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Clinical decision-making, knowledge support systems, and theory’

Page 9 of 9

  1. Statistical models developed using administrative databases are powerful and inexpensive tools for predicting survival. Conversely, data abstraction from chart review is time-consuming and costly. Our aim was ...

    Authors: David Margel, David R Urbach, Lorraine L Lipscombe, Chaim M Bell, Girish Kulkarni, Jack Baniel, Neil Fleshner and Peter C Austin

    Citation: BMC Medical Informatics and Decision Making 2014 14:114

    Content type: Research article

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  2. Online cancer information can support patients in making treatment decisions. However, such information may not be adequately tailored to the patient’s perspective, particularly if healthcare professionals do ...

    Authors: Wendy Hopmans, Olga C Damman, Danielle RM Timmermans, Cornelis JA Haasbeek, Ben J Slotman and Suresh Senan

    Citation: BMC Medical Informatics and Decision Making 2014 14:116

    Content type: Research article

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  3. Practicing evidence-based medicine is an important aspect of providing good medical care. Accessing external information through literature searches on computer-based systems can effectively achieve integratio...

    Authors: Hendrik Friederichs, Bernhard Marschall and Anne Weissenstein

    Citation: BMC Medical Informatics and Decision Making 2014 14:113

    Content type: Research article

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  4. In a medical data set, data are commonly composed of a minority (positive or abnormal) group and a majority (negative or normal) group and the cost of misclassifying a minority sample as a majority sample is h...

    Authors: Xiang Wan, Jiming Liu, William K Cheung and Tiejun Tong

    Citation: BMC Medical Informatics and Decision Making 2014 14:111

    Content type: Research article

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  5. Breast cancer patients face several preference-sensitive treatment decisions. Feelings such as regret or having had inadequate information about these decisions can significantly alter patient perceptions of r...

    Authors: Ken Resnicow, Paul Abrahamse, Rachel S Tocco, Sarah Hawley, Jennifer Griggs, Nancy Janz, Angela Fagerlin, Adrienne Wilson, Kevin C Ward, Sheryl GA Gabram and Steven Katz

    Citation: BMC Medical Informatics and Decision Making 2014 14:110

    Content type: Research article

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  6. Cross-institutional cross-disciplinary collaboration has become a trend as researchers move toward building more productive and innovative teams for scientific research. Research collaboration is significantly...

    Authors: Jake Luo, Carolyn Apperson-Hansen, Clara M Pelfrey and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2014 14:106

    Content type: Software

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  7. Changes in daily habits can provide important information regarding the overall health status of an individual. This research aimed to determine how meaningful information may be extracted from limited sensor ...

    Authors: Joost de Folter, Hulya Gokalp, Joanna Fursse, Urvashi Sharma and Malcolm Clarke

    Citation: BMC Medical Informatics and Decision Making 2014 14:102

    Content type: Research article

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  8. Shared decision-making in rheumatoid arthritis (RA) care is a priority among policy makers, clinicians and patients both nationally and internationally. Demands on patients to have basic knowledge of RA, treat...

    Authors: Jennifer L Barton, Christopher J Koenig, Gina Evans-Young, Laura Trupin, Jennie Anderson, Dana Ragouzeos, Maggie Breslin, Timothy Morse, Dean Schillinger, Victor M Montori and Edward H Yelin

    Citation: BMC Medical Informatics and Decision Making 2014 14:104

    Content type: Research article

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  9. Although research suggests that patients prefer a shared decision making (SDM) experience when making healthcare decisions, clinicians do not routinely implement SDM into their practice and training programs a...

    Authors: Robert J Volk, Navkiran K Shokar, Viola B Leal, Robert J Bulik, Suzanne K Linder, Patricia Dolan Mullen, Richard M Wexler and Gurjeet S Shokar

    Citation: BMC Medical Informatics and Decision Making 2014 14:95

    Content type: Research article

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  10. Several single nucleotide polymorphisms (SNPs) at different loci have been associated with breast cancer susceptibility, accounting for around 10% of the familial component. Recent studies have found direct as...

    Authors: Mattia CF Prosperi, Sarah L Ingham, Anthony Howell, Fiona Lalloo, Iain E Buchan and Dafydd Gareth Evans

    Citation: BMC Medical Informatics and Decision Making 2014 14:87

    Content type: Research article

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  11. Physicians frequently differ in their treatment recommendations. However, few studies have examined the reasons underlying these differences. The objective of this study was to examine whether physicians vary ...

