Ryan Shaw
Elizabeth C. Clipp Term Chair of Nursing

Dr. Ryan Shaw is an Assistant Professor in the School of Nursing with interdisciplinary training in nursing, health informatics, and computer science. He is affiliated with the Duke Center for Health Informatics and the Duke Center for Personalized and Precision Medicine. His research focuses on the science of patient-generated data. This entails discovering how to improve health outcomes and care delivery through the use of data from wearable technologies, sensors embedded in the environment, and electronic health records.

Research Overview:  Healthcare as we know it is delivered in episodic phases. A patient comes to the clinic, clinicians collect their biophysical and behavioral health data, compare it to the patient’s history, and analyze that data to make informed diagnoses and care recommendations. This structure relies on single data points that are collected in a specific setting that a patient spends very little time in overall. To have a true picture of a patient’s health, the clinician would have access to the biological, behavioral, environmental, social networking, and contextual data of the patient in their everyday lives – every day, every hour, and everywhere. Moreover, this data would be available in “real-time”.

With the proliferation of mobile devices, notably smartphones and other wearable sensors, the potential to collect this real-time digital health data is now possible. Geographic location is rarely a barrier, and with the near universal access to smartphones we are able to transcend the traditional socioeconomic barriers previously faced. This has the potential to yield new insights into disease processes and enhance our understanding of the longitudinal effects of care delivery, medications, and health behaviors.

My work explores how data science and care teams will make it possible to use these data to improve health outcomes and care delivery. I discover how to integrate data from these new technologies into electronic health records and leverage predictive analytics to forecast patient needs.

Current Appointments & Affiliations

Contact Information

  • 307 Trent Dr., 1055 Clipp, Durham, NC 27710
  • School of Nursing, 3152, Durham, NC 27710

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