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  1. When using a conventional relational database approach to collect and query data in the context of specific clinical studies, a study with a new data set usually requires the design of a new database and entry...

    Authors: Angeliek C Venema, Astrid M van Ginneken, Marcel de Wilde and Ad JJC Bogers

    Citation: BMC Medical Informatics and Decision Making 2007 7:31

    Content type: Research article

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  2. The measurement of processes and outcomes that reflect the complexity of the decision-making process within specific clinical encounters is an important area of research to pursue. A systematic review was cond...

    Authors: France Légaré, David Moher, Glyn Elwyn, Annie LeBlanc and Karine Gravel

    Citation: BMC Medical Informatics and Decision Making 2007 7:30

    Content type: Research article

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  3. Time series data are increasingly available in health care, especially for the purpose of disease surveillance. The analysis of such data has long used periodic regression models to detect outbreaks and estima...

    Authors: Camille Pelat, Pierre-Yves Boëlle, Benjamin J Cowling, Fabrice Carrat, Antoine Flahault, Séverine Ansart and Alain-Jacques Valleron

    Citation: BMC Medical Informatics and Decision Making 2007 7:29

    Content type: Software

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  4. Time series methods are commonly used to detect disease outbreak signatures (e.g., signals due to influenza outbreaks and anthrax attacks) from varying respiratory-related diagnostic or syndromic data sources....

    Authors: Peter F Craigmile, Namhee Kim, Soledad A Fernandez and Bema K Bonsu

    Citation: BMC Medical Informatics and Decision Making 2007 7:28

    Content type: Research article

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  5. Numerous methods for classifying brain tumours based on magnetic resonance spectra and imaging have been presented in the last 15 years. Generally, these methods use supervised machine learning to develop a cl...

    Authors: Greg M Reynolds, Andrew C Peet and Theodoros N Arvanitis

    Citation: BMC Medical Informatics and Decision Making 2007 7:27

    Content type: Research article

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  6. General Practitioners and community nurses rely on easily accessible, evidence-based online information to guide practice. To date, the methods that underpin the scoping of user-identified online information n...

    Authors: Annette F Street, Kathleen Swift, Merilyn Annells, Roger Woodruff, Terry Gliddon, Anne Oakley and Goetz Ottman

    Citation: BMC Medical Informatics and Decision Making 2007 7:26

    Content type: Research article

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  7. Personally controlled health records (PCHRs), a subset of personal health records (PHRs), enable a patient to assemble, maintain and manage a secure copy of his or her medical data. Indivo (formerly PING) is a...

    Authors: Kenneth D Mandl, William W Simons, William CR Crawford and Jonathan M Abbett

    Citation: BMC Medical Informatics and Decision Making 2007 7:25

    Content type: Software

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  8. Internet tools, cell phones, and other information and communication technologies are being used by HIV-positive people on their own initiative. Little is known about the perceptions of HIV-positive people tow...

    Authors: Walter H Curioso and Ann E Kurth

    Citation: BMC Medical Informatics and Decision Making 2007 7:24

    Content type: Research article

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  9. Decision analysis techniques can be applied in complex situations involving uncertainty and the consideration of multiple objectives. Classical decision modeling techniques require elicitation of too many para...

    Authors: Haiwen Shi and James Lyons-Weiler

    Citation: BMC Medical Informatics and Decision Making 2007 7:23

    Content type: Software

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  10. To identify individual differences in physicians' needs for the presentation of evidence resources and preferences for mobile devices.

    Authors: Danielle M Lottridge, Mark Chignell, Romana Danicic-Mizdrak, Nada J Pavlovic, Andre Kushniruk and Sharon E Straus

    Citation: BMC Medical Informatics and Decision Making 2007 7:22

    Content type: Research article

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  11. Decision aids are evidence based tools that assist patients in making informed values-based choices and supplement the patient-clinician interaction. While there is evidence to show that decision aids improve ...

