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  1. Clinical practice guidelines give recommendations about what to do in various medical situations, including therapeutical recommendations for drug prescription. An effective way to computerize these recommenda...

    Authors: Jean-Baptiste Lamy, Vahid Ebrahiminia, Christine Riou, Brigitte Seroussi, Jacques Bouaud, Christian Simon, Stéphane Dubois, Antoine Butti, Gérard Simon, Madeleine Favre, Hector Falcoff and Alain Venot
    Citation: BMC Medical Informatics and Decision Making 2010 10:31
  2. BioSense is the US national automated biosurveillance system. Data regarding chief complaints and diagnoses are automatically pre-processed into 11 broader syndromes (e.g., respiratory) and 78 narrower sub-syn...

    Authors: Jerome I Tokars, Roseanne English, Paul McMurray and Barry Rhodes
    Citation: BMC Medical Informatics and Decision Making 2010 10:30
  3. Formulating a clinical information need in terms of the four atomic parts which are Population/Problem, Intervention, Comparison and Outcome (known as PICO elements) facilitates searching for a precise answer ...

    Authors: Florian Boudin, Jian-Yun Nie, Joan C Bartlett, Roland Grad, Pierre Pluye and Martin Dawes
    Citation: BMC Medical Informatics and Decision Making 2010 10:29
  4. The Body Surface Potential Map (BSPM) is an electrocardiographic method, for recording and displaying the electrical activity of the heart, from a spatial perspective. The BSPM has been deemed more accurate fo...

    Authors: Raymond R Bond, Dewar D Finlay, Chris D Nugent and George Moore
    Citation: BMC Medical Informatics and Decision Making 2010 10:28
  5. Patients with a prolonged intensive care unit (ICU) length of stay account for a disproportionate amount of resource use. Early identification of patients at risk for a prolonged length of stay can lead to qua...

    Authors: Andrew A Kramer and Jack E Zimmerman
    Citation: BMC Medical Informatics and Decision Making 2010 10:27
  6. The Joint Asia Diabetes Evaluation (JADE) Program is a web-based program incorporating a comprehensive risk engine, care protocols, and clinical decision support to improve ambulatory diabetes care.

    Authors: Gary T Ko, Wing-Yee So, Peter C Tong, Francois Le Coguiec, Debborah Kerr, Greg Lyubomirsky, Beaver Tamesis, Troels Wolthers, Jennifer Nan and Juliana Chan
    Citation: BMC Medical Informatics and Decision Making 2010 10:26
  7. Syndromic surveillance systems can potentially be used to detect a bioterrorist attack earlier than traditional surveillance, by virtue of their near real-time analysis of relevant data. Receiver operator char...

    Authors: Kerry A McBrien, Ken P Kleinman, Allyson M Abrams and Lisa A Prosser
    Citation: BMC Medical Informatics and Decision Making 2010 10:25
  8. Alzheimer's Disease (AD) affects a growing proportion of the population each year. Novel therapies on the horizon may slow the progress of AD symptoms and avoid cases altogether. Initiating treatment for the u...

    Authors: Nicolas M Furiak, Robert W Klein, Kristin Kahle-Wrobleski, Eric R Siemers, Eric Sarpong and Timothy M Klein
    Citation: BMC Medical Informatics and Decision Making 2010 10:24
  9. In recent years, several primary care databases recording information from computerized medical records have been established and used for quality assessment of medical care and research. However, to be useful...

    Authors: Per Hjerpe, Juan Merlo, Henrik Ohlsson, Kristina Bengtsson Boström and Ulf Lindblad
    Citation: BMC Medical Informatics and Decision Making 2010 10:23
  10. We are currently witnessing a significant increase in use of Open Source tools in the field of health. Our study aims to research the potential of these software packages for developing countries. Our experime...

    Authors: Cheick-Oumar Bagayoko, Jean-Charles Dufour, Saad Chaacho, Omar Bouhaddou and Marius Fieschi
    Citation: BMC Medical Informatics and Decision Making 2010 10:22
  11. Electronic prescribing is increasingly being used in primary care and in hospitals. Studies on the effects of e-prescribing systems have found evidence for both benefit and harm. The aim of this study was to i...

    Authors: Michelle Sweidan, Margaret Williamson, James F Reeve, Ken Harvey, Jennifer A O'Neill, Peter Schattner and Teri Snowdon
    Citation: BMC Medical Informatics and Decision Making 2010 10:21
  12. The concept of risk thresholds has been studied in medical decision making for over 30 years. During that time, physicians have been shown to be poor at estimating the probabilities required to use this method...

    Authors: Michael V Boland and Harold P Lehmann
    Citation: BMC Medical Informatics and Decision Making 2010 10:20
  13. Work-related injuries in Australia are estimated to cost around $57.5 billion annually, however there are currently insufficient surveillance data available to support an evidence-based public health response....

