Skip to main content

Articles

Page 49 of 66

  1. Cross-institutional cross-disciplinary collaboration has become a trend as researchers move toward building more productive and innovative teams for scientific research. Research collaboration is significantly...

    Authors: Jake Luo, Carolyn Apperson-Hansen, Clara M Pelfrey and Guo-Qiang Zhang
    Citation: BMC Medical Informatics and Decision Making 2014 14:106
  2. Changes in daily habits can provide important information regarding the overall health status of an individual. This research aimed to determine how meaningful information may be extracted from limited sensor ...

    Authors: Joost de Folter, Hulya Gokalp, Joanna Fursse, Urvashi Sharma and Malcolm Clarke
    Citation: BMC Medical Informatics and Decision Making 2014 14:102
  3. Technology has the potential to provide support for self-management to people with congestive heart failure (CHF). This paper describes the results of a realist evaluation of the SMART Personalised Self-Manage...

    Authors: Yvonne K Bartlett, Annette Haywood, Claire L Bentley, Jack Parker, Mark S Hawley, Gail A Mountain and Susan Mawson
    Citation: BMC Medical Informatics and Decision Making 2014 14:109
  4. Shared decision-making in rheumatoid arthritis (RA) care is a priority among policy makers, clinicians and patients both nationally and internationally. Demands on patients to have basic knowledge of RA, treat...

    Authors: Jennifer L Barton, Christopher J Koenig, Gina Evans-Young, Laura Trupin, Jennie Anderson, Dana Ragouzeos, Maggie Breslin, Timothy Morse, Dean Schillinger, Victor M Montori and Edward H Yelin
    Citation: BMC Medical Informatics and Decision Making 2014 14:104
  5. Excessive venipunctures are a significant problem both in emergency rooms and during hospital stays. Near-infrared (NIR) illumination devices improve venipuncture success rate but their usage is limited by the...

    Authors: Simon Juric and Borut Zalik
    Citation: BMC Medical Informatics and Decision Making 2014 14:100
  6. Using Monte Carlo simulations, we compare different methods (maximizing Youden index, maximizing mutual information, and logistic regression) for their ability to determine optimum binary cut-off thresholds fo...

    Authors: Gilbert Reibnegger and Walter Schrabmair
    Citation: BMC Medical Informatics and Decision Making 2014 14:99
  7. Effective surgical pre-assessment will depend upon the collection of relevant medical information, good data management and communication between the members of the preoperative multi-disciplinary team. NHS Gr...

    Authors: Matt-Mouley Bouamrane and Frances S Mair
    Citation: BMC Medical Informatics and Decision Making 2014 14:93
  8. Time pressure is common in acute healthcare and significantly influences clinical judgement and decision making. Despite nurses’ judgements being studied since the 1960s, the empirical picture of how time pres...

    Authors: Huiqin Yang, Carl Thompson and Martin Bland
    Citation: BMC Medical Informatics and Decision Making 2014 14:96
  9. Although research suggests that patients prefer a shared decision making (SDM) experience when making healthcare decisions, clinicians do not routinely implement SDM into their practice and training programs a...

    Authors: Robert J Volk, Navkiran K Shokar, Viola B Leal, Robert J Bulik, Suzanne K Linder, Patricia Dolan Mullen, Richard M Wexler and Gurjeet S Shokar
    Citation: BMC Medical Informatics and Decision Making 2014 14:95
  10. To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care.

    Authors: Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna Suominen, Jim Basilakis and Linda Dawson
    Citation: BMC Medical Informatics and Decision Making 2014 14:94
  11. The amount of clinical information that providers encounter daily creates an environment for information overload and medical error. To create a more efficient EMR human-computer interface, we aimed to underst...

    Authors: Marc A Ellsworth, Tara R Lang, Brian W Pickering and Vitaly Herasevich
    Citation: BMC Medical Informatics and Decision Making 2014 14:92
  12. Adverse Drug Reactions are one of the leading causes of injury or death among patients undergoing medical treatments. Not all Adverse Drug Reactions are identified before a drug is made available in the market...

    Authors: Hariprasad Sampathkumar, Xue-wen Chen and Bo Luo
    Citation: BMC Medical Informatics and Decision Making 2014 14:91
  13. Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency...

    Authors: Heekyong Park and Jinwook Choi
    Citation: BMC Medical Informatics and Decision Making 2014 14:90
  14. Length-of-stay prediction for cardiac surgery patients is a key point for medical management issues, such as optimization of resources in intensive care units and operating room scheduling. Scoring systems are...

