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  1. The causes of the underutilization of disease modifying anti-rheumatic drugs (DMARDS) for rheumatoid arthritis (RA) are not fully known, but may in part, relate to individual patient factors including risk per...

    Authors: Richard W Martin, Kelsey McCallops, Andrew J Head, Aaron T Eggebeen, James D Birmingham and Donald J Tellinghuisen
    Citation: BMC Medical Informatics and Decision Making 2013 13:89
  2. This study was performed to investigate the usefulness of clinical pathway (CP) using an electronic medical record (EMR) in pediatric patients undergoing closed pinning for supracondylar fracture of the humeru...

    Authors: Ki Hyuk Sung, Chin Youb Chung, Kyoung Min Lee, Seung Yeol Lee, Soyeon Ahn, Somin Park, In Ho Choi, Tae-Joon Cho, Won Joon Yoo, Jung Hyun Lee and Moon Seok Park
    Citation: BMC Medical Informatics and Decision Making 2013 13:87
  3. Despite considerable financial incentives for adoption, there is little evidence available about providers’ use and satisfaction with key functions of electronic health records (EHRs) that meet “meaningful use...

    Authors: Anil N Makam, Holly J Lanham, Kim Batchelor, Lipika Samal, Brett Moran, Temple Howell-Stampley, Lynne Kirk, Manjula Cherukuri, Noel Santini, Luci K Leykum and Ethan A Halm
    Citation: BMC Medical Informatics and Decision Making 2013 13:86
  4. Privacy and information security are important for all healthcare services, including home-based services. We have designed and implemented a prototype technology platform for providing home-based healthcare s...

    Authors: Eva Henriksen, Tatjana M Burkow, Elin Johnsen and Lars K Vognild
    Citation: BMC Medical Informatics and Decision Making 2013 13:85
  5. Audit Trails (AT) are fundamental to information security in order to guarantee access traceability but can also be used to improve Health information System’s (HIS) quality namely to assess how they are used ...

    Authors: Ricardo Cruz-Correia, Isabel Boldt, Luís Lapão, Cátia Santos-Pereira, Pedro Pereira Rodrigues, Ana Margarida Ferreira and Alberto Freitas
    Citation: BMC Medical Informatics and Decision Making 2013 13:84
  6. Patients with prostate cancer face the difficult decision between a wide range of therapeutic options. These men require elaborate information about their individual risk profile and the therapeutic strategies...

    Authors: Daniel Baumunk, Roman Reunkoff, Julien Kushner, Alexandra Baumunk, Carsten Kempkensteffen, Ursula Steiner, Steffen Weikert, Lutz Moser, Mark Schrader, Stefan Höcht, Thomas Wiegel, Kurt Miller and Martin Schostak
    Citation: BMC Medical Informatics and Decision Making 2013 13:83
  7. Electronic decision support is commonplace in medical practice. However, its adoption at the point-of-care is dependent on a range of organisational, patient and clinician-related factors. In particular, level...

    Authors: Julia M Langton, Bianca Blanch, Nicole Pesa, Jae Min Park and Sallie-Anne Pearson
    Citation: BMC Medical Informatics and Decision Making 2013 13:82
  8. Effective population management of patients with diabetes requires timely recognition. Current case-finding algorithms can accurately detect patients with diabetes, but lack real-time identification. We sought...

    Authors: Anil N Makam, Oanh K Nguyen, Billy Moore, Ying Ma and Ruben Amarasingham
    Citation: BMC Medical Informatics and Decision Making 2013 13:81
  9. The present study aimed to develop an artificial neural network (ANN) based prediction model for cardiovascular autonomic (CA) dysfunction in the general population.

    Authors: Juanmei Liu, Zi-Hui Tang, Fangfang Zeng, Zhongtao Li and Linuo Zhou
    Citation: BMC Medical Informatics and Decision Making 2013 13:80
  10. Although usage and acceptance are important factors for a successful implementation of clinical decision support systems for medication, most studies only concentrate on their design and outcome. Our objective...

    Authors: Brita Sedlmayr, Andrius Patapovas, Melanie Kirchner, Anja Sonst, Fabian Müller, Barbara Pfistermeister, Bettina Plank-Kiegele, Renate Vogler, Manfred Criegee-Rieck, Hans-Ulrich Prokosch, Harald Dormann, Renke Maas and Thomas Bürkle
    Citation: BMC Medical Informatics and Decision Making 2013 13:79
  11. Despite the increasing pervasiveness of mobile computational technologies, knowledge about psychiatric patients’ preferences regarding the design and utility of mobile applications is very poor. This paper rep...

    Authors: Jean-François Pelletier, Michael Rowe, Nathe François, Julie Bordeleau and Sonia Lupien
    Citation: BMC Medical Informatics and Decision Making 2013 13:78
  12. Translational medical research literature has increased rapidly in the last few decades and played a more and more important role during the development of medicine science. The main aim of this study is to ev...

