Ryan J. Shaw, PhD, RN

Current methods for collecting and disseminating patient information are largely ineffective at improving health. Dr. Shaw identifies and optimizes novel, useful methods of collecting, visualizing, and disseminating healthcare data to (1) better inform our understanding of human disease and (2) improve patient and clinical decision-making.

Dr. Shaw is a pioneer in mobile health—the collection and dissemination of information using mobile and wireless devices. These technologies afford researchers, clinicians, and patients a rich stream of real-time information about individuals’ biophysical and behavioral health in everyday environments.

Dr. Shaw works with faculty at Duke’s Schools of Engineering and Medicine to integrate mobile technologies into first-generation care delivery systems. Dr. Shaw was one of the first scientists to demonstrate and publish that patients could feasibly utilize multiple mobile technologies to manage their health. Additionally, he conducted foundational clinical trials to explore how patients and clinicians use mobile health for self-management and care delivery.

Dr. Shaw was the founder and now Director of the new Duke Health Innovation Lab, a multidisciplinary partnership. He was appointed Faculty Lead of Mobile Technology in Precision Medicine and the Nursing School’s representative to Duke’s Entrepreneurship Initiative. By fostering collaborations across scientific, clinical and technical disciplines, Dr. Shaw actively demonstrates how nursing science can shape the future of health care and improve health outcomes.

Academic Program Affiliations
  • PhD in Nursing Program
  • Master of Science in Nursing Program
  • Doctor of Nursing Practice Program
  • PhD - Duke University
  • MS Nursing Informatics - New York University
  • BSN - University of Miami
Research Interests

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.

Awards and Honors
  • 2015 || BAYADA Award for Technological Innovation in Health Professional Education and Practice, Drexel University College of Nursing and Health Professions
  • 2013 || Distinguished Dissertation Award, Duke University School of Nursing
  • 2010 || ThinkSwiss Travel Grant, Swiss Confederation – Institute of Nursing Science, University of Basel
  • 2010 || Top Student Research Poster: “Online Social Networking and Diabetes”, Southern Nursing Research Society Annual Research Conference
  • 2008 || Distinguished Master's student, New York University College of Nursing
  • 2008 || Information Technology Fellowship in Healthcare, Duke Health Technology Solutions & Duke University School of Nursing
  • 2004 || Inducted, Sigma Theta Tau International
  • 2003 || Academic Excellence Award, University of Miami – Jackson Memorial Hospital
  • 2003 || Mary Gaynell Forbes Nursing Scholarship, University of Miami
Areas of Interest
Health Informatics
Mobile Health (mHealth) and eHealth
Representative Publications
  • 2009 -- PubMed # : 19592827 -- Sorensen, L. and Shaw, R. and Casey, E. Patient portals: survey of nursing informaticists. Stud Health Technol Inform. 2009 146 160-5.
  • 2013 -- PubMed # : 23625207 -- Zullig, L. L. and Melnyk, S. D. and Goldstein, K. and Shaw, R. J. and Bosworth, H. B. The role of home blood pressure telemonitoring in managing hypertensive populations. Curr Hypertens Rep. August, 2013 15(4); 346-55. PMC3743229
  • 2012 -- PubMed # : 23304313 -- Johnson, C. M. and Shaw, R. J. A usability problem: conveying health risks to consumers on the internet. AMIA Annu Symp Proc. November, 2012 2012(4); 427-35.
  • 2010 -- PubMed # : 20879622 -- Phillips, B. and Shaw, R. J. and Sullivan, D. T. and Johnson, C. Using virtual environments to enhance nursing distance education. Creat Nurs. August, 2010 16(3); 132-5.
  • 2010 -- PubMed # : 21346998 -- Johnson, C. M. and Nahm, M. and Shaw, R. J. and Dunham, A. and Newby, K. and Dolor, R. and Smerek, M. and Del Fiol, G. and Zhang, J. Can prospective usability evaluation predict data errors? AMIA Annu Symp Proc. November, 2010 2010 346-50. PMC3041437
  • 2011 -- Johnson, C. M. and Corazzini, K. N. and Shaw, R. Assessing the feasibility of using virtual environments in distance education. Knowledge Management & E-Learning: An International Journal. March, 2011 3(1); 5-16.
  • 2009 -- Johnson, C. M. and Vorderstrasse, A. and Shaw, R. Virtual environments in health care higher education. Journal of Virtual Worlds Research. August, 2009 2(2); 2-9.