    Authors: Paolo Barbini, Emanuela Barbini, Simone Furini and Gabriele Cevenini
    Citation: BMC Medical Informatics and Decision Making 2014 14:89
  15. Childhood cancer relies heavily on inpatient hospital services to deliver tumor-directed therapy and manage toxicities. Hospitalizations have increased over the past decade, though not uniformly across childho...

    Authors: Heidi V Russell, M Fatih Okcu, Kala Kamdar, Mona D Shah, Eugene Kim, J Michael Swint, Wenyaw Chan, Xianglin L Du, Luisa Franzini and Vivian Ho
    Citation: BMC Medical Informatics and Decision Making 2014 14:88
  16. Several single nucleotide polymorphisms (SNPs) at different loci have been associated with breast cancer susceptibility, accounting for around 10% of the familial component. Recent studies have found direct as...

    Authors: Mattia CF Prosperi, Sarah L Ingham, Anthony Howell, Fiona Lalloo, Iain E Buchan and Dafydd Gareth Evans
    Citation: BMC Medical Informatics and Decision Making 2014 14:87
  17. Physicians frequently differ in their treatment recommendations. However, few studies have examined the reasons underlying these differences. The objective of this study was to examine whether physicians vary ...

    Authors: Raluca Cozmuta, Peter A Merkel, Elizabeth Wahl and Liana Fraenkel
    Citation: BMC Medical Informatics and Decision Making 2014 14:86
  18. Linkage of aged care and hospitalisation data provides valuable information on patterns of health service utilisation among aged care service recipients. Many aged care datasets in Australia contain a Statisti...

    Authors: Lee K Taylor, Katie Irvine, Renee Iannotti, Taylor Harchak and Kim Lim
    Citation: BMC Medical Informatics and Decision Making 2014 14:85
  19. Syndromic surveillance in emergency departments (EDs) may be used to deliver early warnings of increases in disease activity, to provide situational awareness during events of public health significance, to su...

    Authors: Henning TG Liljeqvist, David Muscatello, Grant Sara, Michael Dinh and Glenda L Lawrence
    Citation: BMC Medical Informatics and Decision Making 2014 14:84
  20. Adverse drug reactions and adverse drug events (ADEs) are major public health issues. Many different prospective tools for the automated detection of ADEs in hospital databases have been developed and evaluate...

    Authors: Grégoire Ficheur, Emmanuel Chazard, Jean-Baptiste Beuscart, Béatrice Merlin, Michel Luyckx and Régis Beuscart
    Citation: BMC Medical Informatics and Decision Making 2014 14:83
  21. Asthma is one of the most common childhood illnesses. Guideline-driven clinical care positively affects patient outcomes for care. There are several asthma guidelines and reminder methods for implementation to...

    Authors: Judith W Dexheimer, Elizabeth M Borycki, Kou-Wei Chiu, Kevin B Johnson and Dominik Aronsky
    Citation: BMC Medical Informatics and Decision Making 2014 14:82
  22. Gender differences in communication styles between clinicians and patients have been postulated to impact patient care, but the extent to which the gender dyad structure impacts outcomes in shared decision mak...

    Authors: Kirk D Wyatt, Megan E Branda, Jonathan W Inselman, Henry H Ting, Erik P Hess, Victor M Montori and Annie LeBlanc
    Citation: BMC Medical Informatics and Decision Making 2014 14:81
  23. Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the c...

    Authors: Zhuo Zhang, Ruchir Srivastava, Huiying Liu, Xiangyu Chen, Lixin Duan, Damon Wing Kee Wong, Chee Keong Kwoh, Tien Yin Wong and Jiang Liu
    Citation: BMC Medical Informatics and Decision Making 2014 14:80
  24. Medication non-adherence is prevalent. We assessed the effect of electronic prescribing (e-prescribing) with formulary decision support on preferred formulary tier usage, copayment, and concomitant adherence.

    Authors: Joshua M Pevnick, Ning Li, Steven M Asch, Cynthia A Jackevicius and Douglas S Bell
    Citation: BMC Medical Informatics and Decision Making 2014 14:79
  25. In resource-poor countries access to essential medicines, suboptimal prescribing and use of medicines are major problems. Health workers lack updated medical information and treatment support. Information and ...

    Authors: Jessica Nilseng, Lars L Gustafsson, Amos Nungu, Pia Bastholm-Rahmner, Dennis Mazali, Björn Pehrson and Jaran Eriksen
    Citation: BMC Medical Informatics and Decision Making 2014 14:78
  26. Clinical practice guidelines are useful for physicians, and guidelines are available on the Internet from various websites such as Vidal Recos. However, these guidelines are long and difficult to read, especia...