    Authors: Ian D Graham, Jo Logan, Carol L Bennett, Justin Presseau, Annette M O'Connor, Susan L Mitchell, Jacqueline M Tetroe, Ann Cranney, Paul Hebert and Shawn D Aaron

    Citation: BMC Medical Informatics and Decision Making 2007 7:20

    Content type: Research article

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  12. The understanding of heterogeneities in disease transmission dynamics as far as malaria vectors are concerned is a big challenge. Many studies while tackling this problem don't find exact models to explain the...

    Authors: Guillaume Koum, Augustin Yekel, Bengyella Ndifon, Josiane Etang and Frédéric Simard

    Citation: BMC Medical Informatics and Decision Making 2007 7:19

    Content type: Software

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  13. Collaboration among investigators has become critical to scientific research. This includes ad hoc collaboration established through personal contacts as well as formal consortia established by funding agencie...

    Authors: Wei Yu, Ajay Yesupriya, Anja Wulf, Junfeng Qu, Marta Gwinn and Muin J Khoury

    Citation: BMC Medical Informatics and Decision Making 2007 7:17

    Content type: Research article

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  14. Supporting 21st century health care and the practice of evidence-based medicine (EBM) requires ubiquitous access to clinical information and to knowledge-based resources to answer clinical questions. Many questio...

    Authors: Connie Schardt, Martha B Adams, Thomas Owens, Sheri Keitz and Paul Fontelo

    Citation: BMC Medical Informatics and Decision Making 2007 7:16

    Content type: Research article

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  15. For real time surveillance, detection of abnormal disease patterns is based on a difference between patterns observed, and those predicted by models of historical data. The usefulness of outbreak detection str...

    Authors: Shannon C Wieland, John S Brownstein, Bonnie Berger and Kenneth D Mandl

    Citation: BMC Medical Informatics and Decision Making 2007 7:15

    Content type: Research article

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  16. The integration of Information Systems (IS) is essential to support shared care and to provide consistent care to individuals – patient-centred care. This paper identifies, appraises and summarises studies exa...

    Authors: Ricardo J Cruz-Correia, Pedro M Vieira-Marques, Ana M Ferreira, Filipa C Almeida, Jeremy C Wyatt and Altamiro M Costa-Pereira

    Citation: BMC Medical Informatics and Decision Making 2007 7:14

    Content type: Research article

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  17. In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks...

    Authors: Cilia LM Witteman, Silja Renooij and Pieter Koele

    Citation: BMC Medical Informatics and Decision Making 2007 7:13

    Content type: Research article

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  18. Decision aids (DA) are tools designed to help patients make specific and deliberative choices among disease management options. DAs can improve the quality of decision-making and reduce decisional conflict. An...

    Authors: Elie A Akl, Brydon JB Grant, Gordon H Guyatt, Victor M Montori and Holger J Schünemann

    Citation: BMC Medical Informatics and Decision Making 2007 7:12

    Content type: Research article

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  19. Multiple sclerosis is a chronic disease of uncertain aetiology. Variations in its disease course make it difficult to impossible to accurately determine the prognosis of individual patients. The Sylvia Lawry C...

    Authors: M Daumer, A Neuhaus, C Lederer, M Scholz, JS Wolinsky and M Heiderhoff

    Citation: BMC Medical Informatics and Decision Making 2007 7:11

    Content type: Software

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  20. Terminologies and classifications are used for different purposes and have different structures and content. Linking or mapping terminologies and classifications has been pointed out as a possible way to achie...

    Authors: Anna Vikström, Ylva Skånér, Lars-Erik Strender and Gunnar H Nilsson

    Citation: BMC Medical Informatics and Decision Making 2007 7:9

    Content type: Research article

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  21. For shared decision making doctors need to communicate the effectiveness of therapies such that patients can understand it and discriminate between small and large effects. Previous research indicates that pat...

    Authors: Rasmus Dahl, Dorte Gyrd-Hansen, Ivar Sønbø Kristiansen, Jørgen Nexøe and Jesper Bo Nielsen

    Citation: BMC Medical Informatics and Decision Making 2007 7:8

    Content type: Research article

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  22. Online drug information databases are used to assist in enhancing clinical decision support. However, the choice of which online database to consult, purchase or subscribe to is likely made based on subjective...

