Articles
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Citation: BMC Medical Informatics and Decision Making 2015 15:103
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Estimating the value of medical treatments to patients using probabilistic multi criteria decision analysis
Estimating the value of medical treatments to patients is an essential part of healthcare decision making, but is mostly done implicitly and without consulting patients. Multi criteria decision analysis (MCDA)...
Citation: BMC Medical Informatics and Decision Making 2015 15:102 -
Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design
Clinical experts’ cognitive mechanisms for managing complexity have implications for the design of future innovative healthcare systems. The purpose of the study is to examine the constituents of decision comp...
Citation: BMC Medical Informatics and Decision Making 2015 15:101 -
A generic solution for web-based management of pseudonymized data
Collaborative collection and sharing of data have become a core element of biomedical research. Typical applications are multi-site registries which collect sensitive person-related data prospectively, often t...
Citation: BMC Medical Informatics and Decision Making 2015 15:100 -
A systematic review of predictive models for asthma development in children
Asthma is the most common pediatric chronic disease affecting 9.6 % of American children. Delay in asthma diagnosis is prevalent, resulting in suboptimal asthma management. To help avoid delay in asthma diagno...
Citation: BMC Medical Informatics and Decision Making 2015 15:99 -
Rough set theory based prognostic classification models for hospice referral
This paper explores and evaluates the application of classical and dominance-based rough set theory (RST) for the development of data-driven prognostic classification models for hospice referral. In this work,...
Citation: BMC Medical Informatics and Decision Making 2015 15:98 -
EHR based Genetic Testing Knowledge Base (iGTKB) Development
The gap between a large growing number of genetic tests and a suboptimal clinical workflow of incorporating these tests into regular clinical practice poses barriers to effective reliance on advanced genetic t...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S3 -
Cough event classification by pretrained deep neural network
Cough is an essential symptom in respiratory diseases. In the measurement of cough severity, an accurate and objective cough monitor is expected by respiratory disease society. This paper aims to introduce a b...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S2 -
Predictive modeling of structured electronic health records for adverse drug event detection
The digitization of healthcare data, resulting from the increasingly widespread adoption of electronic health records, has greatly facilitated its analysis by computational methods and thereby enabled large-sc...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S1 -
The influence of a biopsychosocial educational internet-based intervention on pain, dysfunction, quality of life, and pain cognition in chronic low back pain patients in primary care: a mixed methods approach
Low back pain is the highest reported musculoskeletal problem worldwide. Up to 90 % of patients with low back pain have no clear explanation for the source and origin of their pain. These individuals commonly ...
Citation: BMC Medical Informatics and Decision Making 2015 15:97 -
How to model temporal changes in comorbidity for cancer patients using prospective cohort data
The presence of comorbid conditions is strongly related to survival and also affects treatment choices in cancer patients. This comorbidity is often quantified by the Charlson Comorbidity Index (CCI) using spe...
Citation: BMC Medical Informatics and Decision Making 2015 15:96 -
Family history assessment for colorectal cancer (CRC) risk analysis - comparison of diagram- and questionnaire-based web interfaces
Colorectal cancer (CRC) has a high incidence, especially in New Zealand. The reasons for this are unknown. While most cancers develop sporadically, a positive family history, determined by the number and age a...
Citation: BMC Medical Informatics and Decision Making 2015 15:95 -
RESTORE: an exploratory trial of a web-based intervention to enhance self-management of cancer-related fatigue: findings from a qualitative process evaluation
Cancer-related fatigue is a distressing symptom experienced by many after cancer treatment. An exploratory randomised controlled trial was conducted to test proof of concept of RESTORE: a web-based tool to enh...
Citation: BMC Medical Informatics and Decision Making 2015 15:94 -
Surveillance of dengue vectors using spatio-temporal Bayesian modeling
At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengu...
Citation: BMC Medical Informatics and Decision Making 2015 15:93 -
A richly interactive exploratory data analysis and visualization tool using electronic medical records
Electronic medical records (EMRs) contain vast amounts of data that is of great interest to physicians, clinical researchers, and medial policy makers. As the size, complexity, and accessibility of EMRs grow, ...
Citation: BMC Medical Informatics and Decision Making 2015 15:92 -
Fine-grained information extraction from German transthoracic echocardiography reports
Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These ...
Citation: BMC Medical Informatics and Decision Making 2015 15:91 -
Development of a decision analytic model to support decision making and risk communication about thrombolytic treatment
Individualised prediction of outcomes can support clinical and shared decision making. This paper describes the building of such a model to predict outcomes with and without intravenous thrombolysis treatment ...
Citation: BMC Medical Informatics and Decision Making 2015 15:90 -
Impact of a decision aid on reducing uncertainty: pilot study of women in their 40s and screening mammography
In 2009 the United States Preventive Services Task Force updated its breast cancer screening guidelines to recommend that average-risk women obtain a screening mammogram every two years starting at age 50 inst...