  • 2011 -- PubMed # : 22066032 -- Shaw, R. J. and Johnson, C. M. Health Information Seeking and Social Media Use on the Internet among People with Diabetes. Online J Public Health Inform. November, 2011 3(1); 3561. PMC3208902
  • 2011 -- PubMed # : 21697705 -- Shaw, R. J. and Ferranti, J. Patient-provider internet portals--patient outcomes and use. Comput Inform Nurs. December, 2011 29(12); 714-8; quiz 719-20.
  • 2012 -- PubMed # : 22107599 -- Shaw, R. and Bosworth, H. B. Baseline medication adherence and blood pressure in a 24-month longitudinal hypertension study. J Clin Nurs. May, 2012 21(9-10); 1401-6. PMC3291791
  • 2012 -- PubMed # : 23257055 -- Shaw, R. and Bosworth, H. Short message service (SMS) text messaging as an intervention medium for weight loss: A literature review. Health Informatics J. December, 2012 18(4); 235-50. PMC3675895
  • 2013 -- Shaw, R. J. and Bosworth, H.B. and Hess, J.C. and Silva, S. and Lipkus, I. and Davis, L.L. and Johnson, C.M. Development of a theoretically driven mHealth short message service (SMS) application for sustaining weight loss. JMIR mHealth and uhealth. 1(1); e5.
  • 2013 -- PubMed # : 23763030 -- Shaw, R. J. and Brion, J. Leadership through the Special Olympics. Nurs Educ Perspect. Mar-Apr, 2013 34(2); 134-5.
  • 2013 -- PubMed # : 24050486 -- Shaw, R. J. and Bosworth, H. B. and Silva, S. S. and Lipkus, I. M. and Davis, L. L. and Sha, R. S. and Johnson, C. M. Mobile health messages help sustain recent weight loss. Am J Med. November, 2013 126(11); 1002-9. PMC3820279
  • 2013 -- PubMed # : 24010683 -- Shaw, R. J. and Kaufman, M. A. and Bosworth, H. B. and Weiner, B. J. and Zullig, L. L. and Lee, S. D. and Kravetz, J. D. and Rakley, S. M. and Roumie, C. L. and Bowen, M. E. and Del Monte, P. S. and Oddone, E. Z. and Jackson, G. L. Organizational factors associated with readiness to implement and translate a primary care based telemedicine behavioral program to improve blood pressure control: the HTN-IMPROVE study. Implement Sci. September, 2013 8(1); 106.
  • 2013 -- PubMed # : 24221839 -- Zullig, L. L. and Shaw, R. J. and Crowley, M. J. and Lindquist, J. and Grambow, S. C. and Peterson, E. and Shah, B. R. and Bosworth, H. B. Association between perceived life chaos and medication adherence in a postmyocardial infarction population. Circ Cardiovasc Qual Outcomes. November, 2013 6(6); 619-25.
  • 2013 -- Dalek, B. The easiest way to stay slim Men's Health. November 24, 2013 .
  • 2013 -- Shaw, R. J. and McDuffie, J. and Hendrix, C. C. and Nagi, A. and Edie, A. and Davis L. L. and Williams, J. W. Jr. Effects of nurse-managed protocols in the outpatient management of adults with chronic conditions. VA-ESP Project #09-010. August, 2013 .
  • 2014 -- PubMed # : 24451083 -- Vorderstrasse, A. and Shaw, R. J. and Blascovich, J. and Johnson, C. M. A theoretical framework for a virtual diabetes self-management community intervention. West J Nurs Res. October, 2014 36(9); 1222-37. PMC4296559
  • 2014 -- PubMed # : 24647384 -- Zullig, L. L. and Sanders, L. L. and Shaw, R. J. and McCant, F. and Danus, S. and Bosworth, H. B. A randomised controlled trial of providing personalised cardiovascular risk information to modify health behaviour. J Telemed Telecare. April, 2014 20(3); 147-52.
  • 2014 -- PubMed # : 24853065 -- Shaw, R. J. and Steinberg, D. M. and Zullig, L. L. and Bosworth, H. B. and Johnson, C. M. and Davis, L. L. mHealth interventions for weight loss: a guide for achieving treatment fidelity. J Am Med Inform Assoc. May, 2014 2014 1-5.
  • 2014 -- PubMed # : 25023250 -- Shaw, R. J. and McDuffie, J. R. and Hendrix, C. C. and Edie, A. and Lindsey-Davis, L. and Nagi, A. and Kosinski, A. S. and Williams Jr, J. W. Effects of nurse-managed protocols in the outpatient management of adults with chronic conditions: a systematic review and meta-analysis. Ann Intern Med. 161(2); 113-21.