    Authors: Qiang Yao, Peng-Hui Lyu, Fei-Cheng Ma, Lan Yao and Shi-Jing Zhang
    Citation: BMC Medical Informatics and Decision Making 2013 13:77
  13. Following the completion of treatment and as they enter the follow-up phase, breast cancer patients (BCPs) often recount feeling ‘lost in transition’, and are left with many questions concerning how their ongo...

    Authors: Rashida Haq, Lineke Heus, Natalie A Baker, Daisy Dastur, Fok-Han Leung, Eman Leung, Benjamin Li, Kathy Vu and Janet A Parsons
    Citation: BMC Medical Informatics and Decision Making 2013 13:76
  14. The usage of patient data for research poses risks concerning the patients’ privacy and informational self-determination. Next-generation-sequencing technologies and various other methods gain data from biospe...

    Authors: Harald Aamot, Christian Dominik Kohl, Daniela Richter and Petra Knaup-Gregori
    Citation: BMC Medical Informatics and Decision Making 2013 13:75
  15. In previous work, we described the development of an 81-item video-animated tool for assessing mobility. In response to criticism levied during a pilot study of this tool, we sought to develop a new version bu...

    Authors: Ryan T Barnard, Anthony P Marsh, Walter Jack Rejeski, Anthony Pecorella and Edward H Ip
    Citation: BMC Medical Informatics and Decision Making 2013 13:73
  16. For over 60 years, the Karnofsky Performance Status (KPS) has proven itself a valuable tool with which to perform measurement of and comparison between the functional statuses of individual patients. In recent...

    Authors: Dominik Péus, Nicolas Newcomb and Silvia Hofer
    Citation: BMC Medical Informatics and Decision Making 2013 13:72
  17. Electronic health records (EHRs) provide enormous potential for health research but also present data governance challenges. Ensuring de-identification is a pre-requisite for use of EHR data without prior cons...

    Authors: Andrea C Fernandes, Danielle Cloete, Matthew TM Broadbent, Richard D Hayes, Chin-Kuo Chang, Richard G Jackson, Angus Roberts, Jason Tsang, Murat Soncul, Jennifer Liebscher, Robert Stewart and Felicity Callard
    Citation: BMC Medical Informatics and Decision Making 2013 13:71
  18. Identification and tracking of important communicable diseases is pivotal to our understanding of the geographical distribution of disease, the emergence and spread of novel and resistant infections, and are o...

    Authors: Benedict Daniel Michael and David Geleta
    Citation: BMC Medical Informatics and Decision Making 2013 13:70
  19. Electronic Patient Medication Record (ePMR) systems have important safety features embedded to alert users about potential clinical hazards and errors. To date, there is no synthesis of evidence about the effe...

    Authors: Oluwagbemileke Ojeleye, Anthony Avery, Vaibhav Gupta and Matthew Boyd
    Citation: BMC Medical Informatics and Decision Making 2013 13:69
  20. Handheld computers for data collection (HCDC) and management have become increasingly common in health research. However, current knowledge about the use of HCDC in health research in China is very limited. In...

    Authors: Xia Wan, H Fisher Raymond, Tiancai Wen, Ding Ding, Qian Wang, Sanghyuk S Shin, Gonghuan Yang, Wanxing Chai, Peng Zhang and Thomas E Novotny
    Citation: BMC Medical Informatics and Decision Making 2013 13:68
  21. Computerized Provider Order Entry (CPOE) can improve patient safety, quality and efficiency, but hospitals face a host of barriers to adopting CPOE, ranging from resistance among physicians to the cost of the ...

    Authors: Steven R Simon, Carol A Keohane, Mary Amato, Michael Coffey, Bismarck Cadet, Eyal Zimlichman and David W Bates
    Citation: BMC Medical Informatics and Decision Making 2013 13:67
  22. Chronic low back pain is a common chronic condition whose treatment success can be improved by active involvement of patients. Patient involvement can be fostered by web-based applications combining health inf...

    Authors: Jörg Dirmaier, Martin Härter and Nina Weymann
    Citation: BMC Medical Informatics and Decision Making 2013 13:66
  23. High override rates for drug-drug interaction (DDI) alerts in electronic health records (EHRs) result in the potentially dangerous consequence of providers ignoring clinically significant alerts. Lack of unifo...

    Authors: Shobha Phansalkar, Amrita Desai, Anish Choksi, Eileen Yoshida, John Doole, Melissa Czochanski, Alisha D Tucker, Blackford Middleton, Douglas Bell and David W Bates
    Citation: BMC Medical Informatics and Decision Making 2013 13:65
  24. Within the field of record linkage, numerous data cleaning and standardisation techniques are employed to ensure the highest quality of links. While these facilities are common in record linkage software packa...

