Search Results - "Spaulding, Erin M."

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Using rapid response system trigger clusters to characterize patterns of clinical deterioration among hospitalized adult patients

Piasecki, Rebecca J., Hunt, Elizabeth A., Perrin, Nancy, Spaulding, Erin M., Winters, Bradford, Samuel, Laura, Davidson, Patricia M., Chandra Strobos, Nisha, Churpek, Matthew, Himmelfarb, Cheryl R.

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Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial

Kay, Melissa C., Miller, Hailey N., Askew, Sandy, Spaulding, Erin M., Chisholm, Miriam, Christy, Jacob, Yang, Qing, Steinberg, Dori M.

Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology

Javaid, Aamir, Zghyer, Fawzi, Kim, Chang, Spaulding, Erin M., Isakadze, Nino, Ding, Jie, Kargillis, Daniel, Gao, Yumin, Rahman, Faisal, Brown, Donald E., Saria, Suchi, Martin, Seth S., Kramer, Christopher M., Blumenthal, Roger S., Marvel, Francoise A.

Application of the very high risk criterion and evaluation of cholesterol guideline adherence in acute myocardial infarction patients at an urban academic medical center

Brownstein, Adam J. ^a, Derenbecker, Robert ^a, Gao, Yumin ^a, Ding, Jie ^a, Varghese, Bibin ^a, Isakadze, Nino ^{a, b, c}, Spaulding, Erin M. ^{b, d}, Marvel, Francoise A. ^{a, b}, Martin, Seth S. ^{a, b, c, e, ⁎}

Prevalence and Disparities in Telehealth Use Among US Adults Following the COVID-19 Pandemic: National Cross-Sectional Survey.

Spaulding, Erin M^1,2,3 (NURSE) espauld2@jhu.edu, Fang, Michael^3,4 (AUTHOR), Commodore-Mensah, Yvonne^1,3,5 (NURSE), Himmelfarb, Cheryl R^1,4,5 (NURSE), Martin, Seth S^2,3,5,6 (AUTHOR), Coresh, Josef^3,4,7,8 (AUTHOR)

Heart rate trajectories in patients recovering from acute myocardial infarction: A longitudinal analysis of Apple Watch heart rate recordings

Weng, Daniel, Ding, Jie, Sharma, Apurva, Yanek, Lisa, Xun, Helen, Spaulding, Erin M., Osuji, Ngozi, Huynh, Pauline P., Ogunmoroti, Oluseye, Lee, Matthias A., Demo, Ryan, Marvel, Francoise A., Martin, Seth S.

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Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction

Shah, Lochan M.^{Aff1, Aff2}, Ding, Jie^{Aff1, Aff2}, Spaulding, Erin M.^{Aff2, Aff3, Aff4}, Yang, William E.^{Aff1, Aff2}, Lee, Matthias A., Demo, Ryan, Marvel, Francoise A.^{Aff1, Aff3}, Martin, Seth S.^{Aff1, Aff2, Aff4, Aff5, IDs12265021100989_cor1}

Early blood pressure assessment after acute myocardial infarction: Insights using digital health technology

Shan, Rongzi, Ding, Jie, Weng, Daniel, Spaulding, Erin M., Wongvibulsin, Shannon, Lee, Matthias A., Demo, Ryan, Marvel, Francoise A., Martin, Seth S.

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A randomized, placebo-controlled crossover trial of a decaffeinated energy drink shows no significant acute effect on mental energy

Garcia-Alvarez, Alicia, Cunningham, Corbin A, Mui, Byron, Penn, Lia, Spaulding, Erin M, Oakes, J Michael, Divers, Jasmin, Dickinson, Stephanie L, Xu, Xiao, Cheskin, Lawrence J ^*

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User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

Spaulding, Erin M, Marvel, Francoise A, Piasecki, Rebecca J, Martin, Seth S, Allen, Jerilyn K

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Digital Health Interventions for Cardiac Rehabilitation: Systematic Literature Review

Wongvibulsin, Shannon, Habeos, Evagelia E, Huynh, Pauline P, Xun, Helen, Shan, Rongzi, Porosnicu Rodriguez, Kori A, Wang, Jane, Gandapur, Yousuf K, Osuji, Ngozi, Shah, Lochan M, Spaulding, Erin M, Hung, George, Knowles, Kellen, Yang, William E, Marvel, Francoise A, Levin, Eleanor, Maron, David J, Gordon, Neil F, Martin, Seth S

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Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Yang, William E, Spaulding, Erin M, Lumelsky, David, Hung, George, Huynh, Pauline Phuong, Knowles, Kellen, Marvel, Francoise A, Vilarino, Valerie, Wang, Jane, Shah, Lochan M, Xun, Helen, Shan, Rongzi, Wongvibulsin, Shannon, Martin, Seth S

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