Biomedical and health informatics
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Assessing the utility of digital health technology to improve our capacity to assess and intervene in depression
When it comes to mental health, no country is considered developed. In the last decade, the burden of mental health disorders (MHD) has risen in all countries due to disparities in timely diagnosis and access to evidence-based ... -
Predictive Approaches for Acute Adverse Events in Electronic Health Records
Medical errors have been cited as the third leading cause of death in the United States in 2013. Failure to rescue (FTR) is a subtype of medical errors and refers to the loss of an opportunity to save a patient’s life after ... -
Developing and Evaluating a Prototype Communicable Disease Web-based Clinical Reporting Tool
Reporting reportable diseases within a timeframe is considered a cornerstone of any public health surveillance system. The purpose of surveillance is to empower decision makers to act by providing timely and accurate data. ... -
Design, Development, and Evaluation of a Patient-Centered Health Dialog System to Support Inguinal Hernia Surgery Patient Information-Seeking
Surgery patients engage in health information-seeking activities to better understand their health conditions. An example of this activity is patients collecting data outside of the hospital to track their surgery recovery. ... -
Supporting collaborative goal-setting for hospitalized adolescent patients
Collaborative goal-setting is an effective way to encourage patient engagement and facilitate patient-provider communication. However, few studies have explored how hospitalized patients understand and use collaborative ... -
A New Perspective on Minimally Invasive Procedures: Exploring the Utility of a Novel Virtual Reality Endovascular Navigation System
Digital information is playing a larger role in the treatment of disease. Invasive procedures, such as open-heart surgery, have evolved into minimally invasive procedures that benefit from reduced trauma, scarring and ... -
A Wireframe Representation of a Prototype Clinical Decision Support Tool For the Management of Cardiometabolic Disorder and Diabetes Type 2
This research developed a wireframe representation of a prototype Clinical Decision Support Tool that enables the comprehensive, efficient and efficacious management of patients with Cardiometabolic Disorder and Diabetes ... -
An Evaluation of the Insidious Consequences of Clinical Computing Infrastructure Failures at a Large Academic Medical Center
Electronic Health Records (EHRs) are intended to make healthcare delivery safer, more effective and accountable. They are complex socio-technical systems that are dependent on the proper functioning of many individual ... -
The Untold Story of Predicting Readmissions for Heart Failure Patients
The availability and accessibility of Electronic Health Record (EHR) data create an opportunity for researchers to revolutionize healthcare. The recognition of the importance of secondary use of EHR data has led to the ... -
Using Smart Watches to Facilitate High Quality Cardiopulmonary Resuscitation for Patients with Cardiac Arrest
Survival rates for victims of cardiac arrest remain poor worldwide despite medical advancement and technology development. Chest compression quality has been considered the key for patient survival during cardiopulmonary ... -
Data Mining the Electronic Medical Record with Intelligent Agents to Inform Decision Support Systems
An intelligent agent framework is used on an ICU EMR to create prediction models for disease onset. Eleven models are created to inspect 5 diseases: acute respiratory distress syndrome (ARDS); severe acute hypoxemic ... -
Patient-Peer Support to Improve Quality and Safety in the Hospital
Patient safety is a critical and persistent problem impacting health care systems around the world. Despite major financial and technological investments to improve this problem, medical errors remain a leading cause of ... -
Ontology-driven pathway data integration
Biological pathways are useful tools for understanding human physiology and disease pathogenesis. Pathway analysis can be used to detect genes and functions associated with complex disease phenotypes. When performing pathway ... -
Examining the Feasibility of Internet of Things Technologies to Support Aging-in-Place
The older adult population is one of the fastest growing demographic groups in the United States. Older adults face challenges such as chronic health conditions, reduced mobility, and cognitive decline. Technological ... -
Bicluster-Based Identification of Gene Sets Through Multivariate Meta-Analysis (MVMA)
Omics technologies are among the most exciting developments in biology and medicine in recent decades. They offer a whole new way of investigating a sample or a patient by taking comprehensive molecular-level snapshots. ... -
The Problem of Time: Addressing challenges in spatio-temporal data integration
Across scientific disciplines, an ever-growing proportion of data can be effectively described in spatial terms. As researchers have become comfortable with techniques for dealing with spatial data, the next progression ... -
No Wrong Door: Designing Health Information Technology to Support Interprofessional Collaboration Around Child Development Work
Child development refers to children gaining the skills they need to succeed in life, consisting of abilities in overlapping domains such as speech, motor, social, and cognition. Developmental disabilities are chronic ... -
Immunologic Correlates Analysis of RhCMV/SIV Vaccine Efficacy - Applying Machine Learning Techniques to Model Vaccine Elicited T Cell Responses
In the past 30 years, HIV vaccine studies on traditional CD8+ T cell-targeted HIV vaccines were frustrated by the ineffectiveness of mediating immediate vaccinal interception upon infection acquisition prior to the explosive ... -
Secondary Usage of Electronic Health Record Data for Patient-Specific Modeling
Translational research has become an important bridge that moves findings from basic science research to patients' bedside and to the clinical community. Unfortunately, this notion of translational research seems to be ... -
U-Net for Cerebral Cortical MR Image Segmentation
Cerebral cortex segmentation from three-dimensional structural Magnetic Resonance (MR) brain images plays an important role in measuring loss of cortical tissues for disorders such as Alzheimer's disease (AD). U-Net, a ...
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