    Authors: Sean M Randall, Anna M Ferrante, James H Boyd and James B Semmens
    Citation: BMC Medical Informatics and Decision Making 2013 13:64
  25. The behaviour of doctors and their responses to warnings can inform the effective design of Clinical Decision Support Systems. We used data from a University hospital electronic prescribing and laboratory repo...

    Authors: Sabi Redwood, Nothando B Ngwenya, James Hodson, Robin E Ferner and Jamie J Coleman
    Citation: BMC Medical Informatics and Decision Making 2013 13:63
  26. The validity of studies describing clinicians’ judgements based on their responses to paper cases is questionable, because - commonly used - paper case simulations only partly reflect real clinical environment...

    Authors: Huiqin Yang, Carl Thompson, Robert M Hamm, Martin Bland and Alison Foster
    Citation: BMC Medical Informatics and Decision Making 2013 13:62
  27. A large proportion of patients with knee and/or hip osteoarthritis (OA) do not meet the recommended levels of physical activity (PA). Therefore, we developed a web-based intervention that provides a tailored P...

    Authors: Daniel Bossen, Cindy Veenhof, Joost Dekker and Dinny de Bakker
    Citation: BMC Medical Informatics and Decision Making 2013 13:61
  28. Falls among the elderly are a major public health concern. Therefore, the possibility of a modeling technique which could better estimate fall probability is both timely and needed. Using biomedical, pharmacol...

    Authors: Patrick C Hardigan, David C Schwartz and William D Hardigan
    Citation: BMC Medical Informatics and Decision Making 2013 13:60
  29. Computer simulation studies of the emergency department (ED) are often patient driven and consider the physician as a human resource whose primary activity is interacting directly with the patient. In many EDs...

    Authors: Morgan E Lim, Andrew Worster, Ron Goeree and Jean-Éric Tarride
    Citation: BMC Medical Informatics and Decision Making 2013 13:59
  30. Primary care doctors in NHSScotland have been using electronic medical records within their practices routinely for many years. The Scottish Health Executive eHealth strategy (2008-2011) has recently brought r...

    Authors: Matt-Mouley Bouamrane and Frances S Mair
    Citation: BMC Medical Informatics and Decision Making 2013 13:58
  31. The openEHR project and the closely related ISO 13606 standard have defined structures supporting the content of Electronic Health Records (EHRs). However, there is not yet any finalized openEHR specification ...

    Authors: Erik Sundvall, Mikael Nyström, Daniel Karlsson, Martin Eneling, Rong Chen and Håkan Örman
    Citation: BMC Medical Informatics and Decision Making 2013 13:57
  32. Tuberculosis (TB) is a serious public health issue in developing countries. Early prediction of TB epidemic is very important for its control and intervention. We aimed to develop an appropriate model for pred...

    Authors: Shiyi Cao, Feng Wang, Wilson Tam, Lap Ah Tse, Jean Hee Kim, Junan Liu and Zuxun Lu
    Citation: BMC Medical Informatics and Decision Making 2013 13:56
  33. Inadequate understanding of risk among counselees is a common problem in familial cancer clinics. It has been suggested that graphical displays can help counselees understand cancer risks and subsequent decisi...

    Authors: Lidewij Henneman, Jan C Oosterwijk, Christi J van Asperen, Fred H Menko, Caroline F Ockhuysen-Vermey, Piet J Kostense, Liesbeth Claassen and Daniëlle RM Timmermans
    Citation: BMC Medical Informatics and Decision Making 2013 13:55
  34. Clinical Decision Support Systems (CDSSs) can support guideline adherence in heart failure (HF) patients. However, the use of CDSSs is limited and barriers in working with CDSSs have been described as a major ...

    Authors: Arjen E de Vries, Martje HL van der Wal, Maurice MW Nieuwenhuis, Richard M de Jong, Rene B van Dijk, Tiny Jaarsma, Hans L Hillege and Rene J Jorna
    Citation: BMC Medical Informatics and Decision Making 2013 13:54
  35. Cincinnati Children’s Hospital Medical Center (CCHMC) has built the initial Natural Language Processing (NLP) component to extract medications with their corresponding medical conditions (Indications, Contrain...

    Authors: Qi Li, Louise Deleger, Todd Lingren, Haijun Zhai, Megan Kaiser, Laura Stoutenborough, Anil G Jegga, Kevin Bretonnel Cohen and Imre Solti
    Citation: BMC Medical Informatics and Decision Making 2013 13:53
  36. For many healthcare decisions, multiple alternatives are available with different combinations of advantages and disadvantages across several important dimensions. The complexity of current healthcare decision...

    Authors: James G Dolan, Peter J Veazie and Ann J Russ
    Citation: BMC Medical Informatics and Decision Making 2013 13:51
  37. The information provided in patient-centered care and shared decision-making influences patients’ concerns and adherence to treatment. In the decision-making process, patients experience decisional conflict. T...