    Authors: Kirsten McKenzie, Margaret A Campbell, Deborah A Scott, Tim R Discoll, James E Harrison and Roderick J McClure
    Citation: BMC Medical Informatics and Decision Making 2010 10:19
  14. A common disclosure control practice for health datasets is to identify small geographic areas and either suppress records from these small areas or aggregate them into larger ones. A recent study provided a m...

    Authors: Khaled El Emam, Ann Brown, Philip AbdelMalik, Angelica Neisa, Mark Walker, Jim Bottomley and Tyson Roffey
    Citation: BMC Medical Informatics and Decision Making 2010 10:18
  15. Although the use of the Internet for health purposes has increased steadily in the last decade, only a few studies have explored the information provided by the websites of health institutions and no studies o...

    Authors: Giovanni Maifredi, Grazia Orizio, Maura Bressanelli, Serena Domenighini, Cinzia Gasparotti, Eleonora Perini, Luigi Caimi, Peter J Schulz and Umberto Gelatti
    Citation: BMC Medical Informatics and Decision Making 2010 10:17
  16. We present a potentially useful alternative approach based on support vector machine (SVM) techniques to classify persons with and without common diseases. We illustrate the method to detect persons with diabe...

    Authors: Wei Yu, Tiebin Liu, Rodolfo Valdez, Marta Gwinn and Muin J Khoury
    Citation: BMC Medical Informatics and Decision Making 2010 10:16
  17. The identification of clinically relevant information enables improvement in user interfaces and in data management. However, it is difficult to identify what information is important in daily clinical care, a...

    Authors: Ricardo J Cruz-Correia, Jeremy C Wyatt, Mario Dinis-Ribeiro and Altamiro Costa-Pereira
    Citation: BMC Medical Informatics and Decision Making 2010 10:15
  18. In computer supported outbreak detection, a statistical method is applied to a collection of cases to detect any excess cases for a particular disease. Whether a detected aberration is a true outbreak is decided ...

    Authors: Baki Cakici, Kenneth Hebing, Maria Grünewald, Paul Saretok and Anette Hulth
    Citation: BMC Medical Informatics and Decision Making 2010 10:14
  19. Long-distance ocean voyages may have substantial impacts on seamen's health, possibly causing malnutrition and other illness. Measures can possibly be taken to prevent such problems from happening through prep...

    Authors: Yunmei Lu, Yanhong Gao, Zhongbo Cao, Juan Cui, Zhennan Dong, Yaping Tian and Ying Xu
    Citation: BMC Medical Informatics and Decision Making 2010 10:13
  20. Whether early detection and treatment of prostate cancer (PCa) will reduce disease-related mortality remains uncertain. As a result, tools are needed to facilitate informed decision making. While there have be...

    Authors: Caroline S Dorfman, Randi M Williams, Elisabeth C Kassan, Sara N Red, David L Dawson, William Tuong, Elizabeth R Parker, Janet Ohene-Frempong, Kimberly M Davis, Alexander H Krist, Steven H Woolf, Marc D Schwartz, Mary B Fishman, Carmella Cole and Kathryn L Taylor
    Citation: BMC Medical Informatics and Decision Making 2010 10:12
  21. The International Classification for Primary Care (ICPC) standard aims to facilitate simultaneous and longitudinal comparisons of clinical primary care practice within and across country borders; it is also us...

    Authors: Taxiarchis Botsis, Carl-Fredrik Bassøe and Gunnar Hartvigsen
    Citation: BMC Medical Informatics and Decision Making 2010 10:11
  22. Health problem lists are a key component of electronic health records and are instrumental in the development of decision-support systems that encourage best practices and optimal patient safety. Most health p...

    Authors: Lise Poissant, Laurel Taylor, Allen Huang and Robyn Tamblyn
    Citation: BMC Medical Informatics and Decision Making 2010 10:10
  23. DRG-systems are used to allocate resources fairly to hospitals based on their performance. Statistically, this allocation is based on simple rules that can be modeled with regression trees. However, the result...

    Authors: Thomas Grubinger, Conrad Kobel and Karl-Peter Pfeiffer
    Citation: BMC Medical Informatics and Decision Making 2010 10:9
  24. A major challenge in designing useful clinical information systems in dentistry is to incorporate clinical evidence based on dentists' information needs and then integrate the system seamlessly into the comple...

    Authors: Mei Song, Heiko Spallek, Deborah Polk, Titus Schleyer and Teena Wali
    Citation: BMC Medical Informatics and Decision Making 2010 10:7
  25. The Internet is a fundamental part of the daily life of adolescents, they consider it as a safe and confidential source of information on health matters. The aims is to describe the experience of Spanish adole...

