Informatics and Decision Making 2011 11:54
  14. The Canadian Institute for Health Information (CIHI) collects hospital discharge abstract data (DAD) from Canadian provinces and territories. There are many demands for the disclosure of this data for research...

    Authors: Khaled El Emam, David Paton, Fida Dankar and Gunes Koru
    Citation: BMC Medical Informatics and Decision Making 2011 11:53
  15. Low health literacy has a detrimental effect on health outcomes, as well as ability to use online health resources. Good health literacy assessment tools must be brief to be adopted in practice; test developme...

    Authors: Sasikiran Kandula, Jessica S Ancker, David R Kaufman, Leanne M Currie and Qing Zeng-Treitler
    Citation: BMC Medical Informatics and Decision Making 2011 11:52
  16. We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorp...

    Authors: Mohammed Khalilia, Sounak Chakraborty and Mihail Popescu
    Citation: BMC Medical Informatics and Decision Making 2011 11:51
  17. The identification of patients who pose an epidemic hazard when they are admitted to a health facility plays a role in preventing the risk of hospital acquired infection. An automated clinical decision support...

    Authors: Solweig Gerbier, Olga Yarovaya, Quentin Gicquel, Anne-Laure Millet, Véronique Smaldore, Véronique Pagliaroli, Stefan Darmoni and Marie-Hélène Metzger
    Citation: BMC Medical Informatics and Decision Making 2011 11:50
  18. In the childbearing period women use the internet both to seek information and as an important source of communication. For women with type 1 diabetes, pregnancy and early motherhood constitute a more complex ...

    Authors: Carina Sparud-Lundin, Agneta Ranerup and Marie Berg
    Citation: BMC Medical Informatics and Decision Making 2011 11:49
  19. Fall events contribute significantly to mortality, morbidity and costs in our ageing population. In order to identify persons at risk and to target preventive measures, many scores and assessment tools have be...

    Authors: Michael Marschollek, Anja Rehwald, Klaus-Hendrik Wolf, Matthias Gietzelt, Gerhard Nemitz, Hubertus Meyer zu Schwabedissen and Mareike Schulze
    Citation: BMC Medical Informatics and Decision Making 2011 11:48
  20. Regular participation in physical activity can prevent many chronic health conditions. Computerized self-management programs are effective clinical tools to support patient participation in physical activity. ...

    Authors: David E Goodrich, Lorraine R Buis, Adrienne W Janney, Megan D Ditty, Christine W Krause, Kai Zheng, Ananda Sen, Victor J Strecher, Michael L Hess, John D Piette and Caroline R Richardson
    Citation: BMC Medical Informatics and Decision Making 2011 11:47
  21. The public is less willing to allow their personal health information to be disclosed for research purposes if they do not trust researchers and how researchers manage their data. However, the public is more c...

    Authors: Khaled El Emam, David Buckeridge, Robyn Tamblyn, Angelica Neisa, Elizabeth Jonker and Aman Verma
    Citation: BMC Medical Informatics and Decision Making 2011 11:46
  22. Decision curve analysis has been introduced as a method to evaluate prediction models in terms of their clinical consequences if used for a binary classification of subjects into a group who should and into a ...

    Authors: Valentin Rousson and Thomas Zumbrunn
    Citation: BMC Medical Informatics and Decision Making 2011 11:45
  23. Patients undergoing heart surgery continue to be the largest demand on blood transfusions. The need for transfusion is based on the risk of complications due to poor cell oxygenation, however large transfusion...

    Authors: Felicetta Simeone, Federico Franchi, Gabriele Cevenini, Antonino Marullo, Vittorio Fossombroni, Sabino Scolletta, Bonizella Biagioli, Pierpaolo Giomarelli and Paolo Barbini
    Citation: BMC Medical Informatics and Decision Making 2011 11:44
  24. Previously we described parents' and professionals' experiences with a web-based communication system in a 6-month pilot in three Dutch cerebral palsy care settings. We found that half of the participating pro...

    Authors: Jitske Gulmans, Miriam MR Vollenbroek-Hutten, Lisette JEWC van Gemert-Pijnen and Wim H van Harten
    Citation: BMC Medical Informatics and Decision Making 2011 11:43
  25. While the study of the information technology (IT) implementation process and its outcomes has received considerable attention, the examination of pre-adoption and pre-implementation stages of configurable IT ...