    Authors: Takashi Kawaguchi, Kanako Azuma, Takuhiro Yamaguchi, Hiroshi Soeda, Yusuke Sekine, Masayoshi Koinuma, Hironori Takeuchi, Takao Akashi and Sakae Unezaki
    Citation: BMC Medical Informatics and Decision Making 2013 13:50
  38. Many medical organizations have invested heavily in electronic health record (EHR) and health information exchange (HIE) information systems (IS) to improve medical decision-making and increase efficiency. Des...

    Authors: Ofir Ben-Assuli, Itamar Shabtai and Moshe Leshno
    Citation: BMC Medical Informatics and Decision Making 2013 13:49
  39. Overtreatment of catheter-associated bacteriuria is a quality and safety problem, despite the availability of evidence-based guidelines. Little is known about how guidelines-based knowledge is integrated into ...

    Authors: Barbara W Trautner, Rupal D Bhimani, Amber B Amspoker, Sylvia J Hysong, Armandina Garza, P Adam Kelly, Velma L Payne and Aanand D Naik
    Citation: BMC Medical Informatics and Decision Making 2013 13:48
  40. In two landmark reports on Quality and Information Technology, the Institute of Medicine described a 21st century healthcare delivery system that would improve the quality of care while reducing its costs. To ...

    Authors: James B Jones, Walter F Stewart, Jonathan D Darer and Dean F Sittig
    Citation: BMC Medical Informatics and Decision Making 2013 13:47
  41. Implementation and use of electronic health records (EHRs) could lead to potential improvements in quality of care. However, the use of EHRs also introduces unique and often unexpected patient safety risks. Pr...

    Authors: Hardeep Singh, Joan S Ash and Dean F Sittig
    Citation: BMC Medical Informatics and Decision Making 2013 13:46
  42. Algorithms to identify screening colonoscopies in administrative databases would be useful for monitoring colorectal cancer (CRC) screening uptake, tracking health resource utilization, and quality assurance. ...

    Authors: Maida J Sewitch, Mengzhu Jiang, Lawrence Joseph, Robert J Hilsden and Alain Bitton
    Citation: BMC Medical Informatics and Decision Making 2013 13:45
  43. Despite strong efforts to improve maternal care, its quality remains deficient in many countries of Sub-Saharan Africa as persistently high maternal mortality rates testify. The QUALMAT study seeks to improve ...

    Authors: Antje Blank, Helen Prytherch, Jens Kaltschmidt, Andreas Krings, Felix Sukums, Nathan Mensah, Alphonse Zakane, Svetla Loukanova, Lars L Gustafsson, Rainer Sauerborn and Walter E Haefeli
    Citation: BMC Medical Informatics and Decision Making 2013 13:44
  44. We describe and evaluate the development and use of a Clinical Decision Support (CDS) intervention; an alert, in response to an identified medical error of overuse of a diagnostic laboratory test in a Computer...

    Authors: Donald L Levick, Glenn Stern, Chad D Meyerhoefer, Aaron Levick and David Pucklavage
    Citation: BMC Medical Informatics and Decision Making 2013 13:43
  45. With an ever-growing ageing population, dementia is fast becoming the chronic disease of the 21st century. Elderly people affected with dementia progressively lose their autonomy as they encounter problems in the...

    Authors: Hamdi Aloulou, Mounir Mokhtari, Thibaut Tiberghien, Jit Biswas, Clifton Phua, Jin Hong Kenneth Lin and Philip Yap
    Citation: BMC Medical Informatics and Decision Making 2013 13:42
  46. Detecting protein complexes is one of essential and fundamental tasks in understanding various biological functions or processes. Therefore accurate identification of protein complexes is indispensable.

    Authors: Jaegyoon Ahn, Dae Hyun Lee, Youngmi Yoon, Yunku Yeu and Sanghyun Park
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S5

    This article is part of a Supplement: Volume 13 Supplement 1

  47. Biological systems are robust and complex to maintain stable phenotypes under various conditions. In these systems, drugs reported the limited efficacy and unexpected side-effects. To remedy this situation, ma...

    Authors: Woochang Hwang, Yongdeuk Hwang, Sunjae Lee and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S4

    This article is part of a Supplement: Volume 13 Supplement 1

  48. As the amount of publicly available biomedical data increases, discovering hidden knowledge from biomedical data (i.e., Undiscovered Public Knowledge (UPK) proposed by Swanson) became an important research top...

    Authors: Jaejoon Choi, Kwangmin Kim, Min Song and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S2

    This article is part of a Supplement: Volume 13 Supplement 1

  49. Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinic...

    Authors: Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S1

    This article is part of a Supplement: Volume 13 Supplement 1

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