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  1. The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge f...

    Authors: François Séverac, Erik A Sauleau, Nicolas Meyer, Hassina Lefèvre, Gabriel Nisand and Nicolas Jay
    Citation: BMC Medical Informatics and Decision Making 2015 15:29
  2. Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP)...

    Authors: Yizhao Ni, Jordan Wright, John Perentesis, Todd Lingren, Louise Deleger, Megan Kaiser, Isaac Kohane and Imre Solti
    Citation: BMC Medical Informatics and Decision Making 2015 15:28
  3. Numerous calls have been made for greater assimilation of information technology in healthcare organizations in general, and in primary care settings in particular. Considering the levels of IT investment and ...

    Authors: Louis Raymond, Guy Paré, Ana Ortiz de Guinea, Placide Poba-Nzaou, Marie-Claude Trudel, Josianne Marsan and Thomas Micheneau
    Citation: BMC Medical Informatics and Decision Making 2015 15:27
  4. Despite the potential for electronic health records (EHRs) to improve patient safety and quality of care, the intended benefits of EHRs are not always realized because of implementation-related challenges. Enl...

    Authors: Christina T Yuan, Elizabeth H Bradley and Ingrid M Nembhard
    Citation: BMC Medical Informatics and Decision Making 2015 15:26
  5. In Australia, bowel cancer screening participation using faecal occult blood testing (FOBT) is low. Decision support tailored to psychological predictors of participation may increase screening. The study comp...

    Authors: Carlene J Wilson, Ingrid HK Flight, Deborah Turnbull, Tess Gregory, Stephen R Cole, Graeme P Young and Ian T Zajac
    Citation: BMC Medical Informatics and Decision Making 2015 15:25
  6. Patient empowerment is crucial in the successful self-management of people with chronic diseases. In this study, we investigated whether discussions about medicine use taking place on online message boards con...

    Authors: Jasper J van Berkel, Mattijs S Lambooij and Ingrid Hegger
    Citation: BMC Medical Informatics and Decision Making 2015 15:24
  7. Chlamydia is the most common reportable sexually transmitted disease (STD) in Norway, and its incidence in the two northernmost counties has been disclosed to be nearly the double of the Norwegian average. The...

    Authors: Elia Gabarron, J Artur Serrano, Luis Fernandez-Luque, Rolf Wynn and Thomas Schopf
    Citation: BMC Medical Informatics and Decision Making 2015 15:23
  8. Readmission rates for patients with heart failure (HF) remain high. Many efforts to identify patients at high risk for readmission focus on patient demographics or on measures taken in the hospital. We evaluat...

    Authors: Shelby Inouye, Vasileios Bouras, Eric Shouldis, Adam Johnstone, Zachary Silverzweig and Pallav Kosuri
    Citation: BMC Medical Informatics and Decision Making 2015 15:22
  9. Databases of prescription drug purchases are now widely used in pharmacoepidemiologic studies. Several methods have been used to generate drug use periods from drug purchases to investigate various aspects; e....

    Authors: Antti Tanskanen, Heidi Taipale, Marjaana Koponen, Anna-Maija Tolppanen, Sirpa Hartikainen, Riitta Ahonen and Jari Tiihonen
    Citation: BMC Medical Informatics and Decision Making 2015 15:21
  10. Patients with no history of stroke but with stenosis of the carotid arteries can reduce the risk of future stroke with surgery or stenting. At present, a physicians’ ability to recommend optimal treatments bas...

    Authors: Adrienne E Faerber, Rebecca Horvath, Carey Stillman, Melissa L O’Connell, Amy L Hamilton, Karina A Newhall, Donald S Likosky and Philip P Goodney
    Citation: BMC Medical Informatics and Decision Making 2015 15:20
  11. Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical ...

    Authors: Bastian M Seidel, Steven Campbell and Erica Bell
    Citation: BMC Medical Informatics and Decision Making 2015 15:19
  12. Diabetes education together with patient empowerment has shown to be key to effective self-management behavior. When delivered through information and communication technologies (ICT), this solution has shown ...

    Authors: Sarah Mantwill, Maddalena Fiordelli, Ramona Ludolph and Peter J Schulz
    Citation: BMC Medical Informatics and Decision Making 2015 15:18
  13. Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of develop...