    Authors: Kevin A Clauson, Wallace A Marsh, Hyla H Polen, Matthew J Seamon and Blanca I Ortiz

    Citation: BMC Medical Informatics and Decision Making 2007 7:7

    Content type: Research article

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  23. The usefulness of syndromic surveillance for early outbreak detection depends in part on effective statistical aberration detection. However, few published studies have compared different detection algorithms ...

    Authors: Michael L Jackson, Atar Baer, Ian Painter and Jeff Duchin

    Citation: BMC Medical Informatics and Decision Making 2007 7:6

    Content type: Research article

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  24. This study implemented and evaluated a point-of-care, wireless Internet access using smart phones for information retrieval during daily clinical rounds and academic activities of internal medicine residents i...

    Authors: Sergio A León, Paul Fontelo, Linda Green, Michael Ackerman and Fang Liu

    Citation: BMC Medical Informatics and Decision Making 2007 7:5

    Content type: Research article

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  25. The ability to detect disease outbreaks in their early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatio-temporal ...

    Authors: Rochelle E Watkins, Serryn Eagleson, Sam Beckett, Graeme Garner, Bert Veenendaal, Graeme Wright and Aileen J Plant

    Citation: BMC Medical Informatics and Decision Making 2007 7:4

    Content type: Software

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  26. The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient s...

    Authors: Herman D Tolentino, Michael D Matters, Wikke Walop, Barbara Law, Wesley Tong, Fang Liu, Paul Fontelo, Katrin Kohl and Daniel C Payne

    Citation: BMC Medical Informatics and Decision Making 2007 7:3

    Content type: Research article

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  27. Much of the research on decision-making in health care has focused on consultation outcomes. Less is known about the process by which clinicians and patients come to a treatment decision. This study aimed to q...

    Authors: Eileen Kaner, Ben Heaven, Tim Rapley, Madeleine Murtagh, Ruth Graham, Richard Thomson and Carl May

    Citation: BMC Medical Informatics and Decision Making 2007 7:2

    Content type: Research article

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  28. Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words with...

    Authors: Mir S Siadaty, Jianfen Shu and William A Knaus

    Citation: BMC Medical Informatics and Decision Making 2007 7:1

    Content type: Software

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  29. Throughout the medical and paramedical professions, self-report health status questionnaires are used to gather patient-reported outcome measures. The objective of this pilot study was to evaluate in individua...

    Authors: Patrick Boissy, Karen Jacobs and Serge H Roy

    Citation: BMC Medical Informatics and Decision Making 2006 6:42

    Content type: Research article

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  30. Syndromic surveillance (SS) can potentially contribute to outbreak detection capability by providing timely, novel data sources. One SS challenge is that some syndrome counts vary with season in a manner that ...

    Authors: Tom Burr, Todd Graves, Richard Klamann, Sarah Michalak, Richard Picard and Nicolas Hengartner

    Citation: BMC Medical Informatics and Decision Making 2006 6:40

    Content type: Research article

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  31. Traumatic brain injury (TBI) is a leading cause of death and disability world-wide. The ability to accurately predict patient outcome after TBI has an important role in clinical practice and research. Prognost...

    Authors: Pablo Perel, Phil Edwards, Reinhard Wentz and Ian Roberts

    Citation: BMC Medical Informatics and Decision Making 2006 6:38

    Content type: Research article

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  32. Diagnostic error is a significant problem in specialities characterised by diagnostic uncertainty such as primary care, emergency medicine and paediatrics. Despite wide-spread availability, computerised aids h...

    Authors: Padmanabhan Ramnarayan, Andrew Winrow, Michael Coren, Vasanta Nanduri, Roger Buchdahl, Benjamin Jacobs, Helen Fisher, Paul M Taylor, Jeremy C Wyatt and Joseph Britto

    Citation: BMC Medical Informatics and Decision Making 2006 6:37

    Content type: Research article

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  33. This paper reports on a parallel collection of rubrics from the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P and its use for semi-automatic creation of an English-Swedish dictionary of medic...

