Biomedical and health informatics
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Understanding Patient and Caregiver Work to Support Health Care System Reliability and Quality
Patients and their families face many challenges navigating and managing their care within hospitals and other healthcare environments. Outside of the stress and anxiety linked to a health crisis, patient and their families ... -
Extraction of Clinical Timeline from Discharge Summaries using Neural Networks
Discharge summaries are a concise representation of the most important bits of information about a patient’s time in the hospital. Converting the free-text into a clinical timeline can facilitate accurate assimilation of ... -
Forecasting Medical Patient Length of Stay at Presentation in an Emergency Department Using Machine Learning
Emergency Department (ED) overcrowding has become common across the globe. Among many proposed measures, ED length of stay (LOS) remains the most commonly reported outcome resulting from overcrowding. Predicting patients’ ... -
Using personal health records to promote patient activation in the homebound older adult population
Patient activation, or an individual’s willingness and ability to take actions to maintain their health and wellness, is a primary component of the patient-centered health system. Activated patients are more likely to ... -
Creating a Smartphone Application for Image-Assisted Dietary Assessment among Older Adults with Type 2 Diabetes
In the United States, the population of those aged 65 or over numbered 44.7 million in 2013 and is anticipated to reach approximately 74 million people by 2030. More than one in four people in the United States aged 65 ... -
User-Centered Design of a Collaborative Genetic Variant Interpretation Tool
Precision genomic medicine relies upon accurate variant knowledge. However, laboratories continue to arrive at discordant interpretations for the same genomic test. Gaps, inconsistencies, and siloing of variant knowledge ... -
RNA-seq generates new insights into Leishmania differentiation
Leishmania donovani, an intracellular parasitic trypanosomatid, causes kala-azar, a fatal form of visceral leishmaniasis in humans. Infection occurs through a cycle whereby parasites (promastigote stage) living in the ... -
A Systems Biology Approach to Characterizing Gene Fusion Pathways in Cancer
Gene fusions have long been known to drive cancer. Initial discovery of gene fusions was opportunistic, and functional assessment was done individually and experimentally. There is no comprehensive systems biology approach ... -
Qualitative Assessment of Hot Debriefs for Code Teams at Seattle Children’s Hospital
Seattle Children’s Hospital recently implemented ‘hot debriefs’ for code teams that respond to cardiac or respiratory resuscitation code events. Hot debriefs are meetings immediately after the code event where the code ... -
A Bayesian Network Model of Head and Neck Squamous Cell Carcinoma Incorporating Gene Expression Profiles
Radiation therapy is a treatment for metastatic Head and Neck Squamous Cell Carcinoma, which allows precision targeting of certain groups of lymph nodes. A Bayesian network predictive model was developed aiming to help ... -
Leaf2Tableau: from Clinical Data to Clinical Knowledge Discovery
Leaf2Tableau, a self-service and real-time clinical data visualization pipeline, is designed and developed to handle data visualization requests for queries developed in Leaf, a clinical data explorer developed by University ... -
Predicting Cancer Outcome with Multispectral Tumor Tissue Images
Tumor tissue slides have been used by clinicians to assess cancer patient’s condition and indicate prognosis. Several recent studies have suggested that distribution of important immunological biomarkers on tumor tissue ... -
On Biological Network Visualization: Understanding Challenges, Measuring the Status Quo, and Estimating Saliency of Visual Attributes
Biomedical research increasingly relies on the analysis and visualization of a wide range of collected data. However, for certain research questions, such as those investigating the interconnectedness of biological elements, ... -
Designing and Evaluating a Patient-Driven Application for Patients with Primary Brain Tumors
From the time of diagnosis through treatment and follow-up, patients with primary brain tumors and their caregivers face a multitude of challenges and uncertainties. Many of these challenges and uncertainties have been ... -
A Knowledge-based System for Intelligent Support in Pharmacogenomics Evidence Assessment: Ontology-driven Evidence Representation, Retrieval, Classification and Interpretation
Pharmacogenomics is the study of how genetic variants affect a person’s response to a drug. With great advances to date, pharmacogenomics holds promise as one of the approaches to precision medicine. Yet, the use of ... -
Approaches and Strategy for Cancer Research and Surveillance Data: Integration, Information Pipeline, Data Models, and Informatics Opportunities
The advancement of cancer research, patient care and public health currently rely on acquisition of data from a variety of sources, information-processing activities, and timely access to data that is of acceptable quality ... -
Open-Source Computerized Patient-Reported Outcomes: Case Studies Illustrating Fifteen Years of Evolution
Over a fifteen year period, Patient Reported Outcomes ("PRO") applications to support over forty clinical and research projects have driven the evolution of an open-source computerized PRO system ("cPRO", http://cprohealth.org). ... -
Information extraction from clinical and radiology notes for liver cancer staging
Medical practice involves an astonishing amount of variation across individual clinicians, departments, and institutions. Adding to this condition, with the exponential pace of new discoveries in biomedical research, ... -
Clinical Phenotyping in the Prediction of Pediatric Acute Kidney Injury
Predicting pediatric acute kidney injury is a difficult but important task. Accurate prediction would allow preventative measures to be taken before kidney injury occurs, decreasing the morbidity and mortality associated ... -
Reconfiguring the Everyday: Understanding, Designing, and Supporting Chronic Illness Management
From taking medications at the right time to emotionally dealing with their symptoms, patients who have a chronic illness must manage many facets of their illness. Today, patients often utilize different types of general-purpose ...
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