    Authors: Lena Griebel, Hans-Ulrich Prokosch, Felix Köpcke, Dennis Toddenroth, Jan Christoph, Ines Leb, Igor Engel and Martin Sedlmayr
    Citation: BMC Medical Informatics and Decision Making 2015 15:17
  14. Adverse drug reactions are one of the most common causes of death in industrialized Western countries. Nowadays, empirical data from clinical studies for the approval and monitoring of drugs and molecular data...

    Authors: Alban Shoshi, Tobias Hoppe, Benjamin Kormeier, Venus Ogultarhan and Ralf Hofestädt
    Citation: BMC Medical Informatics and Decision Making 2015 15:15
  15. Dietary assessment can be challenging for many reasons, including the wide variety of foods, eating patterns and nutrients to be considered. In team-based primary care practice, various disciplines may be invo...

    Authors: Carolina Bonilla, Paula Brauer, Dawna Royall, Heather Keller, Rhona M Hanning and Alba DiCenso
    Citation: BMC Medical Informatics and Decision Making 2015 15:14
  16. Decision boxes (DBoxes) are two-page evidence summaries to prepare clinicians for shared decision making (SDM). We sought to assess the feasibility of a clustered Randomized Controlled Trial (RCT) to evaluate ...

    Authors: Anik MC Giguere, Michel Labrecque, France Légaré, Roland Grad, Michel Cauchon, Matthew Greenway, R Brian Haynes, Pierre Pluye, Iqra Syed, Debi Banerjee, Pierre-Hugues Carmichael and Mélanie Martin
    Citation: BMC Medical Informatics and Decision Making 2015 15:13
  17. Every year, hundreds of thousands of patients experience treatment failure or adverse drug reactions (ADRs), many of which could be prevented by pharmacogenomic testing. However, the primary knowledge needed f...

    Authors: Matthias Samwald, Jose Antonio Miñarro Giménez, Richard D Boyce, Robert R Freimuth, Klaus-Peter Adlassnig and Michel Dumontier
    Citation: BMC Medical Informatics and Decision Making 2015 15:12
  18. This case study over time describes five years of experience with interventions to improve laboratory test utilization at an academic medical center. The high-frequency laboratory tests showing the biggest dec...

    Authors: Matthew D Krasowski, Deborah Chudzik, Anna Dolezal, Bryan Steussy, Michael P Gailey, Benjamin Koch, Sara B Kilborn, Benjamin W Darbro, Carolyn D Rysgaard and Julia A Klesney-Tait
    Citation: BMC Medical Informatics and Decision Making 2015 15:11
  19. Multi-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is nec...

    Authors: Yuan Wu, Xiaoqian Jiang, Shuang Wang, Wenchao Jiang, Pinghao Li and Lucila Ohno-Machado
    Citation: BMC Medical Informatics and Decision Making 2015 15:10
  20. Percutaneous coronary intervention (PCI) is the most commonly performed treatment for coronary atherosclerosis. It is associated with a higher incidence of repeat revascularization procedures compared to coron...

    Authors: Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic and Ali Kamen
    Citation: BMC Medical Informatics and Decision Making 2015 15:9
  21. Real-world data on the benefit/risk profile of medicines is needed, particularly in patients who are ineligible for randomised controlled trials conducted for registration purposes. This paper describes the me...

    Authors: Hanaa F Elkhenini, Kourtney J Davis, Norman D Stein, John P New, Mark R Delderfield, Martin Gibson, Jorgen Vestbo, Ashley Woodcock and Nawar Diar Bakerly
    Citation: BMC Medical Informatics and Decision Making 2015 15:8
  22. Warfarin is the most widely prescribed anticoagulant for the prevention and treatment of thromboembolic events. Although highly effective, the use of warfarin is limited by a narrow therapeutic range combined ...

    Authors: Anna-Karin Hamberg, Jacob Hellman, Jonny Dahlberg, E Niclas Jonsson and Mia Wadelius
    Citation: BMC Medical Informatics and Decision Making 2015 15:7
  23. Thrombolytic treatment for acute ischaemic stroke improves prognosis, although there is a risk of bleeding complications leading to early death/severe disability. Benefit from thrombolysis is time dependent an...