Citation: BMC Medical Informatics and Decision Making 2015 15:89 -
Archetype relational mapping - a practical openEHR persistence solution
One of the primary obstacles to the widespread adoption of openEHR methodology is the lack of practical persistence solutions for future-proof electronic health record (EHR) systems as described by the openEHR...
Citation: BMC Medical Informatics and Decision Making 2015 15:88 -
Knowledge and attitudes of doctors towards e-health use in healthcare delivery in government and private hospitals in Northern Uganda: a cross-sectional study
E-health is an essential information sharing tool in healthcare management and delivery worldwide. However, utilization of e-health may only be possible if healthcare professionals have positive attitudes towa...
Citation: BMC Medical Informatics and Decision Making 2015 15:87 -
Patient and public views about the security and privacy of Electronic Health Records (EHRs) in the UK: results from a mixed methods study
Although policy discourses frame integrated Electronic Health Records (EHRs) as essential for contemporary healthcare systems, increased information sharing often raises concerns among patients and the public....
Citation: BMC Medical Informatics and Decision Making 2015 15:86 -
Implementing electronic patient record systems (EPRs) into England’s acute, mental health and community care trusts: a mixed methods study
Our aim was to explore the approaches to and the challenges and benefits of implementing Electronic Patient Record systems (EPRs) into NHS acute, mental health and community care hospitals throughout England.
Citation: BMC Medical Informatics and Decision Making 2015 15:85 -
Predicting asthma control deterioration in children
Pediatric asthma affects 7.1 million American children incurring an annual total direct healthcare cost around 9.3 billion dollars. Asthma control in children is suboptimal, leading to frequent asthma exacerba...
Citation: BMC Medical Informatics and Decision Making 2015 15:84 -
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF.
Citation: BMC Medical Informatics and Decision Making 2015 15:83 -
Implementation of multiple-domain covering computerized decision support systems in primary care: a focus group study on perceived barriers
Despite the widespread availability of computerized decision support systems (CDSSs) in various healthcare settings, evidence on their uptake and effectiveness is still limited. Most barrier studies focus on C...
Citation: BMC Medical Informatics and Decision Making 2015 15:82 -
A user needs assessment to inform health information exchange design and implementation
Important barriers for widespread use of health information exchange (HIE) are usability and interface issues. However, most HIEs are implemented without performing a needs assessment with the end users, healt...
Citation: BMC Medical Informatics and Decision Making 2015 15:81 -
Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms
Resources for home care rehabilitation are limited, and many home care clients who could benefit do not receive rehabilitation therapy. The interRAI Contact Assessment (CA) is a new screening instrument compri...
Citation: BMC Medical Informatics and Decision Making 2015 15:80 -
Validity and usability of a professional association’s web-based knowledge translation portal: American Physical Therapy Association’s PTNow.org
PTNow.org is an evidence-based, on-line portal created by a professional membership association to promote use of evidence in practice and to help decrease unwarranted variation in practice. The site contains ...
Citation: BMC Medical Informatics and Decision Making 2015 15:79 -
Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert
We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the i...
Citation: BMC Medical Informatics and Decision Making 2015 15:78 -
Semantic biomedical resource discovery: a Natural Language Processing framework
A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and b...
Citation: BMC Medical Informatics and Decision Making 2015 15:77 -
Decision aids that support decisions about prenatal testing for Down syndrome: an environmental scan
Prenatal screening tests for Down syndrome (DS) are routine in many developed countries and new tests are rapidly becoming available. Decisions about prenatal screening are increasingly complex with each succe...
Citation: BMC Medical Informatics and Decision Making 2015 15:76 -
Implementation of the Austrian Nursing Minimum Data Set (NMDS-AT): A Feasibility Study
An Austrian Nursing Minimum Data Set (NMDS-AT) has been developed to describe the diversity of patient populations and variability of nursing care based on nursing diagnoses, nursing interventions, and nursing...