    Authors: Raluca Cozmuta, Peter A Merkel, Elizabeth Wahl and Liana Fraenkel

    Citation: BMC Medical Informatics and Decision Making 2014 14:86

    Content type: Research article

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  12. Adverse drug reactions and adverse drug events (ADEs) are major public health issues. Many different prospective tools for the automated detection of ADEs in hospital databases have been developed and evaluate...

    Authors: Grégoire Ficheur, Emmanuel Chazard, Jean-Baptiste Beuscart, Béatrice Merlin, Michel Luyckx and Régis Beuscart

    Citation: BMC Medical Informatics and Decision Making 2014 14:83

    Content type: Research article

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  13. Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the c...

    Authors: Zhuo Zhang, Ruchir Srivastava, Huiying Liu, Xiangyu Chen, Lixin Duan, Damon Wing Kee Wong, Chee Keong Kwoh, Tien Yin Wong and Jiang Liu

    Citation: BMC Medical Informatics and Decision Making 2014 14:80

    Content type: Research article

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  14. Clinical practice guidelines are useful for physicians, and guidelines are available on the Internet from various websites such as Vidal Recos. However, these guidelines are long and difficult to read, especia...

    Authors: Suzanne Pereira, Sylvain Hassler, Saliha Hamek, César Boog, Nicolas Leroy, Marie-Catherine Beuscart-Zéphir, Madeleine Favre, Alain Venot, Catherine Duclos and Jean-Baptiste Lamy

    Citation: BMC Medical Informatics and Decision Making 2014 14:77

    Content type: Research article

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  15. Various types of framing can influence risk perceptions, which may have an impact on treatment decisions and adherence. One way of framing is the use of verbal terms in communicating the probabilities of treat...

    Authors: Roland Brian Büchter, Dennis Fechtelpeter, Marco Knelangen, Martina Ehrlich and Andreas Waltering

    Citation: BMC Medical Informatics and Decision Making 2014 14:76

    Content type: Research article

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  16. The key aim of triage in chest pain patients is to identify those with high risk of adverse cardiac events as they require intensive monitoring and early intervention. In this study, we aim to discover the mos...

    Authors: Nan Liu, Zhi Xiong Koh, Junyang Goh, Zhiping Lin, Benjamin Haaland, Boon Ping Ting and Marcus Eng Hock Ong

    Citation: BMC Medical Informatics and Decision Making 2014 14:75

    Content type: Research article

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  17. Women diagnosed with early stage (I or II) breast cancer face a highly challenging decision – whether or not to undergo adjuvant chemotherapy. We developed a decision quality instrument for chemotherapy for ea...

    Authors: Clara N Lee, Matthew H Wetschler, Yuchiao Chang, Jeffrey K Belkora, Beverly Moy, Ann Partridge and Karen R Sepucha

    Citation: BMC Medical Informatics and Decision Making 2014 14:73

    Content type: Research article

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  18. Guidelines for colorectal cancer screening recommend that patients be informed about options and be able to select preferred method of screening; however, there are no existing measures available to assess whe...

    Authors: Karen R Sepucha, Sandra Feibelmann, Carol Cosenza, Carrie A Levin and Michael Pignone

    Citation: BMC Medical Informatics and Decision Making 2014 14:72

    Content type: Research article

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  19. Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an effici...

    Authors: Xavier Blanc, Tinh-Hai Collet, Reto Auer, Roland Fischer, Isabella Locatelli, Pablo Iriarte, Jan Krause, France Légaré and Jacques Cornuz

    Citation: BMC Medical Informatics and Decision Making 2014 14:71

    Content type: Research article

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  20. Errors in the decision-making process are probably the main threat to patient safety in the prehospital setting. The reason can be the change of focus in prehospital care from the traditional “scoop and run” p...

    Authors: Magnus Andersson Hagiwara, Björn-Ove Suserud, Boel Andersson-Gäre, Bengt- Arne Sjöqvist, Maria Henricson and Anders Jonsson

    Citation: BMC Medical Informatics and Decision Making 2014 14:70

    Content type: Research article

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  21. We aimed to evaluate the effect of a decision aid (DA) with information only compared to a DA with values clarification exercise (VCE), and to study the role of personality and information seeking style in DA-...