    Authors: Suzanne Pereira, Sylvain Hassler, Saliha Hamek, César Boog, Nicolas Leroy, Marie-Catherine Beuscart-Zéphir, Madeleine Favre, Alain Venot, Catherine Duclos and Jean-Baptiste Lamy
    Citation: BMC Medical Informatics and Decision Making 2014 14:77
  27. Various types of framing can influence risk perceptions, which may have an impact on treatment decisions and adherence. One way of framing is the use of verbal terms in communicating the probabilities of treat...

    Authors: Roland Brian Büchter, Dennis Fechtelpeter, Marco Knelangen, Martina Ehrlich and Andreas Waltering
    Citation: BMC Medical Informatics and Decision Making 2014 14:76
  28. The key aim of triage in chest pain patients is to identify those with high risk of adverse cardiac events as they require intensive monitoring and early intervention. In this study, we aim to discover the mos...

    Authors: Nan Liu, Zhi Xiong Koh, Junyang Goh, Zhiping Lin, Benjamin Haaland, Boon Ping Ting and Marcus Eng Hock Ong
    Citation: BMC Medical Informatics and Decision Making 2014 14:75
  29. Accurate prediction of adverse drug events (ADEs) is an important means of controlling and reducing drug-related morbidity and mortality. Since no single “gold standard” ADE data set exists, a range of differe...

    Authors: Aurel Cami and Ben Y Reis
    Citation: BMC Medical Informatics and Decision Making 2014 14:74
  30. Women diagnosed with early stage (I or II) breast cancer face a highly challenging decision – whether or not to undergo adjuvant chemotherapy. We developed a decision quality instrument for chemotherapy for ea...

    Authors: Clara N Lee, Matthew H Wetschler, Yuchiao Chang, Jeffrey K Belkora, Beverly Moy, Ann Partridge and Karen R Sepucha
    Citation: BMC Medical Informatics and Decision Making 2014 14:73
  31. Guidelines for colorectal cancer screening recommend that patients be informed about options and be able to select preferred method of screening; however, there are no existing measures available to assess whe...

    Authors: Karen R Sepucha, Sandra Feibelmann, Carol Cosenza, Carrie A Levin and Michael Pignone
    Citation: BMC Medical Informatics and Decision Making 2014 14:72
  32. Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an effici...

    Authors: Xavier Blanc, Tinh-Hai Collet, Reto Auer, Roland Fischer, Isabella Locatelli, Pablo Iriarte, Jan Krause, France Légaré and Jacques Cornuz
    Citation: BMC Medical Informatics and Decision Making 2014 14:71
  33. Errors in the decision-making process are probably the main threat to patient safety in the prehospital setting. The reason can be the change of focus in prehospital care from the traditional “scoop and run” p...

    Authors: Magnus Andersson Hagiwara, Björn-Ove Suserud, Boel Andersson-Gäre, Bengt- Arne Sjöqvist, Maria Henricson and Anders Jonsson
    Citation: BMC Medical Informatics and Decision Making 2014 14:70
  34. In an attempt to address a complex disease burden, including improving progress towards MDGs 4 and 5, South Africa recently introduced a re-engineered Primary Health Care (PHC) strategy, which has led to the d...

    Authors: Sunisha Neupane, Willem Odendaal, Irwin Friedman, Waasila Jassat, Helen Schneider and Tanya Doherty
    Citation: BMC Medical Informatics and Decision Making 2014 14:69
  35. We aimed to evaluate the effect of a decision aid (DA) with information only compared to a DA with values clarification exercise (VCE), and to study the role of personality and information seeking style in DA-...

    Authors: Mirjam M Garvelink, Moniek M ter Kuile, Anne M Stiggelbout and Marieke de Vries
    Citation: BMC Medical Informatics and Decision Making 2014 14:68
  36. To estimate the amount of regret and weights of harm by omission and commission during therapeutic decisions for smear-negative pulmonary Tuberculosis.

    Authors: Chandrashekhar T Sreeramareddy, Mahbubur Rahman, HN Harsha Kumar, Mohsin Shah, Ahmed Manadir Hossain, Md Abu Sayem, Juan M Moreira and Jef Van den Ende
    Citation: BMC Medical Informatics and Decision Making 2014 14:67
  37. Virtual Patients are a well-known and widely used form of interactive software used to simulate aspects of patient care that students are increasingly less likely to encounter during their studies. However, to...

