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Clinical decision-making, knowledge support systems, and theory

Section edited by Paul Taylor

This section aims to publish studies on the development, implementation and evaluation of clinical decision support systems. The section also accepts articles on the theoretical support of clinical decision-making (including shared-decision making), decision analysis, and decision aids.

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  1. No automated methods exist to objectively monitor and evaluate the diagnostic process while physicians review computerized medical images. The present study tested whether using eye tracking to monitor tonic a...

    Authors: Tad T. Brunyé, Marianna D. Eddy, Ezgi Mercan, Kimberly H. Allison, Donald L. Weaver and Joann G. Elmore

    Citation: BMC Medical Informatics and Decision Making 2016 16:77

    Content type: Research article

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  2. Universal human immunodeficiency virus (HIV) screening remains low in many clinical practices despite published guidelines recommending screening for all patients between ages 13–65. Electronic clinical decisi...

    Authors: Jasmine R. Marcelin, Eugene M. Tan, Alberto Marcelin, Marianne Scheitel, Praveen Ramu, Ronald Hankey, Pritesh Keniya, Majken Wingo, Stacey A. Rizza, Frederick North and Rajeev Chaudhry

    Citation: BMC Medical Informatics and Decision Making 2016 16:76

    Content type: Research article

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  3. Eye tracking is commonly used in marketing to understand complex responses to materials, but has not been used to understand how low-literacy adults access health information or its relationship to decision ma...

    Authors: Sarah Bauerle Bass, Thomas F. Gordon, Ryan Gordon and Claudia Parvanta

    Citation: BMC Medical Informatics and Decision Making 2016 16:67

    Content type: Research article

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  4. Shared decision-making (SDM) is considered a key component of high quality cancer care and may be supported by patient decision aids (PtDAs). Many patients, however, face multiple social disadvantages that may...

    Authors: Kimberly R. Enard, Patricia Dolan Mullen, Geetanjali R. Kamath, Nickell M. Dixon and Robert J. Volk

    Citation: BMC Medical Informatics and Decision Making 2016 16:64

    Content type: Research article

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  5. Vital sign data are important for clinical decision making in emergency care. Clinical Decision Support Systems (CDSS) have been advocated to increase patient safety and quality of care. However, the efficienc...

    Authors: Niclas Skyttberg, Joana Vicente, Rong Chen, Hans Blomqvist and Sabine Koch

    Citation: BMC Medical Informatics and Decision Making 2016 16:61

    Content type: Research article

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  6. Several models have been proposed to predict the short-term outcome of acute-on-chronic liver failure (ACLF) after treatment. We aimed to determine whether better decisions for artificial liver support system ...

    Authors: Gang Qin, Zhao-Lian Bian, Yi Shen, Lei Zhang, Xiao-Hong Zhu, Yan-Mei Liu and Jian-Guo Shao

    Citation: BMC Medical Informatics and Decision Making 2016 16:59

    Content type: Research article

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  7. PubMed is a widely used database for scientists to find biomedical-related literature. Due to the complexity of the selected research subject and its interdisciplinary nature, as well as the exponential growth...

    Authors: Yan Su, James Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon and Ping Xu

    Citation: BMC Medical Informatics and Decision Making 2016 16:54

    Content type: Research article

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  8. While, lost to follow-up (LTFU) from antiretroviral therapy (ART) can be considered a catch-all category for patients who miss scheduled visits or medication pick-ups, operational definitions and methods for d...

    Authors: Beth Rachlis, Donald C. Cole, Monique van Lettow and Michael Escobar

    Citation: BMC Medical Informatics and Decision Making 2016 16:52

    Content type: Research article

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  9. Privacy must be protected when sensitive biomedical data is shared, e.g. for research purposes. Data de-identification is an important safeguard, where datasets are transformed to meet two conflicting objectiv...

    Authors: Fabian Prasser, Florian Kohlmayer and Klaus A. Kuhn

    Citation: BMC Medical Informatics and Decision Making 2016 16:49

    Content type: TECHNICAL ADVANCE

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  10. Decision aids have been overall successful in improving the quality of health decision making. However, it is unclear whether the impact of the results of using decision aids also apply to older people (aged 6...

    Authors: Julia C. M. van Weert, Barbara C. van Munster, Remco Sanders, René Spijker, Lotty Hooft and Jesse Jansen

    Citation: BMC Medical Informatics and Decision Making 2016 16:45

    Content type: Research article

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  11. Acute Kidney Injury (AKI) occurs in at least 5 % of hospitalized patients and can result in 40–70 % morbidity and mortality. Even following recovery, many subjects may experience progressive deterioration of r...