    Authors: Mirjam M Garvelink, Moniek M ter Kuile, Anne M Stiggelbout and Marieke de Vries

    Citation: BMC Medical Informatics and Decision Making 2014 14:68

    Content type: Research article

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  22. To estimate the amount of regret and weights of harm by omission and commission during therapeutic decisions for smear-negative pulmonary Tuberculosis.

    Authors: Chandrashekhar T Sreeramareddy, Mahbubur Rahman, HN Harsha Kumar, Mohsin Shah, Ahmed Manadir Hossain, Md Abu Sayem, Juan M Moreira and Jef Van den Ende

    Citation: BMC Medical Informatics and Decision Making 2014 14:67

    Content type: Research article

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  23. Virtual Patients are a well-known and widely used form of interactive software used to simulate aspects of patient care that students are increasingly less likely to encounter during their studies. However, to...

    Authors: Marcus D Bloice, Klaus-Martin Simonic and Andreas Holzinger

    Citation: BMC Medical Informatics and Decision Making 2014 14:66

    Content type: Software

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  24. Readmissions after hospital discharge are a common occurrence and are costly for both hospitals and patients. Previous attempts to create universal risk prediction models for readmission have not met with succ...

    Authors: Courtney Hebert, Chaitanya Shivade, Randi Foraker, Jared Wasserman, Caryn Roth, Hagop Mekhjian, Stanley Lemeshow and Peter Embi

    Citation: BMC Medical Informatics and Decision Making 2014 14:65

    Content type: Research article

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  25. Finding quality consumer health information online can effectively bring important public health benefits to the general population. It can empower people with timely and current knowledge for managing their h...

    Authors: Licong Cui, Rong Xu, Zhihui Luo, Susan Wentz, Kyle Scarberry and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2014 14:63

    Content type: Research article

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  26. This paper presents the design, development and first evaluation of an algorithm, named Intelligent Therapy Assistant (ITA), which automatically selects, configures and schedules rehabilitation tasks for patie...

    Authors: Javier Solana, César Cáceres, Alberto García-Molina, Paloma Chausa, Eloy Opisso, Teresa Roig-Rovira, Ernestina Menasalvas, José M Tormos-Muñoz and Enrique J Gómez

    Citation: BMC Medical Informatics and Decision Making 2014 14:58

    Content type: Research article

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  27. A cloud-based clinical decision support system (CDSS) was implemented to remotely provide evidence-based guideline reminders in support of preventative health. Following implementation, we measured the agreeme...

    Authors: Brian Edward Dixon, Linas Simonaitis, Susan M Perkins, Adam Wright and Blackford Middleton

    Citation: BMC Medical Informatics and Decision Making 2014 14:31

    Content type: Research article

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  28. Identification of potentially preventable readmissions is typically accomplished through manual review or automated classification. Little is known about the concordance of these methods.

    Authors: Ana H Jackson, Emily Fireman, Paul Feigenbaum, Estee Neuwirth, Patricia Kipnis and Jim Bellows

    Citation: BMC Medical Informatics and Decision Making 2014 14:28

    Content type: Research article

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  29. Patients are increasingly expected and asked to be involved in health care decisions. In this decision-making process, preferences for participation are important. In this systematic review we aim to provide a...

    Authors: Linda Brom, Wendy Hopmans, H Roeline W Pasman, Danielle RM Timmermans, Guy AM Widdershoven and Bregje D Onwuteaka-Philipsen

    Citation: BMC Medical Informatics and Decision Making 2014 14:25

    Content type: Research article

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  30. Ensuring that all cancer patients have access to the appropriate treatment within an appropriate time is a strategic priority in many countries. There is in particular a need to describe and analyse cancer car...

    Authors: Gautier Defossez, Alexandre Rollet, Olivier Dameron and Pierre Ingrand

    Citation: BMC Medical Informatics and Decision Making 2014 14:24

    Content type: Research article

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  31. Clinical decision support (CDS) has been shown to be effective in improving medical safety and quality but there is little information on how telephone triage benefits from CDS. The aim of our study was to com...

    Authors: Frederick North, Debra D Richards, Kimberly A Bremseth, Mary R Lee, Debra L Cox, Prathibha Varkey and Robert J Stroebel

    Citation: BMC Medical Informatics and Decision Making 2014 14:20

    Content type: Research article

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  32. An increasing number of older adults drive automobiles. Given that the prevalence of dementia is rising, it is necessary to address the issue of driving retirement. The purpose of this study is to evaluate how...

