Skip to main content

Articles

Page 48 of 67

  1. There is increasing interest in using prediction models to identify patients at risk of readmission or death after hospital discharge, but existing models have significant limitations. Electronic medical recor...

    Authors: Ruben Amarasingham, Ferdinand Velasco, Bin Xie, Christopher Clark, Ying Ma, Song Zhang, Deepa Bhat, Brian Lucena, Marco Huesch and Ethan A. Halm
    Citation: BMC Medical Informatics and Decision Making 2015 15:39
  2. Electronic Health Records (EHRs) are frequently used by clinicians and researchers to search for, extract, and analyze groups of patients by defining Health Outcome of Interests (HOI). The definition of an HOI...

    Authors: Olivier C Curé, Henri Maurer, Nigam H Shah and Paea Le Pendu
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S8

    This article is part of a Supplement: Volume 15 Supplement 1

  3. Alterations of a genome can lead to changes in protein functions. Through these genetic mutations, a protein can lose its native function (loss-of-function, LoF), or it can confer a new function (gain-of-funct...

    Authors: Seunghwan Jung, Sejoon Lee, Sangwoo Kim and Hojung Nam
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S6

    This article is part of a Supplement: Volume 15 Supplement 1

  4. Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promisi...

    Authors: Lin Chen, Kirsten Vallmuur and Richi Nayak
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S5

    This article is part of a Supplement: Volume 15 Supplement 1

  5. The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received m...

    Authors: Jin G Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler and Heng Ji
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S4

    This article is part of a Supplement: Volume 15 Supplement 1

  6. Interactions between biological entities such as genes, proteins and metabolites, so called pathways, are key features to understand molecular mechanisms of life. As pathway information is being accumulated ra...

    Authors: Seyeol Yoon, Jinmyung Jung, Hasun Yu, Mijin Kwon, Sungji Choo, Kyunghyun Park, Dongjin Jang, Sangwoo Kim and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S3

    This article is part of a Supplement: Volume 15 Supplement 1

  7. Alzheimer's disease (AD) is a neurodegenerative and progressive disorder that results in brain malfunctions. Resting-state (RS) functional magnetic resonance imaging (fMRI) techniques have been successfully ap...

    Authors: Jongan Lee, Younghoon Kim, Yong Jeong, Duk L Na, Jong-Won Kim, Kwang H Lee and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S1

    This article is part of a Supplement: Volume 15 Supplement 1

  8. The Operating Room (OR) is a key resource of all major hospitals, but it also accounts for up 40 % of resource costs. Improving cost effectiveness, while maintaining a quality of care, is a universal objective...

    Authors: Simone Barbagallo, Luca Corradi, Jean de Ville de Goyet, Marina Iannucci, Ivan Porro, Nicola Rosso, Elena Tanfani and Angela Testi
    Citation: BMC Medical Informatics and Decision Making 2015 15:38
  9. In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specif...

    Authors: Qi Li, Stephen Andrew Spooner, Megan Kaiser, Nataline Lingren, Jessica Robbins, Todd Lingren, Huaxiu Tang, Imre Solti and Yizhao Ni
    Citation: BMC Medical Informatics and Decision Making 2015 15:37
  10. The incidence of chronic diseases in low- and middle-income countries is rapidly increasing both in urban and rural regions. A major challenge for health systems globally is to develop innovative solutions for...

    Authors: Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko and Gari Clifford
    Citation: BMC Medical Informatics and Decision Making 2015 15:36
  11. Computerized clinical decision support (CDS) can help hospitals to improve healthcare. However, CDS can be problematic. The purpose of this study was to discover how the views of clinical stakeholders, CDS con...

    Authors: Joan S Ash, Dean F Sittig, Carmit K McMullen, Adam Wright, Arwen Bunce, Vishnu Mohan, Deborah J Cohen and Blackford Middleton
    Citation: BMC Medical Informatics and Decision Making 2015 15:35
  12. One economical way to inform patients about their illness and medical procedures is to provide written health information material. So far, a generic and psychometrically sound scale to evaluate cognitive, emo...

    Authors: Lars P Hölzel, Zivile Ries, Jörg Dirmaier, Jördis M Zill, Levente Kriston, Christian Klesse, Martin Härter and Isaac Bermejo
    Citation: BMC Medical Informatics and Decision Making 2015 15:34
  13. Provision of care to patients with chronic diseases remains a great challenge for modern health care systems. eHealth is indicated as one of the strategies which could improve care delivery to this group of pa...

    Authors: Mariusz Duplaga
    Citation: BMC Medical Informatics and Decision Making 2015 15:33
  14. Personal Health Records (PHRs) are electronic health records controlled, shared or maintained by patients to support patient centered care. The potential for PHRs to transform health care is significant; howev...

    Authors: Morgan Price, Paule Bellwood, Nicole Kitson, Iryna Davies, Jens Weber and Francis Lau
    Citation: BMC Medical Informatics and Decision Making 2015 15:32
  15. Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive ...

    Authors: Marcello Tonelli, Natasha Wiebe, Martin Fortin, Bruce Guthrie, Brenda R Hemmelgarn, Matthew T James, Scott W Klarenbach, Richard Lewanczuk, Braden J Manns, Paul Ronksley, Peter Sargious, Sharon Straus and Hude Quan
    Citation: BMC Medical Informatics and Decision Making 2015 15:31

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:177

  16. Effective implementation of a Primary Care Medical Home model of care (PCMH) requires integration of patients’ contextual information (physical, mental, social and financial status) into an easily retrievable ...

    Authors: Charlene R Weir, Nancy Staggers, Bryan Gibson, Kristina Doing-Harris, Robyn Barrus and Robert Dunlea
    Citation: BMC Medical Informatics and Decision Making 2015 15:30
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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

Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
    213 days submission to accept (Median)

    2023 Usage 
    2,588,758 downloads
    2,443 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Sign up for article alerts and news from this journal