    Authors: Charo Rodríguez and Marlei Pozzebon
    Citation: BMC Medical Informatics and Decision Making 2011 11:42
  26. Chronic kidney disease (CKD) is the focus of recent national policy efforts; however, decision makers must account for multiple therapeutic options, comorbidities and complications. The objective of the Chroni...

    Authors: Lori A Orlando, Eric J Belasco, Uptal D Patel and David B Matchar
    Citation: BMC Medical Informatics and Decision Making 2011 11:41
  27. HIV-1 genotypic susceptibility scores (GSSs) were proven to be significant prognostic factors of fixed time-point virologic outcomes after combination antiretroviral therapy (cART) switch/initiation. However, ...

    Authors: Mattia CF Prosperi, Simona Di Giambenedetto, Iuri Fanti, Genny Meini, Bianca Bruzzone, Annapaola Callegaro, Giovanni Penco, Patrizia Bagnarelli, Valeria Micheli, Elisabetta Paolini, Antonio Di Biagio, Valeria Ghisetti, Massimo Di Pietro, Maurizio Zazzi and Andrea De Luca
    Citation: BMC Medical Informatics and Decision Making 2011 11:40
  28. Although numerous risk factors for adverse outcomes for older persons after an acute hospital stay have been identified, a decision making tool combining all available information in a clinically meaningful wa...

    Authors: Anja Noro, Jeffrey W Poss, John P Hirdes, Harriet Finne-Soveri, Gunnar Ljunggren, Jan Björnsson, Marianne Schroll and Palmi V Jonsson
    Citation: BMC Medical Informatics and Decision Making 2011 11:39
  29. Mathematical models can be developed to predict growth in short children treated with growth hormone (GH). These models can serve to optimize and individualize treatment in terms of height outcomes and costs. ...

    Authors: Michael B Ranke and Anders Lindberg
    Citation: BMC Medical Informatics and Decision Making 2011 11:38
  30. The internet is increasingly being used worldwide in imparting medical education and improving its delivery. It has become an important tool for healthcare professionals training but the data on its use by med...

    Authors: Nauman A Jadoon, Muhammad F Zahid, Hafiz Mansoorulhaq, Sami Ullah, Bilal A Jadoon, Ali Raza, Mansoor Hussain, Rehan Yaqoob and Mohammad A Shahzad
    Citation: BMC Medical Informatics and Decision Making 2011 11:37
  31. The clinical problem list is an important tool for clinical decision making, quality measurement and clinical decision support; however, problem lists are often incomplete and provider attitudes towards the pr...

    Authors: Adam Wright, Francine L Maloney and Joshua C Feblowitz
    Citation: BMC Medical Informatics and Decision Making 2011 11:36
  32. Computerized physician order entry systems (CPOE) can reduce the number of medication errors and adverse drug events (ADEs) in healthcare institutions. Unfortunately, they tend to produce a large number of par...

    Authors: Daniel Riedmann, Martin Jung, Werner O Hackl, Wolf Stühlinger, Heleen van der Sijs and Elske Ammenwerth
    Citation: BMC Medical Informatics and Decision Making 2011 11:35
  33. Assessing turnaround times can help to analyse workflows in hospital information systems. This paper presents a systematic review of literature concerning different turnaround time definitions. Our objectives ...

    Authors: Bernhard Breil, Fleur Fritz, Volker Thiemann and Martin Dugas
    Citation: BMC Medical Informatics and Decision Making 2011 11:34
  34. Data requirements by governments, donors and the international community to measure health and development achievements have increased in the last decade. Datasets produced in surveys conducted in several coun...

    Authors: Xavier Bosch-Capblanch
    Citation: BMC Medical Informatics and Decision Making 2011 11:33
  35. Electronic documentation handling may facilitate information flows in health care settings to support better coordination of care among Health Care Providers (HCPs), but evidence is limited. Methods that accur...

    Authors: Mark A Ballermann, Nicola T Shaw, Damon C Mayes, RT Noel Gibney and Johanna I Westbrook
    Citation: BMC Medical Informatics and Decision Making 2011 11:32
  36. Inferring viral tropism from genotype is a fast and inexpensive alternative to phenotypic testing. While being highly predictive when performed on clonal samples, sensitivity of predicting CXCR4-using (X4) var...

    Authors: Martin Däumer, Rolf Kaiser, Rolf Klein, Thomas Lengauer, Bernhard Thiele and Alexander Thielen
    Citation: BMC Medical Informatics and Decision Making 2011 11:30
  37. Even though electronic prescribing systems are widely advocated as one of the most effective means of improving patient safety, they may also introduce new risks that are not immediately obvious. Through the s...