    Authors: Jaime Jiménez-Pernett, Antontio Olry de Labry-Lima, Clara Bermúdez-Tamayo, Jose Francisco García-Gutiérrez and Maria del Carmen Salcedo-Sánchez
    Citation: BMC Medical Informatics and Decision Making 2010 10:6
  26. Potassium disorders can cause major complications and must be avoided in critically ill patients. Regulation of potassium in the intensive care unit (ICU) requires potassium administration with frequent blood ...

    Authors: Miriam Hoekstra, Mathijs Vogelzang, José T Drost, Marcel Janse, Bert G Loef, Iwan CC van der Horst, Felix Zijlstra and Maarten WN Nijsten
    Citation: BMC Medical Informatics and Decision Making 2010 10:5
  27. Echo-state networks (ESN) are part of a group of reservoir computing methods and are basically a form of recurrent artificial neural networks (ANN). These methods can perform classification tasks on time serie...

    Authors: T Verplancke, S Van Looy, K Steurbaut, D Benoit, F De Turck, G De Moor and J Decruyenaere
    Citation: BMC Medical Informatics and Decision Making 2010 10:4
  28. Computerized ICUs rely on software services to convey the medical condition of their patients as well as assisting the staff in taking treatment decisions. Such services are useful for following clinical guide...

    Authors: Femke Ongenae, Femke De Backere, Kristof Steurbaut, Kirsten Colpaert, Wannes Kerckhove, Johan Decruyenaere and Filip De Turck
    Citation: BMC Medical Informatics and Decision Making 2010 10:3
  29. Electronic clinical decision support (CDS) is increasingly establishing its role in evidence-based clinical practice. Considerable evidence supports its enhancement of efficiency in e-Prescribing, but some con...

    Authors: Chee Peng Hor, James M O'Donnell, Andrew W Murphy, Timothy O'Brien and Thomas JB Kropmans
    Citation: BMC Medical Informatics and Decision Making 2010 10:2
  30. Current public concern over the spread of infectious diseases has underscored the importance of health surveillance systems for the speedy detection of disease outbreaks. Several international report-based mon...

    Authors: Hutchatai Chanlekha, Ai Kawazoe and Nigel Collier
    Citation: BMC Medical Informatics and Decision Making 2010 10:1
  31. Computerized provider order entry (CPOE) systems have been introduced to reduce medication errors, increase safety, improve work-flow efficiency, and increase medical service quality at the moment of prescript...

    Authors: Bahlol Rahimi, Toomas Timpka, Vivian Vimarlund, Srinivas Uppugunduri and Mikael Svensson
    Citation: BMC Medical Informatics and Decision Making 2009 9:52
  32. To investigate the feasibility, the ease of implementation, and the extent to which community health workers with little experience of data collection could be trained and successfully supervised to collect da...

    Authors: Mark Tomlinson, Wesley Solomon, Yages Singh, Tanya Doherty, Mickey Chopra, Petrida Ijumba, Alexander C Tsai and Debra Jackson
    Citation: BMC Medical Informatics and Decision Making 2009 9:51
  33. Peru has a concentrated HIV epidemic with an estimated 76,000 people living with HIV (PLHIV). Access to highly active antiretroviral therapy (HAART) expanded between 2004-2006 and the Peruvian National Institu...

    Authors: Patricia J García, Javier H Vargas, Patricia Caballero N, Javier Calle V and Angela M Bayer
    Citation: BMC Medical Informatics and Decision Making 2009 9:50
  34. Early detection of colorectal cancer through timely follow-up of positive Fecal Occult Blood Tests (FOBTs) remains a challenge. In our previous work, we found 40% of positive FOBT results eligible for colonosc...

    Authors: Hardeep Singh, Lindsey Wilson, Laura A Petersen, Mona K Sawhney, Brian Reis, Donna Espadas and Dean F Sittig
    Citation: BMC Medical Informatics and Decision Making 2009 9:49
  35. The use of routine hospital data for understanding patterns of adverse outcomes has been limited in the past by the fact that pre-existing and post-admission conditions have been indistinguishable. The use of ...

    Authors: Terri J Jackson, Jude L Michel, Rosemary Roberts, Jennie Shepheard, Diana Cheng, Julie Rust and Catherine Perry
    Citation: BMC Medical Informatics and Decision Making 2009 9:48
  36. Men with prostate cancer are often challenged to choose between conservative management and a range of available treatment options each carrying varying risks and benefits. The trade-offs are between an improv...

    Authors: Salimah H Meghani, Christopher S Lee, Alexandra L Hanlon and Deborah W Bruner
    Citation: BMC Medical Informatics and Decision Making 2009 9:47
  37. The objective of this feasibility study was to gain insight into occupational physicians' (OPs) and employees' use of, and attitudes towards, 'Snelbeter' (Get Well Fast), a new web-based counselling program fo...

