Specializing at the intersection of clinical medicine, informatics and innovation.
Improving clinical practice and patient outcomes through human-centered machine learning and decision support at the point of care whether at home or abroad.
Recent Projects
From rethinking the way we come home - so we can protect our families - or how we address death and dying in the hospital when we can’t sit at our loved one’s bedside, the Emergency Design Collective aims to take a holistic, human-centered approach to rapid responses to urgent public health crises through design, multidisciplinary collaboration, and innovation.
What do you do when recommendations change by the moment, in real-time to evolving evidence in a pandemic? When the signal-to-noise ratio gets too low for clinicians to make meaningful, assured decisions, the only answer is to make it easier to find the right information for the right place at the right time. CovidSurge.org aimed to help healthcare professionals to plan, install, and run additional hospital capacity for the ongoing COVID-19 emergency.
CovidSurge.org
Stanford University
HealthRex Lab
Stanford University
Audit logs are used by most online retailers and device companies to help shape the customer experience. However, this data has not often been used to guide practitioners’ experiences in the EHR. Whether recommending next actions based on prior experience or helping to improve quality through streamlining of care processes, we help to illuminate and utilize this heretofore untapped resource.
Emergencies can happen any time and anywhere. They are a predominant portion of morbidity and mortality, worldwide - with the young and those in remote locations representing an unequal burden of disease. It is estimated that half of these life years lost could be prevented with basic emergency medical services. We aim to help train providers and provide them with the tools they need to treat the most severely ill patients at the point of care.
Medical credentialing is broken. It takes months and thousands of dollars to complete primary source verification of a physician’s credentials. We set out to improve transparency and decrease the time needed to onboard medical providers while giving them back control of their private information.
Patient centered outcomes often assume that we know what patients expect when they come to medical providers for care. Most metrics are derived by outcomes that may not represent the needs of the patient where they are in their medical journey. We aim to help patients navigate this system by allowing them to define their own outcomes interest so that we can help them reach their goals.