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.
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Ryan J. Shaw, PhD, RN
2016 -- A simulation tool to support and predict hospital and clinic staffing Health Informatics Journal. 2016 1-10
2015 -- 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
2015 -- PubMed # : 26176640 Willingness of Patients to Use Computers for Health Communication and Monitoring Following Myocardial Infarction. Comput Inform Nurs. September, 2015 33(9); 384-9
2015 -- 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 -- PubMed # : 25613298 Mobile health technology for personalized primary care medicine. Am J Med. June, 2015 128(6); 555-7
2015 -- PubMed # : 25361685 Medication non-adherence after myocardial infarction: an exploration of modifying factors. J Gen Intern Med. January, 2015 30(1); 83-90
2015 -- A telehealth case study: The use of telepresence robot for delivering integrated clinical care Journal of the American Psychiatric Nurses Association. 2015 1-2
2015 -- Applying technology to medication management and adherence In Behavioral Health Care and Technology: Using Science-Based Innovations to Transform Practice edited by Marsch, L. A. and Lord, S. E. and Dallery, J.. 2015; pp. 81-94. : Oxford University Press. 2015 81-94
2014 -- Nursing and mHealth International Journal of Nursing Sciences. December, 2014 1(4); 330-333
Grant Funding (Selected)
Visualizing Real Time Data from Mobile Health TechnologiesInformation Initiative at Duke (iiD) and the Social Science Research Institute (SSRI) at Duke UniversitySummer 2017 Data+05/2017 to 08/2017
Aggregating and Visualizing Environmental Biological Physiological and Outcome Data in Acute Pediatric Traumatic Brain InjuryDuke Center for Applied Genomics & Precision MedicineCAGPM Innovation Award10/2016 to 09/2017Role: 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 statusDuke Clinical Research Institute06/2015 to 06/2017Role: Co-PI
Medication Adherence AlliancePhRMA Foundation07/2015 to 06/2017Role: 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 AppDuke University School of Nursing CNR Small Grant Program03/2016 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)
Kudos to Ryan Shaw and Kris Hauser – Pratt School of Engineering, co-principal investigators, and their entire team for the submission of their NIH R21 application entitled "Toward Telerobotic Nursing." This proposal requests funding for a two-year period with a start date of September 1, 2017.
Ryan Shaw recently published a letter to the editor entitled "Wearable Technology and Long-Term Weight Loss" in the Journal of the American Medical Association. The article was co-authored by Corrine Voils, PhD, with Durham Veterans Affairs Medical Center.
Across the world, patients and health care providers are enjoying technological advances that are transforming health care. However, before these items make it to the marketplace, they have to be developed and tested. Duke University School of Nursing (DUSON) is home to a place for this – the new Duke Health Innovation Lab, an interdisciplinary center for developing and testing pioneering innovations in technology and patient care delivery.
DUSON and Pratt School of Engineering were featured in an article entitled "Researchers developing real life Baymax, aka a personal healthcare assistant" on the Blastr website. The article also includes a video demo of the Tele-Robotic Intelligent Nursing Assistant (TRINA) in action. Click here to real full article.
More than 14 faculty, staff and PhD students presented at the 2016 Gerontological Society of American (GSA) Annual Scientific Meeting in New Orleans, LA. According to GSA, more than 3,600 international experts attended thr premier gathering of gerontologists from both the United States and around the world. Attendees participated in over 450 scientific sessions including symposia, paper and poster presentations.
The following faculty, staff and PhD students presented at the conference:
Ryan Shaw, Michele Kuszajewski and Margie Molloy were recently featured in the News & Observer in an article entitled "Duke officials test, refine robot-nurse." The robot-nurse is a first-generation nursing robot that DUSON and the Duke Pratt School of Engineering students are collaborating on to build and refine.
Congratulations to Ryan Shaw and Karin Reuter-Rice who have received the 2016 Innovation Award for their Duke Center for Applied Genomics and Precision Medicine (CAGPM) proposal entitled "Aggregating and Visualizing Environmental Biological Physiological and Outcome Data in Acute Pediatric Traumatic Brain Injury." This project was awarded at $22,500 for the one-year project period 2016-2017.
Faculty members Melissa Batchelor-Murphy, Rosa Gonzalez-Guarda, Devon Noonan, Schenita Randolph, Karin Reuter-Rice, Cheryl Rodgers, Ryan Shaw and Eleanor Stevenson were recently accepted into the Fall Path to Independence Grant Writing Program co-sponsored by DUSON and the Duke University School of Medicine.
Katherine Pereira publishes article entitled "Implementing an Evidence Based Guideline for Overweight/Obese Adults" in the Journal of Nurse Practitioners. Co-authors included Lorraine K. Perkins, DNP, FNP-BC, family nurse practitioner at Sentara Family Medicine in Williamsburg, Virginia; Ryan J. Shaw, PhD, RN, assistant professor at the Duke University School of Nursing; Gregory J.
The National Institute of Nursing Research, part of the National Institutes of Health, recently awarded Ryan Shaw, PhD, RN, assistant professor for Duke University School of Nursing (DUSON), almost $480,000 for his study titled “From Episodic to Real-Time Care in Diabetes Self-Management.” The study will run for a three-year period.