  • 2015 -- PubMed # : 25361685 -- Crowley, M. J. and Zullig, L. L. and Shah, B. R. and Shaw, R. J. and Lindquist, J. H. and Peterson, E. D. and Bosworth, H. B. Medication non-adherence after myocardial infarction: an exploration of modifying factors. J Gen Intern Med. January, 2015 30(1); 83-90.
  • 2015 -- Shaw, R. J. and Horvath, M. M. and Leonard, D. and Ferranti, J;. M. and Johnson, C. M. Developing a user-friendly interface for a self-service healthcare research portal: cost-effective usability testing Health Systems. July, 2015 4(2); 151-158.
  • 2015 -- Zullig, L. L. and Shaw, R. J. and Bosworth, H. B. Applying technology to medication management and adherence 2015 81-94.
  • 2014 -- Zhao, N. and Wu, B. and Samples, C. and Shaw, R.J. Mobile technology for healthcare in rural China. International Journal of Nursing Sciences. September, 2014 1(3); 323-324.
  • 2014 -- Samples. C. and Zhao, N. and Shaw, R. J. Nursing and mHealth International Journal of Nursing Sciences. December, 2014 1(4); 330-333.
  • 2014 -- Shaw, R. J. Wearable health monitors not quite there yet. The News & Observer (Raleigh, NC). November 27, 2014 .
  • 2014 -- Shaw, R. J. Technological gadgets cannot change human behavior. Times Union (Albany, NY). November 25, 2014 .
  • 2015 -- PubMed # : 26176640 -- Shaw, R. J. and Zullig, L. L. and Crowley, M. J. and Grambow, S. C. and Lindquist, J. H. and Shah, B. R. and Peterson, E. and Bosworth, H. B. Willingness of Patients to Use Computers for Health Communication and Monitoring Following Myocardial Infarction. Comput Inform Nurs. September, 2015 33(9); 384-9.
  • 2015 -- PubMed # : 25737633 -- Zullig, L. L. and Shaw, R. J. and Shah, B. R. and Peterson, E. D. and Lindquist, J. H. and Crowley, M. J. and Grambow, S. C. and Bosworth, H. B. Patient-provider communication, self-reported medication adherence, and race in a postmyocardial infarction population. Patient Prefer Adherence. February, 2015 9 311-8. PMC4344178
  • 2013 -- PubMed # : 25590119 -- Dedert, E. and McDuffie, J. R. and Swinkels, C. and Shaw, R. J. and Fulton, J. and Allen, K. D. and Datta, S. and Williams, J. W. Jr. Computerized Cognitive Behavioral Therapy for Adults with Depressive or Anxiety Disorders (VA-ESP Project #09-010; 2013) October, 2013 .
  • 2015 -- PubMed # : 25613298 -- Shaw, R. J. and Bonnet, J. P. and Modarai, F. and George, A. and Shahsahebi, M. Mobile health technology for personalized primary care medicine. Am J Med. June, 2015 128(6); 555-7.
  • 2015 -- Vaughn, J. and Shaw, R. J. and Molloy, M. A. A telehealth case study: the use of telepresence robot for delivering integrated clinical care Journal of the American Psychiatric Nurses Association. November, 2015, Epub ahead of print .
  • 2016 -- Perkins, L., Pereira, K., Shaw, R.J., Biernacki, G.J., Thompson, J. Implementing the Evidence-based Guidelines for Overweight/Obese Adults The Journal of Nurse Practitioners. 2016 12(9); e389-3393.
  • 2016 -- PubMed # : 27892900 -- Rudolph, A. and Vaughn, J. and Crego, N. and Hueckel, R. and Kuszajewski, M. and Molloy, M. and Brisson 3rd, R. and Shaw, R. J. Integrating Telepresence Robots Into Nursing Simulation. Nurse Educ. 2016 42(2); E1-E4.
  • 2016 -- Jackson, G.L., Roumie, C.L., Rakley, S.M., Kravetz, J.D., Kirshner, M.A., Del Monte, P.S., Bowen, M.E., Oddone, E.Z., Weiner, B.J., Shaw, R.J., & Bosworth, H.B. Linkage between theory-based measurement of organizational readiness to change and lessons learned conducting partnered research Learning Health Systems. 2016 .
  • 2016 -- PubMed # : 27565168 -- Goode, A. P. and Hall, K. S. and Batch, B. C. and Huffman, K. M. and Hastings, S. N. and Allen, K. D. and Shaw, R. J. and Kanach, F. A. and McDuffie, J. R. and Kosinski, A. S. and Williams Jr, J. W. and Gierisch, J. M. The Impact of Interventions that Integrate Accelerometers on Physical Activity and Weight Loss: A Systematic Review. Ann Behav Med. 2016 51(1); 79-93. PMC5253097
  • 2016 -- Vaughn J, Lister M, Shaw RJ Piloting Augmented Reality Technology to Enhance Realism in Clinical Simulation CIN: Computers Informatics Nursing. 2016 .
