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Research in the Alison E. Turnbull Lab focuses on patient-clinician interactions. We study decision-making processes for ICU patients and their families and focus on the long-term outcomes of ICU survivors. Additional research examines ways to improve end-of-life care for patients.
Research in the Ariel Green Lab focuses on informing and improving decisions surrounding the use of invasive medical technologies for older adults with complex medical diseases. Our long-term goals are to conduct epidemiologic research, create public health initiatives, and help shape policies that improve the lives of older adults.
Research in the Caleb Alexander Lab examines prescription drug use. This includes studies of population-based patterns and determinants of pharmaceutical use, clinical decision-making about prescription drugs, and the effect of changes in regulatory and payment policies on pharmaceutical utilization. We have special expertise in conducting survey-based studies and analyzing secondary data sources, including administrative claims, the Medical Expenditure Panel Survey and the National Ambulatory Medical Care Survey.
Researchers in the Charles Holmes Lab study large-scale strategies for improving information for public health decision-making and for developing more effective and efficient health care delivery models. This includes working on strategies to expand access to antiretroviral therapies and services aimed at preventing mother-to-child disease transmission, as well as methods to integrate evolving science into public health policy.
The Cohen Lab studies neural circuits underlying reward, mood and decision making. We seek to understand how neural circuits control fundamental mammalian behaviors. Many disorders, including depression, schizophrenia, drug addiction and Parkinson's disease, appear to involve dysfunction of monoaminergic signaling. Using cell-type-specific tools and well-controlled behavioral tasks in mice, we aim to understand the function of monoaminergic circuits in behavior. We hope these basic discoveries will lead to an understanding of the biology of the brain and better treatments for disorders of the brain.
Research in the James Fackler Lab explores the operational side of the hospital environment, seeking ways to optimize patient care and physician decision-making. Our work includes building a mathematical model of how patients move throughout a hospital, which we believe will help hospitals better predict the influx of emergency cases and therefore optimize resource preparation and scheduling of elective procedures. We also research data acquisition and data mining in the operating room and intensive care unit, with a goal of identifying patterns and trends.
Researchers in the Kathleen Sutcliffe Lab study organizational adaptability, reliability and resilience. Our work examines how factors such as management teams, group dynamics, information search processes, communication and learning processes affect organizational performance. Our team also studies how an organization’s design and culture affect members’ abilities to sense, manage and respond to dynamic demands. Additionally, our work seeks to better understand the factors that promote individual and organizational resilience.
The Laboratory for computational Motor Control studies movement control in humans, including healthy people and people with neurological diseases. We use robotics, brain stimulation and neuroimaging to study brain function. Our long-term goals are to use mathematics to understand: 1) the basic function of the motor structures of the brain including the cerebellum, the basal ganglia and the motor cortex; and 2) the relationship between how our brain controls our movements and how it controls our decisions.
The Lana Lee Lab works to create successful patient-centered care strategies for young individuals living with HIV. We focus in particular on decision making in HIV treatment for youth and on the availability of services for young people living with HIV in the United States and Uganda.
Work in the Peter Terry Lab deals primarily with ethical questions surrounding patientsÕ end-of-life care and decision making. We explore topics such as family involvement in health care decision making, informed consent in clinical medicine and effectiveness of palliative support care. Our team has investigated the development and validation of a family decision-making self-efficacy scale. Our research has also included exploring the ethics around the allocation of lifesaving resources during a disaster.
Work in the Sarah Clever Lab focuses on medical education, patient-provider communication and the role of shared decision-making in patient recovery. We recently examined the ethical dilemmas of caring for “influential” patients whose attributes and characteristics (for example, social status, occupation, or position), coupled with their behavior, have the potential to significantly affect a clinician's judgment or actions.
The Veit Stuphorn Laboratory studies the neurophysiological mechanisms that underlie decision making and self-control. We record the activity of single neurons in awake animals that are engaged in decision-making processes. This allows us to identify the types of signals that neurons in specific parts of the brain represent and the computations they carry out. We also study human subjects in the same tasks with the help of fMRI. These parallel experiments provide comparative information about decision processes in human and non-human primates.
The goals of the Vikram Chib Lab are to understand how the nervous system organizes the control of movement and how incentives motivate our behaviors. To better understand neurobiological control, our researchers are seeking to understand how motivational cues drive our motor actions. We use an interdisciplinary approach that combines robotics with the fields of neuroscience and economics to examine neuroeconomics and decision making, motion and force control, haptics and motor learning, image-guided surgery and soft-tissue mechanics.
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