    Authors: Rohit J. Kate, Ruth M. Perez, Debesh Mazumdar, Kalyan S. Pasupathy and Vani Nilakantan

    Citation: BMC Medical Informatics and Decision Making 2016 16:39

    Content type: Research article

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  12. There is evidence to suggest that decision aids improve a number of patient outcomes. However, little is known about the progression of research effort in this area over time. This literature review examined t...

    Authors: Anne Herrmann, Elise Mansfield, Alix E. Hall, Rob Sanson-Fisher and Nicholas Zdenkowski

    Citation: BMC Medical Informatics and Decision Making 2016 16:36

    Content type: Research article

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  13. Adherence to guidelines for the treatment of hospitalized elderly patients with community-acquired pneumonia (CAP) has been associated with improved clinical outcomes. This study evaluated the cost-effectivene...

    Authors: Michael E. Egger, John A. Myers, Forest W. Arnold, Leigh Ann Pass, Julio A. Ramirez and Guy N. Brock

    Citation: BMC Medical Informatics and Decision Making 2016 16:34

    Content type: Research article

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  14. Most studies of epidemic detection focus on their start and rarely on the whole signal or the end of the epidemic. In some cases, it may be necessary to retrospectively identify outbreak signals from surveilla...

    Authors: Gaëtan Texier, Magnim Farouh, Liliane Pellegrin, Michael L. Jackson, Jean-Baptiste Meynard, Xavier Deparis and Hervé Chaudet

    Citation: BMC Medical Informatics and Decision Making 2016 16:33

    Content type: Research article

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  15. Diagnosis of neuromuscular diseases in primary care is often challenging. Rare diseases such as Pompe disease are easily overlooked by the general practitioner. We therefore aimed to develop a diagnostic suppo...

    Authors: Lorenz Grigull, Werner Lechner, Susanne Petri, Katja Kollewe, Reinhard Dengler, Sandra Mehmecke, Ulrike Schumacher, Thomas Lücke, Christiane Schneider-Gold, Cornelia Köhler, Anne-Katrin Güttsches, Xiaowei Kortum and Frank Klawonn

    Citation: BMC Medical Informatics and Decision Making 2016 16:31

    Content type: Research article

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  16. The accumulation of medical documents in China has rapidly increased in the past years. We focus on developing a method that automatically performs ICD-10 code assignment to Chinese diagnoses from the electron...

    Authors: Wenxin Ning, Ming Yu and Runtong Zhang

    Citation: BMC Medical Informatics and Decision Making 2016 16:30

    Content type: Research article

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  17. The American Society of Anesthesiologists Physical Status classification (ASA PS) of surgical patients is a standard element of the preoperative assessment. In early 2013, the Department of Anesthesia was noti...

    Authors: Anil A. Marian, Emine O. Bayman, Anita Gillett, Brent Hadder and Michael M. Todd

    Citation: BMC Medical Informatics and Decision Making 2016 16:29

    Content type: Research article

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  18. To address challenges related to selecting a valid, reliable, and appropriate readiness assessment measure in practice, we developed an online decision support tool to aid frontline implementers in healthcare ...

    Authors: Caitlyn Timmings, Sobia Khan, Julia E. Moore, Christine Marquez, Kasha Pyka and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2016 16:24

    Content type: Research article

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  19. Developments in chemotherapy have led to changes in cancer care in Japan, with the government promoting a transition to outpatient chemotherapy. This requires patients and their families to participate more ac...

    Authors: Taichi Hatta, Keiichi Narita, Kazuhiro Yanagihara, Hiroshi Ishiguro, Toshinori Murayama and Masayuki Yokode

    Citation: BMC Medical Informatics and Decision Making 2016 16:22

    Content type: Research article

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    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2016 16:28

  20. The provision of additional information is often assumed to improve consumption decisions, allowing consumers to more accurately weigh the costs and benefits of alternatives. However, increasing the complexity...

    Authors: Jean Spinks and Duncan Mortimer

    Citation: BMC Medical Informatics and Decision Making 2016 16:14

    Content type: Research article

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  21. Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer and the most difficult to predict. When there are no distant metastases, the optimal therapy depends mainly on whether there are mal...

