Skip to main content

Articles

Page 50 of 67

  1. 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
    Content type: Research article Published on:

  2. 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
    Content type: Research article Published on:

  3. 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
    Content type: Research article Published on:

  4. 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
    Content type: Research article Published on:

  5. 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
    Content type: Software Published on:

  6. 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
    Content type: Research article Published on:

  7. 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
    Content type: Research article Published on:

  8. 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
    Content type: Research article Published on:

  9. 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
    Content type: Research article Published on:

  10. 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
    Content type: Research article Published on:

  11. 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
    Content type: Research article Published on:

  12. 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
    Content type: Study protocol Published on:

  13. 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
    Content type: Research article Published on:

  14. 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
    Content type: Research article Published on:

  15. 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
    Content type: Research article Published on:

  16. 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
    Content type: Research article Published on:

  17. 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
    Content type: Research article Published on:

  18. Estimating the optimal threshold (and especially the confidence interval) of a quantitative biomarker to be used as a diagnostic test is essential for medical decision-making. This is often done with simple me...

    Authors: Fabien Subtil and Muriel Rabilloud
    Citation: BMC Medical Informatics and Decision Making 2014 14:53
    Content type: Research article Published on:

  19. Control of blood pressure is frequently inadequate in spite of availability of several classes of well tolerated and effective antihypertensive drugs. Several factors, including the use of suboptimal doses of ...

    Authors: Palmira Bernocchi, Simonetta Scalvini, Fabio Bertacchini, Francesca Rivadossi and Maria Lorenza Muiesan
    Citation: BMC Medical Informatics and Decision Making 2014 14:52
    Content type: Research article Published on:

  20. To demonstrate that subject selection based on sufficient laboratory results and medication orders in electronic health records can be biased towards sick patients.

    Authors: Alexander Rusanov, Nicole G Weiskopf, Shuang Wang and Chunhua Weng
    Citation: BMC Medical Informatics and Decision Making 2014 14:51
    Content type: Research article Published on:

  21. Hospital-based Emergency Departments are struggling to provide timely care to a steadily increasing number of unscheduled ED visits. Dwindling compensation and rising ED closures dictate that meeting this chal...

    Authors: Joshua E Hurwitz, Jo Ann Lee, Kenneth K Lopiano, Scott A McKinley, James Keesling and Joseph A Tyndall
    Citation: BMC Medical Informatics and Decision Making 2014 14:50
    Content type: Research article Published on:

  22. As a part of nationwide healthcare reforms, the Chinese government launched web-based appointment systems (WAS) to provide a solution to problems around outpatient appointments and services. These have been in...

    Authors: MinMin Zhang, CongXin Zhang, QinWen Sun, QuanCai Cai, Hua Yang and YinJuan Zhang
    Citation: BMC Medical Informatics and Decision Making 2014 14:49
    Content type: Research article Published on:

  23. Intego is the only operational computerized morbidity registration network in Belgium based on general practice data. Intego collects data from over 90 general practitioners. All the information is routinely c...

    Authors: Carla Truyers, Geert Goderis, Harrie Dewitte, Marjan vanden Akker and Frank Buntinx
    Citation: BMC Medical Informatics and Decision Making 2014 14:48
    Content type: Research article Published on:

  24. According to the threshold model, when faced with a decision under diagnostic uncertainty, physicians should administer treatment if the probability of disease is above a specified threshold and withhold treat...

    Authors: Benjamin Djulbegovic, Shira Elqayam, Tea Reljic, Iztok Hozo, Branko Miladinovic, Athanasios Tsalatsanis, Ambuj Kumar, Jason Beckstead, Stephanie Taylor and Janice Cannon-Bowers
    Citation: BMC Medical Informatics and Decision Making 2014 14:47
    Content type: Research article Published on:

  25. Evidence indicates that post − stroke rehabilitation improves function, independence and quality of life. A key aspect of rehabilitation is the provision of appropriate information and feedback to the learner.

    Authors: Jack Parker, Susan Mawson, Gail Mountain, Nasrin Nasr and Huiru Zheng
    Citation: BMC Medical Informatics and Decision Making 2014 14:46
    Content type: Research article Published on:

  26. Antimicrobial resistance poses a threat to patient safety worldwide. To stop antimicrobial resistance, Antimicrobial Stewardship Programs (ASPs; programs for optimizing antimicrobial use), need to be implement...

    Authors: Jobke Wentzel, Lex van Velsen, Maarten van Limburg, Nienke de Jong, Joyce Karreman, Ron Hendrix and Julia Julia Elisabeth Wilhelmina Cornelia van Gemert-Pijnen
    Citation: BMC Medical Informatics and Decision Making 2014 14:45
    Content type: Research article Published on:

  27. In the age of big data in healthcare, automated comparison of medical diagnoses in large scale databases is a key issue. Our objectives were: 1) to formally define and identify cases of independence between la...

