Population Health, Policy, and Spending
Sarraju, A., Ngo, S., Ashland, M., Scheinker, D., & Rodriguez, F. (2022). Trends in national and county-level Hispanic mortality in the United States, 2011–2020. Scientific Reports, 12(1), 1-5.
Valencia, A., Zuma, B. Z., Spencer‐Bonilla, G., López, L., Scheinker, D., & Rodriguez, F. (2021). The Hispanic paradox in the prevalence of obesity at the county‐level. Obesity Science & Practice, 7(1), 14-24.
Scheinker, D., Richman, B. D., Milstein, A., & Schulman, K. A. (2021). Reducing administrative costs in US health care: Assessing single payer and its alternatives. Health services research.
Muffly, Matthew, David Scheinker, Tyler Muffly, Mark Singleton, Rita Agarwal, and Anita Honkanen. “Practice Characteristics of Board-certified Pediatric Anesthesiologists in the US: A Nationwide Survey.” (2019).
Scheinker, D., Valencia, A. and Rodriguez, F., 2019. Identification of Factors Associated With Variation in US County-Level Obesity Prevalence Rates Using Epidemiologic vs Machine Learning Models. JAMA network open, 2(4), pp.e192884-e192884.
Valencia, Areli, Bongeka Z. Zuma, Gabriel M. Knight, David Scheinker, Ashish Sarraju, and Fatima Rodriguez. “The Hispanic Paradox in County-level Obesity Prevalence.” Circulation 140, no. Suppl_1 (2019): A11918-A11918.
O’Neill, Daniel P., and David Scheinker. “Wasted Health Spending: Who’s Picking Up The Tab?.” Health affairs blog (2018).
Presentations and Posters
Valencia, Areli, Fatima Rodriguez, and David Scheinker. “EXPLAINING VARIATION IN US COUNTY-LEVEL OBESITY PREVALENCE.” Journal of the American College of Cardiology 73, no. 9 Supplement 1 (2019): 1762.
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Predictions, Risk, and Other Observational Clinical Studies
Russell, W. A., Scheinker, D., & Sutherland, S. M. (2020). Baseline creatinine determination method impacts association between acute kidney injury and clinical outcomes. Pediatric Nephrology, 1-9.
Caruso, T.J., Tsui, J.H., Wang, E., Scheinker, D., Sharek, P.J., Cunningham, C. and Rodriguez, S.T., 2018. A Retrospective Review of a Bed-mounted Projection System for Managing Pediatric Preoperative Anxiety. Pediatric Quality & Safety, 3(4), p.e087.
Muffly, M.K., Singleton, M., Agarwal, R., Scheinker, D., Miller, D., Muffly, T.M. and Honkanen, A., 2018. The Pediatric Anesthesiology Workforce: Projecting Supply and Trends 2015-2035. Anesthesia & Analgesia, 126(2), pp.568-578.
Jin, B., Zhao, Y., Hao, S., Shin, A.Y., Wang, Y., Zhu, C., Hu, Z., Fu, C., Ji, J., Wang, Y. and Zhao, Y., 2016. Prospective stratification of patients at risk for emergency department revisit: resource utilization and population management strategy implications. BMC emergency medicine, 16(1), p.10.
Hao, S., Wang, Y., Jin, B., Shin, A.Y., Zhu, C., Huang, M., Zheng, L., Luo, J., Hu, Z., Fu, C. and Dai, D., 2015. Development, validation and deployment of a real time 30 day hospital readmission risk assessment tool in the Maine Healthcare Information Exchange. PloS one, 10(10), p.e0140271.
Hu, Z., Hao, S., Jin, B., Shin, A.Y., Zhu, C., Huang, M., Wang, Y., Zheng, L., Dai, D., Culver, D.S. and Alfreds, S.T., 2015. Online prediction of health care utilization in the next six months based on electronic health record information: a cohort and validation study. Journal of medical Internet research, 17(9).
Hu, Z., Jin, B., Shin, A.Y., Zhu, C., Zhao, Y., Hao, S., Zheng, L., Fu, C., Wen, Q., Ji, J. and Li, Z., 2015. Real-time web-based assessment of total population risk of future emergency department utilization: statewide prospective active case finding study. Interactive journal of medical research, 4(1).
Hao, S., Jin, B.O., Shin, A.Y., Zhao, Y., Zhu, C., Li, Z., Hu, Z., Fu, C., Ji, J., Wang, Y. and Zhao, Y., 2014. Risk prediction of emergency department revisit 30 days post discharge: a prospective study. PloS one, 9(11), p.e112944.
Presentations and Posters
Bentley, Jason P., Mariam Askari, Jun Fan, Paul A. Heidenreich, Kenneth W. Mahaffey, Manisha Desai, David Scheinker, and Mintu P. Turakhia. “Estimation of Stroke Outcomes in Atrial Fibrillation Using Continuous Clinical and Implantable Device Data From the Treat-AF Study: A Comparison With CHA2DS2-VASc Score.” Circulation 138, no. Suppl_1 (2018): A15123-A15123.
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Heart
Duong, S. Q., Shi, Y., Giacone, H., Navarre, B., Gal, D., Han, B., … & Algaze, C. A. (2022). Criteria for Early Pacemaker Implantation in Patients With Postoperative Heart Block After Congenital Heart Surgery. Circulation: Arrhythmia and Electrophysiology, e011145.