    Authors: Marcus D Bloice, Klaus-Martin Simonic and Andreas Holzinger
    Citation: BMC Medical Informatics and Decision Making 2014 14:66
  38. Readmissions after hospital discharge are a common occurrence and are costly for both hospitals and patients. Previous attempts to create universal risk prediction models for readmission have not met with succ...

    Authors: Courtney Hebert, Chaitanya Shivade, Randi Foraker, Jared Wasserman, Caryn Roth, Hagop Mekhjian, Stanley Lemeshow and Peter Embi
    Citation: BMC Medical Informatics and Decision Making 2014 14:65
  39. Numerous information models for electronic health records, such as openEHR archetypes are available. The quality of such clinical models is important to guarantee standardised semantics and to facilitate their...

    Authors: Michael Braun, Alexander Ulrich Brandt, Stefan Schulz and Martin Boeker
    Citation: BMC Medical Informatics and Decision Making 2014 14:64
  40. Finding quality consumer health information online can effectively bring important public health benefits to the general population. It can empower people with timely and current knowledge for managing their h...

    Authors: Licong Cui, Rong Xu, Zhihui Luo, Susan Wentz, Kyle Scarberry and Guo-Qiang Zhang
    Citation: BMC Medical Informatics and Decision Making 2014 14:63
  41. Patient decision aids (PtDA) are developed to facilitate informed, value-based decisions about health. Research suggests that even when informed with necessary evidence and information, cognitive errors can pr...

    Authors: Nick Bansback, Linda C Li, Larry Lynd and Stirling Bryan
    Citation: BMC Medical Informatics and Decision Making 2014 14:62
  42. E-health initiatives hold promise to improve shared-care models of health care. In 2008–2011 we developed and trialled web-based software to facilitate a randomised trial of a shared-care approach for childhoo...

    Authors: Kate Lycett, Gary Wittert, Jane Gunn, Cathy Hutton, Susan A Clifford and Melissa Wake
    Citation: BMC Medical Informatics and Decision Making 2014 14:61
  43. To design and test a web-based self-management tool for patients with type 2 diabetes for its usability and feasibility.

    Authors: Catherine H Yu, Janet A Parsons, Susan Hall, David Newton, Aleksandra Jovicic, Danielle Lottridge, Baiju R Shah and Sharon E Straus
    Citation: BMC Medical Informatics and Decision Making 2014 14:60
  44. Arthritis and musculoskeletal conditions are the leading cause of long-term work disability (WD), an outcome with a major impact on quality of life and a high cost to society. The importance of decreased at-wo...

    Authors: Erin C Carruthers, Pamela Rogers, Catherine L Backman, Charles H Goldsmith, Monique A Gignac, Carlo Marra, Judy Village, Linda C Li, John M Esdaile and Diane Lacaille
    Citation: BMC Medical Informatics and Decision Making 2014 14:59
  45. This paper presents the design, development and first evaluation of an algorithm, named Intelligent Therapy Assistant (ITA), which automatically selects, configures and schedules rehabilitation tasks for patie...

    Authors: Javier Solana, César Cáceres, Alberto García-Molina, Paloma Chausa, Eloy Opisso, Teresa Roig-Rovira, Ernestina Menasalvas, José M Tormos-Muñoz and Enrique J Gómez
    Citation: BMC Medical Informatics and Decision Making 2014 14:58
  46. Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is un...

    Authors: Rahul S Mhaskar, Hesborn Wao, Helen Mahony, Ambuj Kumar and Benjamin Djulbegovic
    Citation: BMC Medical Informatics and Decision Making 2014 14:57
  47. Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systemati...

    Authors: Sharon Mickan, Helen Atherton, Nia Wyn Roberts, Carl Heneghan and Julie K Tilson
    Citation: BMC Medical Informatics and Decision Making 2014 14:56
  48. The development and validation of automated electronic medical record (EMR) search strategies are important for establishing the timing of mechanical ventilation initiation in the intensive care unit (ICU).

    Authors: Nathan J Smischney, Venu M Velagapudi, James A Onigkeit, Brian W Pickering, Vitaly Herasevich and Rahul Kashyap
    Citation: BMC Medical Informatics and Decision Making 2014 14:55
  49. Since the introduction of electronic nursing documentation systems, its implementation in recent years has increased rapidly in Germany. The objectives of such systems are to save time, to improve information ...

    Authors: Anne Meißner and Wilfried Schnepp
    Citation: BMC Medical Informatics and Decision Making 2014 14:54

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