  • 2016 -- Chaballout, B., Molloy, M.A., Vaughn, J., Brisson, R., Shaw, R.J Feasibility of augmented reality in clinical simulations: Using Google Glass with manikins JMIR Medical Education. 2016 2(1); e2.
  • 2016 -- DeRienzo, C., Shaw, R.J., Meanor, P., Lada, E., Ferranti, M.J., Tanak, D. A simulation tool to support and predict hospital and clinic staffing Health Informatics Journal. 2016 1-10.
  • 2016 -- PubMed # : 26911820 -- Shaw, R. J. and Steinberg, D. M. and Bonnet, J. and Modarai, F. and George, A. and Cunningham, T. and Mason, M. and Shahsahebi, M. and Grambow, S. C. and Bennett, G. G. and Bosworth, H. B. Mobile health devices: will patients actually use them? J Am Med Inform Assoc. 23(3); 462-6. PMC4901379
  • 2016 -- PubMed # : 26647104 -- Shaw, R. J. and Pollak, K. and Zullig, L. L. and Bennett, G. and Hawkins, K. and Lipkus, I. Feasibility and Smokers' Evaluation of Self-Generated Text Messages to Promote Quitting. Nicotine Tob Res. 18(5); 1206-9.
  • 2016 -- PubMed # : 26001748 -- Shaw, R. J. and Sperber, M. A. and Cunningham, T. Online Social Media as a Curation Tool for Teaching. Nurse Educ. 41(1); 41-5.
  • 2015 -- Vaughn, J, Shaw, R.J., Molloy, M.A. A telehealth case study: The use of telepresence robot for delivering integrated clinical care Journal of the American Psychiatric Nurses Association. 2015 1-2.
  • 2014 -- Ni, Z., Wu, B., Samples, C., Shaw, R.J. Mobile technology for healthcare in rural China International Journal of Nursing Sciences. 2014 1(2); 323-324.
  • 2017 -- Voils, C.I., Shaw, R.J. Wearable Technology and Long-Term Weight Loss Letter to the Editor in the Journal of the American Medical Association. 317(3); 318.
Grant Funding (Selected)
  • A Novel IT Weight Loss Solution to Provide Variable-Ratio Rewards in Real-time
    NIH National Heart Lung and Blood Institute
    R34 PAR-10-005
    08/2015 to 04/2018
    Project Goal To determine the feasibility of using automated algorithms that analyze dietary self-monitoring and interim weight loss data to provide real-time reinforcement using variable-ratio financial incentives
  • Project CLOUD: A CataLyst to Use Data Analytics (CLoUD) for Innovating the DUSON Informatics Program
    Duke University SON CONCEPT Office CATALYST Award
    07/2014 to 06/2015
    Role: PI
    Project Goals: To complete professional development through SAS training in data analytics and visualization of the kind of qualitative data nurse scientists produce, and using this training (as well as Data Analytics Certification in Predictive Modeling) to support the re-design of N418: Database Systems in Healthcare, and to develop a new Data Analytics online course that will be offered by the Healthcare Informatics program. The new course will be grounded in experiential learning principles. The instructor will put out a call to faculty for problems that need to be solved using analytics. Each team of students, working for a faculty client, will produce a viable solution by the end of the course.
  • The Adaptive Leadership Framework in Mobile Health: A Pilot Study for Weight Loss
    Duke University School of Nursing ADAPT Center Small Grant Program (funded by NINR/NIH)
    10/2013 to 09/2014
    Role: Principal Investigator
    Project Goal: This study begins to address the need for patients and clinicians to make meaning and perform adaptive work and approaches from multiple weight loss data (e.g., weight, physical activity, and diet) and barriers to weight loss that are captured in real time through mobile devices.
  • The mHealth@Duke Consortium and Seminar Series (mHealth@Duke Colloquium Grant)
    Duke University School of Nursing
    09/2013 to 08/2014
    Project Goal: To support the mHealth@Duke interdisciplinary consortium to accelerate research on the use of sensors and mobile technology to advance the delivery of health care through improved patient-provider communication and collaborative health care management. Through our consortium of faculty, students and yearly conference, we do this by: 1) providing a venue for education and leadership development in the mHealth space and 2) serve as an incubator for mHealth research by providing a forum for discussing and refining new ideas, identifying funding resources, and serving to build capacity for novel mHealth technologies.