Augustine Chemparathy*; Martin G. Seneviratne, MD†; Andrew Ward, PhD‡; Simran Mirchandani, MS; Ron Li, MD§; Roshni Mathew, MD; Matthew Wood, PhD; Andrew Y. Shin, MD; Lane F. Donnelly, MD; David Scheinker, PhD*; Grace M. Lee, MD, MPH Development and Implementation of a Real-time Bundle-adherence Dashboard for Central Line-associated Bloodstream Infections. Pediatric Quality and Safety. In Press
Ward, A., Chemparathy, A., Donnelly, F., Lee, G.M., Mathew, M., Scheinker, D., and Shin, A. The Association Between Central Line-Associated Bloodstream Infection and Central Line Access. In Submission
Zuma, B., Valencia, A., Spencer-Bonilla, G., Blum, M. R., Knight, G., Scheinker, D., & Rodriguez, F. (2020). COUNTY-LEVEL FACTORS ASSOCIATED WITH CARDIOVASCULAR MORTALITY DISAGGREGATED BY RACE/ETHNICITY. Journal of the American College of Cardiology, 75(11_Supplement_1), 1884-1884.
Zuma, B. Z., Parizo, J. T., Valencia, A., Spencer‐Bonilla, G., Blum, M. R., Scheinker, D., & Rodriguez, F. (2021). County‐Level Factors Associated With Cardiovascular Mortality by Race/Ethnicity. Journal of the American Heart Association, 10(6), e018835.
Gamino, G., Parizo, J. T., Scheinker, D., & Rodriguez, F. (2020). Racial and Ethnic Minority Groups Are Under-Represented and Under-Reported in Guideline-Informing Heart Failure Clinical Trials. Circulation, 142(Suppl_3), A17339-A17339.
Scheinker, D., Ward, A., Shin, A. Y., Lee, G. M., Mathew, R., & Donnelly, L. F. (2020). Differences in Central Line–Associated Bloodstream Infection Rates Based on the Criteria Used to Count Central Line Days. Jama, 323(2), 183-185.
Ward, A., Sarraju, A., Chung, S., Palaniappan, L., Scheinker, D., & Rodriguez, F. (2019). Prediction of Atherosclerotic Cardiovascular Disease Risk Using Machine Learning and Electronic Health Record Data. Circulation, 140(Suppl_1), A11985-A11985.
Maher, K.O., Chang, A.C., Shin, A., Hunt, J. and Wong, H.R., 2015. Innovation in pediatric cardiac intensive care: an exponential convergence toward transformation of care. World Journal for Pediatric and Congenital Heart Surgery, 6(4), pp.588-596.
Shin, A.Y., Jin, B., Hao, S., Hu, Z., Sutherland, S., McCammond, A., Axelrod, D., Sharek, P., Roth, S.J. and Ling, X.B., 2015. Utility of clinical biomarkers to predict central line-associated bloodstream infections after congenital heart surgery. The Pediatric infectious disease journal, 34(3), pp.251-254.
Wang, Y., Luo, J., Hao, S., Xu, H., Shin, A.Y., Jin, B., Liu, R., Deng, X., Wang, L., Zheng, L. and Zhao, Y., 2015. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records. International journal of medical informatics, 84(12), pp.1039-1047.
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Functional Analysis and Functions of Several Complex Variables
Scheinker, D., 2014. Hilbert function spaces and the Nevanlinna–Pick problem on the polydisc II. Journal of Functional Analysis, 266(1), pp.355-367.
Scheinker, D., 2013. A uniqueness theorem for bounded analytic functions on the polydisc. Complex Analysis and Operator Theory, 7(5), pp.1429-1436.
Scheinker, David. “Bounded analytic functions on the polydisc.” PhD diss., UC San Diego, 2011.
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Laboratory Utilization
Algaze, C.A., Wood, M., Pageler, N.M., Sharek, P.J., Longhurst, C.A. and Shin, A.Y., 2016. Use of a checklist and clinical decision support tool reduces laboratory use and improves cost. Pediatrics, 137(1), p.e20143019.
Pageler, N.M., Franzon, D., Longhurst, C.A., Wood, M., Shin, A.Y., Adams, E.S., Widen, E. and Cornfield, D.N., 2013. Embedding time-limited laboratory orders within computerized provider order entry reduces laboratory utilization. Pediatric Critical Care Medicine, 14(4), pp.413-419.
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Extremum Seeking for Control
Scheinker, A., & Scheinker, D. (2020). Extremum seeking for optimal control problems with unknown time‐varying systems and unknown objective functions. International Journal of Adaptive Control and Signal Processing.
Scheinker, A. and Scheinker, D., 2018. Constrained extremum seeking stabilization of systems not affine in control. International Journal of Robust and Nonlinear Control, 28(2), pp.568-581.
Scheinker, Alexander, and David Scheinker. “Extremum Seeking Optimal Controls of Unknown Systems.” arXiv preprint arXiv:1808.05181 (2018).
Scheinker, A. and Scheinker, D., 2016. Bounded extremum seeking with discontinuous dithers. Automatica, 69, pp.250-257.
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