    Authors: Agathe Lamarche-Vadel, Gérard Pavillon, Albertine Aouba, Lars Age Johansson, Laurence Meyer, Eric Jougla and Grégoire Rey
    Citation: BMC Medical Informatics and Decision Making 2014 14:44
    Content type: Research article Published on:

  28. Health information systems (HISs) hold the promise to transform health care; however, their adoption is challenged. We have developed the Clinical Adoption Meta-Model (CAMM) to help describe processes and poss...

    Authors: Morgan Price and Francis Lau
    Citation: BMC Medical Informatics and Decision Making 2014 14:43
    Content type: Correspondence Published on:

  29. Claims data has usually been used in recent studies to identify cases of healthcare-associated infection. However, several studies have indicated that the ICD-9-CM codes might be inappropriate for identifying ...

    Authors: Tsung-Hsien Yu, Yu-Chang Hou, Kuan-Chia Lin and Kuo-Piao Chung
    Citation: BMC Medical Informatics and Decision Making 2014 14:42
    Content type: Research article Published on:

  30. The aim of this study was to propose an analytical approach to develop high-performing predictive models for congestive heart failure (CHF) readmission using an operational dataset with incomplete records and ...

    Authors: Samir E AbdelRahman, Mingyuan Zhang, Bruce E Bray and Kensaku Kawamoto
    Citation: BMC Medical Informatics and Decision Making 2014 14:41
    Content type: Research article Published on:

  31. Untimely, incomplete and inaccurate data are common challenges in planning, monitoring and evaluation of health sector performance, and health service delivery in many sub-Saharan African settings. We document...

    Authors: Vincent Micheal Kiberu, Joseph KB Matovu, Fredrick Makumbi, Carol Kyozira, Eddie Mukooyo and Rhoda K Wanyenze
    Citation: BMC Medical Informatics and Decision Making 2014 14:40
    Content type: Research article Published on:

  32. Providing scalable clinical decision support (CDS) across institutions that use different electronic health record (EHR) systems has been a challenge for medical informatics researchers. The lack of commonly s...

    Authors: Nadim Anani, Rong Chen, Tiago Prazeres Moreira and Sabine Koch
    Citation: BMC Medical Informatics and Decision Making 2014 14:39
    Content type: Technical advance Published on:

  33. We developed an algorithm for the identification of patients with type 2 diabetes and ascertainment of the date of diabetes onset for examination of the temporal relationship between diabetes and cancer using ...

    Authors: Adedayo A Onitilo, Rachel V Stankowski, Richard L Berg, Jessica M Engel, Gail M Williams and Suhail A Doi
    Citation: BMC Medical Informatics and Decision Making 2014 14:38
    Content type: Research article Published on:

  34. Extracting cardiorespiratory signals from non-invasive and non-contacting sensor arrangements, i.e. magnetic induction sensors, is a challenging task. The respiratory and cardiac signals are mixed on top of a ...

    Authors: Jerome Foussier, Daniel Teichmann, Jing Jia, Berno Misgeld and Steffen Leonhardt
    Citation: BMC Medical Informatics and Decision Making 2014 14:37
    Content type: Technical advance Published on:

  35. Obesity and overweight are multifactorial diseases that affect two thirds of Americans, lead to numerous health conditions and deeply strain our healthcare system. With the increasing prevalence and dangers as...

    Authors: Caryn Roth, Randi E Foraker, Philip RO Payne and Peter J Embi
    Citation: BMC Medical Informatics and Decision Making 2014 14:36
    Content type: Research article Published on:

  36. The health sector is faced with constant changes as new approaches to tackle illnesses are unveiled through research. Information, communication and technology have greatly transformed healthcare practice the ...

    Authors: Mathew K Kipturgo, Lucy W Kivuti-Bitok, Ann K Karani and Margaret M Muiva
    Citation: BMC Medical Informatics and Decision Making 2014 14:35
    Content type: Research article Published on:

  37. Aboriginal Australians experience significantly worse health and a higher burden of chronic disease than non-Aboriginal Australians. Electronic self-report data collection is a systematic means of collecting d...

    Authors: Natasha E Noble, Christine L Paul, Mariko L Carey, Robert W Sanson-Fisher, Stephen V Blunden, Jessica M Stewart and Katherine M Conigrave
    Citation: BMC Medical Informatics and Decision Making 2014 14:34
    Content type: Research article Published on:

  38. Preconception care may be an efficacious tool to reduce risk factors for adverse pregnancy outcomes that are associated with lifestyles and health status before pregnancy. We conducted a web-based cohort study...

