Research
The Wall Lab
The Wall Lab develops methods in biomedical informatics to disentangle complex conditions that originate in childhood and perpetuate through the life course, including autism and related developmental delays. As healthcare has shifted increasingly to the use of digital technologies for data capture and finer resolutions of genomic scale, the lab has innovated, adapted, and deployed biomedical data science strategies to enable precise and personalized interpretation of high resolution molecular and phenotypic data. In addition, the group has pioneered the use of machine learning and artificial intelligence for fast, quantitative, and mobile detection of neurodevelopmental disorders in children, as well as the use of machine learning systems on wearable devices, such as Google Glass, for real-time "exclinical" therapy. These precision health approaches enable quantitative tracking of progress during treatment throughout an individual's life while building data of a type and scale never before possible.
The Tawfik Lab
The Tawfik lab applies advanced statistical modeling techniques to identify factors that modify the quality of care delivered to children, using multimodal structured and unstructured data from the electronic health record, biological data, and survey results. As a result of the digitization of health care delivery in recent decades, electronic health record metadata can now be leveraged to identify structures and processes that promote high quality healthcare. Areas of interest for the lab include predicting and preventing healthcare provider burnout, measuring and evaluating team structure and dynamics in inpatient pediatrics, evaluating cognitive burden and technology-facilitated interruptions, and predicting and preventing medical errors.
The Pediatric Health Information Sharing Collaborative
Through innovation and advocacy, the Collaborative's goal is to enable effective information sharing across the pediatric and young adult age continuum for both the Stanford enterprise and the national pediatric community. The Collaborative is a multidisciplinary lab that strives to identify, understand, and design solutions for the management of digital health information belonging to pediatric patients and their families. The Collaborative focuses on the “knotty” ethical and technical problems affecting pediatrics, with a particular emphasis on the adolescent and young adult population.