    Authors: Sabi Redwood, Anna Rajakumar, James Hodson and Jamie J Coleman
    Citation: BMC Medical Informatics and Decision Making 2011 11:29
  38. This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the rele...

    Authors: Chiquito Crasto, Dajie Luo, Feliciano Yu, Andres Forero and Dongquan Chen
    Citation: BMC Medical Informatics and Decision Making 2011 11:28
  39. Electronic prescribing is now the norm in many countries. We wished to find out if clinical software systems used by general practitioners in Australia include features (functional capabilities and other chara...

    Authors: Michelle Sweidan, Margaret Williamson, James F Reeve, Ken Harvey, Jennifer A O'Neill, Peter Schattner and Teri Snowdon
    Citation: BMC Medical Informatics and Decision Making 2011 11:27
  40. Documenting quality of life (QoL) in routine medical care and using it both for treatment and for clinical research is not common, although such information is absolutely valuable for physicians and patients a...

    Authors: Fleur Fritz, Sonja Ständer, Bernhard Breil, Markus Riek and Martin Dugas
    Citation: BMC Medical Informatics and Decision Making 2011 11:26
  41. The quantitative study of the publication output (bibliometrics) deeply influences how scientific work is perceived (bibliometric visibility). Recently, new bibliometric indices and databases have been establi...

    Authors: Cord Spreckelsen, Thomas M Deserno and Klaus Spitzer
    Citation: BMC Medical Informatics and Decision Making 2011 11:24
  42. National authorities have to follow the evolution of diabetes to implement public health policies. An algorithm was developed to identify patients with treated type 2 diabetes and estimate its annual prevalenc...

    Authors: Laurence M Renard, Valery Bocquet, Gwenaelle Vidal-Trecan, Marie-Lise Lair, Sophie Couffignal and Claudine Blum-Boisgard
    Citation: BMC Medical Informatics and Decision Making 2011 11:23
  43. Notifying clinicians about abnormal test results through electronic health record (EHR) -based "alert" notifications may not always lead to timely follow-up of patients. We sought to understand barriers, facil...

    Authors: Sylvia J Hysong, Mona K Sawhney, Lindsey Wilson, Dean F Sittig, Adol Esquivel, Simran Singh and Hardeep Singh
    Citation: BMC Medical Informatics and Decision Making 2011 11:22
  44. Recent international sources have described how the rapid expansion of the Internet has precipitated an increase in its use by the general population to search for medical information. Most studies on e-health...

    Authors: Roberta Siliquini, Michele Ceruti, Emanuela Lovato, Fabrizio Bert, Stefania Bruno, Elisabetta De Vito, Giorgio Liguori, Lamberto Manzoli, Gabriele Messina, Davide Minniti and Giuseppe La Torre
    Citation: BMC Medical Informatics and Decision Making 2011 11:21
  45. Use of the Internet for people with Long Term Conditions (LTCs) can have a positive effect on knowledge, social support, behavioural and clinical outcomes, yet there is concern that a 'digital divide' prevents...

    Authors: Bryony Sheaves, Ray B Jones, Graham R Williamson and Rohan Chauhan
    Citation: BMC Medical Informatics and Decision Making 2011 11:20
  46. Clinicians view the accuracy of test results and the turnaround time as the two most important service aspects of the clinical microbiology laboratory. Because of the time needed for the culturing of infectiou...

    Authors: Marjan J Bruins, Gijs JHM Ruijs, Maurice JHM Wolfhagen, Peter Bloembergen and Jos ECM Aarts
    Citation: BMC Medical Informatics and Decision Making 2011 11:19
  47. As patients often see the data of their medical histories scattered among various medical records hosted in several health-care establishments, the purpose of our multidisciplinary study was to define a pragma...

    Authors: Catherine Quantin, David-Olivier Jaquet-Chiffelle, Gouenou Coatrieux, Eric Benzenine, Bertrand Auverlot and François-André Allaert
    Citation: BMC Medical Informatics and Decision Making 2011 11:18
  48. Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are sum...

    Authors: Anik Giguere, France Legare, Roland Grad, Pierre Pluye, François Rousseau, R Brian Haynes, Michel Cauchon and Michel Labrecque
    Citation: BMC Medical Informatics and Decision Making 2011 11:17

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