    Authors: Eleonora Agricola, Elisabetta Pandolfi, Michaela V Gonfiantini, Francesco Gesualdo, Mariateresa Romano, Emanuela Carloni, Pierpaolo Mastroiacovo and Alberto E Tozzi
    Citation: BMC Medical Informatics and Decision Making 2014 14:33
    Content type: Research article Published on:

  39. Our study aims to assess the influence of data quality on computed Dutch hospital quality indicators, and whether colorectal cancer surgery indicators can be computed reliably based on routinely recorded data ...

    Authors: Kathrin Dentler, Ronald Cornet, Annette ten Teije, Pieter Tanis, Jean Klinkenbijl, Kristien Tytgat and Nicolette de Keizer
    Citation: BMC Medical Informatics and Decision Making 2014 14:32
    Content type: Research article Published on:

  40. A cloud-based clinical decision support system (CDSS) was implemented to remotely provide evidence-based guideline reminders in support of preventative health. Following implementation, we measured the agreeme...

    Authors: Brian Edward Dixon, Linas Simonaitis, Susan M Perkins, Adam Wright and Blackford Middleton
    Citation: BMC Medical Informatics and Decision Making 2014 14:31
    Content type: Research article Published on:

  41. The ever increasing volume of referrals from primary care to specialist services is putting considerable pressure on resource-constrained health services while effective communication across fragmented service...

    Authors: Matt-Mouley Bouamrane and Frances S Mair
    Citation: BMC Medical Informatics and Decision Making 2014 14:30
    Content type: Research article Published on:

  42. Approximately one-third of those treated curatively for colorectal cancer (CRC) will experience recurrence. No evidence-based consensus exists on how best to follow patients after initial treatment to detect a...

    Authors: Johnie Rose, Knut Magne Augestad, Chung Yin Kong, Neal J Meropol, Michael W Kattan, Qingqing Hong, Xuebei An and Gregory S Cooper
    Citation: BMC Medical Informatics and Decision Making 2014 14:29
    Content type: Research article Published on:

  43. Identification of potentially preventable readmissions is typically accomplished through manual review or automated classification. Little is known about the concordance of these methods.

    Authors: Ana H Jackson, Emily Fireman, Paul Feigenbaum, Estee Neuwirth, Patricia Kipnis and Jim Bellows
    Citation: BMC Medical Informatics and Decision Making 2014 14:28
    Content type: Research article Published on:

  45. To investigate whether factors can be identified that significantly affect hospital length of stay from those available in an electronic patient record system, using primary total knee replacements as an examp...

    Authors: Evelene M Carter and Henry WW Potts
    Citation: BMC Medical Informatics and Decision Making 2014 14:26
    Content type: Research article Published on:

  46. Patients are increasingly expected and asked to be involved in health care decisions. In this decision-making process, preferences for participation are important. In this systematic review we aim to provide a...

    Authors: Linda Brom, Wendy Hopmans, H Roeline W Pasman, Danielle RM Timmermans, Guy AM Widdershoven and Bregje D Onwuteaka-Philipsen
    Citation: BMC Medical Informatics and Decision Making 2014 14:25
    Content type: Research article Published on:

  47. Ensuring that all cancer patients have access to the appropriate treatment within an appropriate time is a strategic priority in many countries. There is in particular a need to describe and analyse cancer car...

    Authors: Gautier Defossez, Alexandre Rollet, Olivier Dameron and Pierre Ingrand
    Citation: BMC Medical Informatics and Decision Making 2014 14:24
    Content type: Research article Published on:

  48. Record linkage techniques are widely used to enable health researchers to gain event based longitudinal information for entire populations. The task of record linkage is increasingly being undertaken by specia...

    Authors: James H Boyd, Sean M Randall, Anna M Ferrante, Jacqueline K Bauer, Adrian P Brown and James B Semmens
    Citation: BMC Medical Informatics and Decision Making 2014 14:23
    Content type: Correspondence Published on:

  49. Establishing day-case surgery as the preferred hospital admission route for all eligible patients requires adequate preoperative assessment of patients in order to quickly distinguish those who will require mi...

    Authors: Matt-Mouley Bouamrane and Frances S Mair
    Citation: BMC Medical Informatics and Decision Making 2014 14:22
    Content type: Research article Published on:

  50. Despite the growing evidence of the benefits of physical activity (PA) in individuals with rheumatoid arthritis (RA), the majority is not physically active enough. An innovative strategy is to engage lead user...

    Authors: Åsa Revenäs, Christina H Opava and Pernilla Åsenlöf
    Citation: BMC Medical Informatics and Decision Making 2014 14:21
    Content type: Research article Published on:
Submit manuscript

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

Follow

Sign up for article alerts and news from this journal

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us