    Authors: Mikael Nyström, Magnus Merkel, Lars Ahrenberg, Pierre Zweigenbaum, Håkan Petersson and Hans Åhlfeldt

    Citation: BMC Medical Informatics and Decision Making 2006 6:35

    Content type: Research article

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  34. The Internet has been increasingly utilized in biomedical research. From online searching for literature to data sharing, the Internet has emerged as a primary means of research for many physicians and scienti...

    Authors: Anand Shah, Danny O Jacobs, Henrique Martins, Matthew Harker, Andreia Menezes, Mariana McCready and Ricardo Pietrobon

    Citation: BMC Medical Informatics and Decision Making 2006 6:34

    Content type: Software

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  35. Online information retrieval systems have the potential to improve patient care but there are few comparative studies of the impact of online evidence on clinicians' decision-making behaviour in routine clinic...

    Authors: Enrico Coiera, Farah Magrabi, Johanna I Westbrook, Michael R Kidd and Richard O Day

    Citation: BMC Medical Informatics and Decision Making 2006 6:33

    Content type: Study protocol

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  36. Although regulatory compliance in academic research is enforced by law to ensure high quality and safety to participants, its implementation is frequently hindered by cost and logistical barriers. In order to ...

    Authors: Ricardo Pietrobon, Anand Shah, Paul Kuo, Matthew Harker, Mariana McCready, Christeen Butler, Henrique Martins, CT Moorman and Danny O Jacobs

    Citation: BMC Medical Informatics and Decision Making 2006 6:32

    Content type: Software

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  37. Hospital-based clinicians have been shown to use and attain benefits from online evidence systems. To our knowledge there have been no studies investigating whether and how ambulance officers use online eviden...

    Authors: Johanna I Westbrook, Mary T Westbrook and A Sophie Gosling

    Citation: BMC Medical Informatics and Decision Making 2006 6:31

    Content type: Research article

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  38. The text descriptions in electronic medical records are a rich source of information. We have developed a Health Information Text Extraction (HITEx) tool and used it to extract key findings for a research stud...

    Authors: Qing T Zeng, Sergey Goryachev, Scott Weiss, Margarita Sordo, Shawn N Murphy and Ross Lazarus

    Citation: BMC Medical Informatics and Decision Making 2006 6:30

    Content type: Research article

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  39. Whereas an electronic medical record (EMR) system can partly address the limitations, of paper-based documentation, such as fragmentation of patient data, physical paper records missing and poor legibility, st...

    Authors: Sacha E Bleeker, Gerarda Derksen-Lubsen, Astrid M van Ginneken, Johan van der Lei and Henriëtte A Moll

    Citation: BMC Medical Informatics and Decision Making 2006 6:29

    Content type: Research article

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  40. Several models for prediction of acute coronary syndrome (ACS) among chest pain patients in the emergency department (ED) have been presented, but many models predict only the likelihood of acute myocardial in...

    Authors: Jonas Björk, Jakob L Forberg, Mattias Ohlsson, Lars Edenbrandt, Hans Öhlin and Ulf Ekelund

    Citation: BMC Medical Informatics and Decision Making 2006 6:28

    Content type: Research article

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  41. The analysis of large-scale gene expression data is a fundamental approach to functional genomics and the identification of potential drug targets. Results derived from such studies cannot be trusted unless th...

    Authors: Peyman Jafari and Francisco Azuaje

    Citation: BMC Medical Informatics and Decision Making 2006 6:27

    Content type: Research article

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  42. The Cancer Biomedical Informatics Grid (caBIG™) is a network of individuals and institutions, creating a world wide web of cancer research. An important aspect of this informatics effort is the development of ...

    Authors: Jonathan Tobias, Ram Chilukuri, George A Komatsoulis, Sambit Mohanty, Nicholas Sioutos, Denise B Warzel, Lawrence W Wright and Rebecca S Crowley

    Citation: BMC Medical Informatics and Decision Making 2006 6:25

    Content type: Research article

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