    Authors: Manuel Luque, Francisco Javier Díez and Carlos Disdier

    Citation: BMC Medical Informatics and Decision Making 2016 16:9

    Content type: Research Article

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  22. Nurses’ risk assessments of patients at risk of deterioration are sometimes suboptimal. Advances in clinical simulation mean higher quality information can be used as an alternative to traditional paper-based ...

    Authors: Huiqin Yang and Carl Thompson

    Citation: BMC Medical Informatics and Decision Making 2016 16:7

    Content type: Research article

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  23. Although a number of studies have evaluated the effectiveness of computerized decision-support systems (CDSS), there is lack of data on user perspectives, barriers, and facilitators to the implementation of CD...

    Authors: Tuomas Koskela, Saana Sandström, Joonas Mäkinen and Helena Liira

    Citation: BMC Medical Informatics and Decision Making 2016 16:6

    Content type: Research article

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  24. With the widespread use of information communication technologies, computerized clinical practice guidelines are developed and considered as effective decision supporting tools in assisting the processes of cl...

    Authors: Ju-Ling Hsiao and Rai-Fu Chen

    Citation: BMC Medical Informatics and Decision Making 2016 16:3

    Content type: Research article

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  25. Follicular lymphoma (FL) is one of the most common lymphoid malignancies in the western world. FL cases are stratified into three histological grades based on the average centroblast count per high power field...

    Authors: Mohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, Weijie Chen, Arwa Shana’ah, Jessica Hemminger, Alejandro Gru, Habibe Kurt, Michael Losos, Amy Joehlin-Price, Christina Kavran, Stephen M. Smith, Nicholas Nowacki, Sharmeen Mansor, Gerard Lozanski and Metin N. Gurcan

    Citation: BMC Medical Informatics and Decision Making 2015 15:115

    Content type: Research article

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  26. The Analytic Hierarchy Process (AHP), developed by Saaty in the late 1970s, is one of the methods for multi-criteria decision making. The AHP disaggregates a complex decision problem into different hierarchica...

    Authors: Katharina Schmidt, Ines Aumann, Ines Hollander, Kathrin Damm and J.-Matthias Graf von der Schulenburg

    Citation: BMC Medical Informatics and Decision Making 2015 15:112

    Content type: Research article

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  27. Assessment and management of pain in patients with dementia is known to be challenging, due to patients’ cognitive and/or communication difficulties. In the UK, pain in hospital is managed through regular asse...

    Authors: Valentina Lichtner, Dawn Dowding and S. José Closs

    Citation: BMC Medical Informatics and Decision Making 2015 15:111

    Content type: Research article

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  28. The Patient Activation Measure (PAM13) is an instrument that assesses patient knowledge, skills, and confidence for disease self-management. This cross-sectional study was aimed to validate a culturally-adapte...

    Authors: Guendalina Graffigna, Serena Barello, Andrea Bonanomi, Edoardo Lozza and Judith Hibbard

    Citation: BMC Medical Informatics and Decision Making 2015 15:109

    Content type: Research article

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  29. Quantitative electroencephalogram (EEG) is one neuroimaging technique that has been shown to differentiate patients with major depressive disorder (MDD) and non-depressed healthy volunteers (HV) at the group-l...

    Authors: Mahdi Mohammadi, Fadwa Al-Azab, Bijan Raahemi, Gregory Richards, Natalia Jaworska, Dylan Smith, Sara de la Salle, Pierre Blier and Verner Knott

    Citation: BMC Medical Informatics and Decision Making 2015 15:108

    Content type: Research article

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  30. The use of intravenous thrombolysis for stroke is limited by contraindications that may be difficult to identify promptly and accurately. Evidence supports the use of information technology-based clinical deci...

    Authors: Mu-Chien Sun and Jo-Ann Chan

    Citation: BMC Medical Informatics and Decision Making 2015 15:105

    Content type: Research article

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  31. 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

    Content type: Research article

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  32. 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

    Content type: Research article

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  33. 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

    Content type: Research article

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  34. 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

    Content type: Research article

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  35. 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

    Content type: Research article

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

  36. 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

    Content type: Research article

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  37. 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

    Content type: Research article

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  38. 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

    Content type: Research article

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  39. 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

    Content type: Research article

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  40. 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

    Content type: Research article

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  41. 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

    Content type: Research article

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

  42. 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

    Content type: Research article

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

  43. 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

    Content type: Research article

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  44. 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

    Content type: Research article

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  45. 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

    Content type: Research article

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  46. 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

    Content type: Research article

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  47. 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

    Content type: Research article

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  48. 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

    Content type: Research article

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