Citation: BMC Medical Informatics and Decision Making 2015 15:75 -
Using the Analytic Hierarchy Process (AHP) to understand the most important factors to design and evaluate a telehealth system for Parkinson's disease
The assessment of a new health technology is a multidisciplinary and multidimensional process, which requires a complex analysis and the convergence of different stakeholders into a common decision. This task ...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S7 -
A pilot study for development of a novel tool for clinical decision making to identify fallers among ophthalmic patients
Falls in the elderly is a major problem. Although falls have a multifactorial etiology, a commonly cited cause of falls in older people is poor vision. This study proposes a method to discriminate fallers and ...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S6 -
Development of a web-based tool for the assessment of health and economic outcomes of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA)
The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) is a European Commission led policy initiative to address the challenges of demographic change in Europe. For monitoring the health...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S4 -
A contrast between DEMATEL-ANP and ANP methods for six sigma project selection: a case study in healthcare industry
The project selection process is a crucial step for healthcare organizations at the moment of implementing six sigma programs in both administrative and caring processes. However, six-sigma project selection i...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S3 -
Short term Heart Rate Variability to predict blood pressure drops due to standing: a pilot study
Standing from a bed or chair may cause a significant lowering of blood pressure (ΔBP), which may have severe consequences such as, for example, falls in older subjects. The goal of this study was to develop a ...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S2 -
Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease
This paper presents a system for classification of asthma and chronic obstructive pulmonary disease (COPD) based on fuzzy rules and the trained neural network.
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S1 -
A multi-layer monitoring system for clinical management of Congestive Heart Failure
Congestive Heart Failure (CHF) is a serious cardiac condition that brings high risks of urgent hospitalization and death. Remote monitoring systems are well-suited to managing patients suffering from CHF, and ...
Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 3):S5 -
Physicians’ responses to computerized drug interaction alerts with password overrides
Although evidence has suggested that computerized drug-drug interaction alert systems may reduce the occurrence of drug-drug interactions, the numerous reminders and alerts generated by such systems could repr...
Citation: BMC Medical Informatics and Decision Making 2015 15:74 -
Using the Technology Acceptance Model to explore community dwelling older adults’ perceptions of a 3D interior design application to facilitate pre-discharge home adaptations
In the UK occupational therapy pre-discharge home visits are routinely carried out as a means of facilitating safe transfer from the hospital to home. Whilst they are an integral part of practice, there is lit...
Citation: BMC Medical Informatics and Decision Making 2015 15:73 -
User interface design for mobile-based sexual health interventions for young people: Design recommendations from a qualitative study on an online Chlamydia clinical care pathway
The increasing pervasiveness of mobile technologies has given potential to transform healthcare by facilitating clinical management using software applications. These technologies may provide valuable tools in...
Citation: BMC Medical Informatics and Decision Making 2015 15:72 -
Feasibility and impact of a computerised clinical decision support system on investigation and initial management of new onset chest pain: a mixed methods study
Clinical decision support systems (CDSS) can modify clinician behaviour, yet the factors influencing their effect remain poorly understood. This study assesses the feasibility and acceptability of a CDSS suppo...
Citation: BMC Medical Informatics and Decision Making 2015 15:71 -
Basic ICT adoption and use by general practitioners: an analysis of primary care systems in 31 European countries
There is general consensus that appropriate development and use of information and communication technologies (ICT) are crucial in the delivery of effective primary care (PC). Several countries are defining po...
Citation: BMC Medical Informatics and Decision Making 2015 15:70 -
Administrative health data in Canada: lessons from history
Health decision-making requires evidence from high-quality data. As one example, the Discharge Abstract Database (DAD) compiles data from the majority of Canadian hospitals to form one of the most comprehensiv...
Citation: BMC Medical Informatics and Decision Making 2015 15:69 -
SEND: a system for electronic notification and documentation of vital sign observations
Recognising the limitations of a paper-based approach to documenting vital sign observations and responding to national clinical guidelines, we have explored the use of an electronic solution that could improv...
Citation: BMC Medical Informatics and Decision Making 2015 15:68 -
Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective
With the introduction and implementation of a variety of government programs and policies to encourage adoption of electronic medical records (EMRs), EMRs are being increasingly adopted in North America. We so...
Citation: BMC Medical Informatics and Decision Making 2015 15:67 -
The influence of cold weather on the usage of emergency link calls: a case study in Hong Kong
In response to an unexpected long cold spell in February 1996 which killed more than 100 older adults (mostly living alone) in Hong Kong, the Hong Kong Senior Citizen Home Safety Association established a Pers...
Citation: BMC Medical Informatics and Decision Making 2015 15:66 -
Willingness to receive text message medication reminders among patients on antiretroviral treatment in North West Ethiopia: A cross-sectional study
Non-adherence to Antiretroviral Treatment (ART) is strongly associated with virologic rebound and drug resistance. Studies have shown that the most frequently mentioned reason for missing ART doses is the forg...
Citation: BMC Medical Informatics and Decision Making 2015 15:65 -
Justified granulation aided noninvasive liver fibrosis classification system
According to the World Health Organization 130–150 million (according to WHO) of people globally are chronically infected with hepatitis C virus. The virus is responsible for chronic hepatitis that ultimately ...
Citation: BMC Medical Informatics and Decision Making 2015 15:64
Annual Journal Metrics
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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
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Peer-review Terminology
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The following summary describes the peer review process for this journal:
Identity transparency: Single anonymized
Reviewer interacts with: Editor
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