    Authors: Darren Flynn, Daniel J Nesbitt, Gary A Ford, Peter McMeekin, Helen Rodgers, Christopher Price, Christian Kray and Richard G Thomson
    Citation: BMC Medical Informatics and Decision Making 2015 15:6
  24. Although children can benefit from being included in health decisions, little is known about effective interventions to support their involvement. The objective of this study was to evaluate the feasibility an...

    Authors: Bryan Feenstra, Margaret L Lawson, Denise Harrison, Laura Boland and Dawn Stacey
    Citation: BMC Medical Informatics and Decision Making 2015 15:5
  25. With respect to information management, most of the previous studies on the acceptance of healthcare information technologies were analyzed from “positive” perspectives. However, such acceptance is always infl...

    Authors: Chung-Feng Liu and Tain-Junn Cheng
    Citation: BMC Medical Informatics and Decision Making 2015 15:4
  26. An essential element in the treatment of patients with chronic obstructive pulmonary disease (COPD) is rehabilitation, of which supervised training is an important part. However, not all individuals with sever...

    Authors: Lisbeth Rosenbek Minet, Line Willads Hansen, Claus Duedal Pedersen, Ingrid Louise Titlestad, Jette Krøjgaard Christensen, Kristian Kidholm, Kathrine Rayce, Alison Bowes and Lilian Møllegård
    Citation: BMC Medical Informatics and Decision Making 2015 15:3
  27. Shared decision making (SDM) may narrow health equity gaps experienced by Aboriginal women. SDM tools such as patient decision aids can facilitate SDM between the client and health care providers; SDM tools fo...

    Authors: Janet Jull, Audrey Giles, Yvonne Boyer and Dawn Stacey
    Citation: BMC Medical Informatics and Decision Making 2015 15:1
  28. Need for cognitive closure (NFCC) has been shown to be a consistent and measurable trait. It has effects on decision making and has been associated with more rapid decision making, higher reliance on heuristic...

    Authors: Greta B Raglan, Maxim Babush, Victoria A Farrow, Arie W Kruglanski and Jay Schulkin
    Citation: BMC Medical Informatics and Decision Making 2014 14:122
  29. Significant resources are invested in the production of research knowledge with the ultimate objective of integrating research evidence into practice. Toolkits are becoming increasingly popular as a knowledge ...

    Authors: Raluca Barac, Sherry Stein, Beth Bruce and Melanie Barwick
    Citation: BMC Medical Informatics and Decision Making 2014 14:121
  30. The aim of this study was to evaluate the perceived influence of telehealth on recruitment and retention of healthcare professionals in remote areas in Mali.

    Authors: Cheick-Oumar Bagayoko, Marie-Pierre Gagnon, Diakaridia Traoré, Abdrahamane Anne, Abdel Kader Traoré and Antoine Geissbuhler
    Citation: BMC Medical Informatics and Decision Making 2014 14:120
  31. For disease surveillance, manual data collection using paper-based questionnaires can be time consuming and prone to errors. We introduced smartphone data collection to replace paper-based data collection for ...

    Authors: Henry N Njuguna, Deborah L Caselton, Geoffrey O Arunga, Gideon O Emukule, Dennis K Kinyanjui, Rosalia M Kalani, Carl Kinkade, Phillip M Muthoka, Mark A Katz and Joshua A Mott
    Citation: BMC Medical Informatics and Decision Making 2014 14:107
  32. The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is...

    Authors: Raj Gururajan and Abdul Hafeez-Baig
    Citation: BMC Medical Informatics and Decision Making 2014 14:98
  33. Patient data from general practices is already used for many types of epidemiological research and increasingly, primary care systems to facilitate randomized clinical trials. The EU funded project TRANSFoRm a...

    Authors: Wolfgang Kuchinke, Töresin Karakoyun, Christian Ohmann, Theodoros N Arvanitis, Adel Taweel, Brendan C Delaney and Stuart M Speedie
    Citation: BMC Medical Informatics and Decision Making 2014 14:118
  34. Meaningful Use (MU) provides financial incentives for electronic health record (EHR) implementation. EHR implementation holds promise for improving healthcare delivery, but also requires substantial changes fo...