  • The Mobile Health (mHealth) Platform: Development and Feasibility Evaluation
    Duke Center for Personalized and Precision Medicine
    08/2013 to 07/2014
    Project Goal: To begin development of a single unified platform that will collect and deliver multiple domains of real time health and contextual data from various wireless and mobile devices that will allow for intra-individual tailoring and personalization of health interventions.
  • Health Services Research & Development Post-doctoral Training
    Veterans Affairs Office of Academic Affiliations, Health Services Research & Development
    08/2012 to 07/2013
    Role: Nursing Post-doctoral Research Fellow
  • A Three-Month RCT to Sustain Weight-Loss among Obese Persons through Tailored SMS
    National Institutes of Health
    12/2010 to 08/2012
    Role: Principal investigator and trainee
    Project goal: To explore the effects of theoretically targeted mobile phone messages on sustaining weight loss
  • Development and feasibility testing of a targeted weight-loss sustaining text message intervention
    NIH CTSA/Duke Translational Medical Institute pre-doctoral scholarship
    CTSA TL1 RR024126-05
    07/2010 to 09/2010
    Role: Principal Investigator, doctoral trainee
    Project goal: To develop a weight loss sustaining text message intervention and test the feasibility and acceptability among people with obesity.
  • Information and behaviors people with diabetes seek and partake in online
    NIH CTSA/Duke Translational Medical Institute pre-doctoral scholarship
    CTSA TL1 RR024126-05
    07/2009 to 09/2009
    Role: Principal Investigator, Trainee
    Project goal: To determine the health information seeking and social media use on the Internet among people with diabetes
  • From Episodic to Real-Time Care in Diabetes Self-Management
    NIH National Institute of Nursing Research
    06/2016 to 05/2019
    Type 2 diabetes is a serious problem in the U.S. and self-management is critical to control the disease. This study will use mobile health technologies to identify strategies that help patients and health professionals use patient-generated data to help patients better self-manage and overcome challenges with diabetes. The results will serve as a cornerstone for creating tools to help patients better self-manage disease through the use of mobile health technologies and real-time patient-provider collaboration.
  • Visualizing Real Time Data from Mobile Health Technologies
    Information Initiative at Duke (iiD) and the Social Science Research Institute (SSRI) at Duke University
    Summer 2017 Data+
    05/2017 to 08/2017
    Using data from the NIH 1R15NR015890-01 study, a Data+ team of Duke data scientists and students will work with our research team to develop data visualizations and algorithms to make use of self-generated diabetes data from multiple mobile technologies. The Data+ team will learn how to present longitudinal, time series data back to patients and clinicians and will develop algorithms that will allow us to send predictive alerts to patients to facilitate intervention in near real-time. Students will work with an interdisciplinary team including faculty, clinicians and staff that specialize in nursing, medicine, public health, nutrition, biostatistics, and health information technology.
  • Aggregating and Visualizing Environmental Biological Physiological and Outcome Data in Acute Pediatric Traumatic Brain Injury
    Duke Center for Applied Genomics & Precision Medicine
    CAGPM Innovation Award
    10/2016 to 09/2017
    Role: PIs: Shaw and Reuter-Rice
    This study is builds upon a developed prototype (Reuter-Rice, Shaw, et al. 2016 disclosure) to recognize individual responses to acute traumatic brain injury and short-term outcomes. This study will validate the collection of environmental sensor data in acute head-injured children and aggregate that data with biologic (omic and specific biomarkers), physiologic, and outcome data.
  • To develop a mobile application using iPhone’s Researchkit and examine uptake by the general population for people to evaluate their walking endurance and self-reported health status
    Duke Clinical Research Institute
    06/2015 to 06/2017
    Role: Co-PI
  • Medication Adherence Alliance
    PhRMA Foundation
    07/2015 to 06/2017
    Role: Co-I
    Duke University and the Medication Adherence Alliance aim to positively influence public health by improving the research evidence base for medication adherence improvement. The Alliance will engage academic researchers and stakeholders in the healthcare field to enhance the real world implementation and evaluation of adherence strategies and ensure robust dissemination of research findings.
  • The Sixth Vital Sign ResearchKit App
    Duke University School of Nursing CNR Small Grant Program
    03/2016 to 02/2017
    (1) To examine uptake by the general population and targeted subgroups of adults to participate in the 6th Vital Sign iPhone-based study (consent, walk test, self-reported health)/ (2) To measure the 2MWT in an unlimited adult population (spanning the nation, lifespan, continuum of health). (3) To establish mobile-phone based norms for the 2MWT. (4) To increase awareness of the importance of mobility on health, survival and quality of life (indirectly measured)
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