    Authors: Tanja de Jong, Judith Heinrich, Birgitte M Blatter, Johannes R Anema and Allard J van der Beek
    Citation: BMC Medical Informatics and Decision Making 2009 9:46
  38. The analysis of pelvic CT scans is a crucial step for detecting and assessing the severity of Traumatic Pelvic Injuries. Automating the processing of pelvic CT scans could impact decision accuracy, decrease th...

    Authors: Simina Vasilache, Kevin Ward, Charles Cockrell, Jonathan Ha and Kayvan Najarian
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S8

    This article is part of a Supplement: Volume 9 Supplement 1

  39. Early detection of outdoor aerosol releases of anthrax is an important problem. The Bayesian Aerosol Release Detector (BARD) is a system for detecting releases of aerosolized anthrax and characterizing them in...

    Authors: Aurel Cami, Garrick L Wallstrom and William R Hogan
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S7

    This article is part of a Supplement: Volume 9 Supplement 1

  40. Functional Magnetic Resonance Imaging (fMRI) has been proven to be useful for studying brain functions. However, due to the existence of noise and distortion, mapping between the fMRI signal and the actual neu...

    Authors: Soo-Yeon Ji, Kevin Ward and Kayvan Najarian
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S6

    This article is part of a Supplement: Volume 9 Supplement 1

  41. Publication databases in biomedicine (e.g., PubMed, MEDLINE) are growing rapidly in size every year, as are public databases of experimental biological data and annotations derived from the data. Publications ...

    Authors: Paul Breimyer, Nathan Green, Vinay Kumar and Nagiza F Samatova
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S5

    This article is part of a Supplement: Volume 9 Supplement 1

  42. Accurate analysis of CT brain scans is vital for diagnosis and treatment of Traumatic Brain Injuries (TBI). Automatic processing of these CT brain scans could speed up the decision making process, lower the co...

    Authors: Wenan Chen, Rebecca Smith, Soo-Yeon Ji, Kevin R Ward and Kayvan Najarian
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S4

    This article is part of a Supplement: Volume 9 Supplement 1

  43. Capturing accurate and machine-interpretable primary data from clinical encounters is a challenging task, yet critical to the integrity of the practice of medicine. We explore the intriguing possibility that t...

    Authors: Jeffrey G Klann and Peter Szolovits
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S3

    This article is part of a Supplement: Volume 9 Supplement 1

  44. Traumatic pelvic injuries are often associated with severe, life-threatening hemorrhage, and immediate medical treatment is therefore vital. However, patient prognosis depends heavily on the type, location and...

    Authors: Rebecca Smith, Kayvan Najarian and Kevin Ward
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S2

    This article is part of a Supplement: Volume 9 Supplement 1

  45. Digital mammography is one of the most promising options to diagnose breast cancer which is the most common cancer in women. However, its effectiveness is enfeebled due to the difficulty in distinguishing actu...

    Authors: Sejong Yoon and Saejoon Kim
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S1

    This article is part of a Supplement: Volume 9 Supplement 1

  46. This article [1] has been retracted because the Editors are unable to ensure the scientific veracity of the findings or the ethical conduct of the authors despite an extensive investigation.

    Authors: Hui-Chuan Shih, Pesus Chou, Chi-Ming Liu and Tao-Hsin Tung
    Citation: BMC Medical Informatics and Decision Making 2009 9:45

    The original article was published in BMC Medical Informatics and Decision Making 2007 7:34

  47. Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personaliz...

    Authors: Gregory J Downing, Scott N Boyle, Kristin M Brinner and Jerome A Osheroff
    Citation: BMC Medical Informatics and Decision Making 2009 9:44
  48. There are few studies that examine the processes that interdisciplinary teams engage in and how we can design health information systems (HIS) to support those team processes. This was an exploratory study wit...

    Authors: Craig E Kuziemsky, Elizabeth M Borycki, Mary Ellen Purkis, Fraser Black, Michael Boyle, Denise Cloutier-Fisher, Lee Ann Fox, Patricia MacKenzie, Ann Syme, Coby Tschanz, Wendy Wainwright and Helen Wong
    Citation: BMC Medical Informatics and Decision Making 2009 9:43
  49. The DREAM Project operates within the framework of the national health systems of several sub-Saharan African countries and aims to introduce the essential components of an integrated strategy for the preventi...

    Authors: Andrea Nucita, Giuseppe M Bernava, Michelangelo Bartolo, Fabio Di Pane Masi, Pietro Giglio, Marco Peroni, Giovanni Pizzimenti and Leonardo Palombi
    Citation: BMC Medical Informatics and Decision Making 2009 9:42

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