    Authors: John Carmody, Jan Potter, Kate Lewis, Sanjay Bhargava, Victoria Traynor and Don Iverson

    Citation: BMC Medical Informatics and Decision Making 2014 14:19

    Content type: Research article

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  33. Decision aids offer promise as a practical solution to improve patient decision making about coronary heart disease (CHD) prevention medications and help patients choose medications to which they are likely to...

    Authors: Stacey L Sheridan, Lindy B Draeger, Michael P Pignone, Barbara Rimer, Shrikant I Bangdiwala, Jianwen Cai, Ziya Gizlice, Thomas C Keyserling and Ross J Simpson Jr

    Citation: BMC Medical Informatics and Decision Making 2014 14:14

    Content type: Research article

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  34. We describe the results of cognitive interviews to refine the “Making Choices©” Decision Aid (DA) for shared decision-making (SDM) about stress testing in patients with stable coronary artery disease (CAD).

    Authors: Karen Kelly-Blake, Stacie Clark, Katherine Dontje, Adesuwa Olomu, Rebecca C Henry, David R Rovner, Marilyn L Rothert and Margaret Holmes-Rovner

    Citation: BMC Medical Informatics and Decision Making 2014 14:10

    Content type: Research article

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  35. Interactive multimedia is an emerging technology that is being used to facilitate interactions between patients and health professionals. The purpose of this review was to identify and evaluate the impact of m...

    Authors: Carol Raaff, Cris Glazebrook and Heather Wharrad

    Citation: BMC Medical Informatics and Decision Making 2014 14:8

    Content type: Research article

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  36. Breast cancer risk reduction has the potential to decrease the incidence of the disease, yet remains underused. We report on the development a web-based tool that provides automated risk assessment and persona...

    Authors: Elissa M Ozanne, Rebecca Howe, Zehra Omer and Laura J Esserman

    Citation: BMC Medical Informatics and Decision Making 2014 14:4

    Content type: Research article

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  37. Choosing the correct ventilator settings for the treatment of patients with respiratory tract disease is quite an important issue. Since the task of specifying the parameters of ventilation equipment is entire...

    Authors: Fatma Patlar Akbulut, Erkan Akkur, Aydin Akan and B Siddik Yarman

    Citation: BMC Medical Informatics and Decision Making 2014 14:3

    Content type: Research article

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  38. Assessing the accuracy of influenza epidemic periods determined by statistical models is important to improve the performance of algorithms used in real-time syndromic surveillance systems. This is a difficult...

    Authors: Marion Debin, Cécile Souty, Clément Turbelin, Thierry Blanchon, Pierre-Yves Boëlle, Thomas Hanslik, Gilles Hejblum, Yann Le Strat, Flavien Quintus and Alessandra Falchi

    Citation: BMC Medical Informatics and Decision Making 2013 13:138

    Content type: Research article

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  39. 'An ounce of prevention is worth a pound of cure’ is a common saying, and indeed, most health economic studies conclude that people are more willing to pay for preventive measures than for treatment activities...

    Authors: Ree M Meertens, Vivian MJ Van de Gaar, Maitta Spronken and Nanne K de Vries

    Citation: BMC Medical Informatics and Decision Making 2013 13:136

    Content type: Research article

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  40. Healthcare costs are increasing rapidly and at an unsustainable rate in many countries, and inpatient hospitalizations are a significant driver of these costs. Clinical decision support (CDS) represents a prom...

    Authors: Christopher L Fillmore, Bruce E Bray and Kensaku Kawamoto

    Citation: BMC Medical Informatics and Decision Making 2013 13:135

    Content type: Research article

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  41. Decision aids are evidence-based tools designed to inform people of the potential benefit and harm of treatment options, clarify their preferences and provide a shared decision-making structure for discussion ...

    Authors: Linda C Li, Paul M Adam, Anne F Townsend, Diane Lacaille, Charlene Yousefi, Dawn Stacey, Diane Gromala, Chris D Shaw, Peter Tugwell and Catherine L Backman

    Citation: BMC Medical Informatics and Decision Making 2013 13:131

    Content type: Research article

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  42. Authors: Jamie J Coleman, Heleen van der Sijs, Walter E Haefeli, Sarah P Slight, Sarah E McDowell, Hanna M Seidling, Birgit Eiermann, Jos Aarts, Elske Ammenwerth, Ann Slee and Robin E Ferner

    Citation: BMC Medical Informatics and Decision Making 2013 13:122

    Content type: Erratum

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    The original article was published in BMC Medical Informatics and Decision Making 2013 13:111