    Authors: Christopher M Shea, Kristin L Reiter, Mark A Weaver, Molly McIntyre, Jason Mose, Jonathan Thornhill, Robb Malone and Bryan J Weiner
    Citation: BMC Medical Informatics and Decision Making 2014 14:119
  35. Management of diabetes mellitus is complex and involves controlling multiple risk factors that may lead to complications. Given that patients provide most of their own diabetes care, patient self-management tr...

    Authors: Catherine H Yu, Janet A Parsons, Muhammad Mamdani, Gerald Lebovic, Susan Hall, David Newton, Baiju R Shah, Onil Bhattacharyya, Andreas Laupacis and Sharon E Straus
    Citation: BMC Medical Informatics and Decision Making 2014 14:117
  36. Electronic medical record systems are being implemented in many countries to support healthcare services. However, its adoption rate remains low, especially in developing countries due to technological, financ...

    Authors: Senafekesh Biruk, Tesfahun Yilma, Mulusew Andualem and Binyam Tilahun
    Citation: BMC Medical Informatics and Decision Making 2014 14:115
  37. 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
  38. Over 100 trials show that patient decision aids effectively improve patients’ information comprehension and values-based decision making. However, gaps remain in our understanding of several fundamental and ap...

    Authors: Aubri S Hoffman, Hilary A Llewellyn-Thomas, Anna N A Tosteson, Annette M O’Connor, Robert J Volk, Ivan M Tomek, Steven B Andrews and Stephen J Bartels
    Citation: BMC Medical Informatics and Decision Making 2014 14:112
  39. In response to the growing interest in genome-wide association study (GWAS) data privacy, the Integrating Data for Analysis, Anonymization and SHaring (iDASH) center organized the iDASH Healthcare Privacy Protect...

    Authors: Fei Yu and Zhanglong Ji
    Citation: BMC Medical Informatics and Decision Making 2014 14(Suppl 1):S3

    This article is part of a Supplement: Volume 14 Supplement 1

  40. Advanced sequencing techniques make large genome data available at an unprecedented speed and reduced cost. Genome data sharing has the potential to facilitate significant medical breakthroughs. However, priva...

    Authors: Shuang Wang, Noman Mohammed and Rui Chen
    Citation: BMC Medical Informatics and Decision Making 2014 14(Suppl 1):S2

    This article is part of a Supplement: Volume 14 Supplement 1

  41. To answer the need for the rigorous protection of biomedical data, we organized the Critical Assessment of Data Privacy and Protection initiative as a community effort to evaluate privacy-preserving disseminat...

    Authors: Xiaoqian Jiang, Yongan Zhao, Xiaofeng Wang, Bradley Malin, Shuang Wang, Lucila Ohno-Machado and Haixu Tang
    Citation: BMC Medical Informatics and Decision Making 2014 14(Suppl 1):S1

    This article is part of a Supplement: Volume 14 Supplement 1

  42. 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
  43. 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
  44. 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
  45. 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
  46. For researchers and public health agencies, the complexity of high–dimensional spatio–temporal data in surveillance for large reporting networks presents numerous challenges, which include low signal–to–noise ...

    Authors: Jian Zou, Alan F Karr, Gauri Datta, James Lynch and Shaun Grannis
    Citation: BMC Medical Informatics and Decision Making 2014 14:108
  47. Early recognition of severe sepsis and septic shock is challenging. The aim of this study was to determine the diagnostic accuracy of an electronic alert system in detecting severe sepsis or septic shock among...

    Authors: Sami Alsolamy, Majid Al Salamah, Majed Al Thagafi, Hasan M Al-Dorzi, Abdellatif M Marini, Nawfal Aljerian, Farhan Al-Enezi, Fatimah Al-Hunaidi, Ahmed M Mahmoud, Ahmed Alamry and Yaseen M Arabi
    Citation: BMC Medical Informatics and Decision Making 2014 14:105
  48. The ultimate ambient-intelligent care room contains numerous sensors and devices to monitor the patient, sense and adjust the environment and support the staff. This sensor-based approach results in a large am...

    Authors: Femke Ongenae, Jeroen Famaey, Stijn Verstichel, Saar De Zutter, Steven Latré, Ann Ackaert, Piet Verhoeve and Filip De Turck
    Citation: BMC Medical Informatics and Decision Making 2014 14:97

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