J. Zayas-Castro

发表

Evaluation of an Error-Reduction Training Program for Surgical Residents

M. Brannick, P. Fabri, J. Zayas-Castro, 2009, Academic medicine : journal of the Association of American Medical Colleges.

Organizational Change : A Case for More Systematic and Dynamic Modeling

J. Zayas-Castro, T. Crowe, Humberto Alvarez, 2002 .

Challenges and opportunities in the analysis of risk in healthcare

P. Fabri, J. Zayas-Castro, Laila Cure, 2014 .

Human error, not communication and systems, underlies surgical complications.

P. Fabri, J. Zayas-Castro, Peter J Fabri, 2008, Surgery.

Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions

J. Zayas-Castro, A. Garcia-Arce, Florentino Rico, 2017, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.

Uncovering Hospitalists' Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning.

J. Zayas-Castro, D. Martinez, E. Mora, 2015, Applied clinical informatics.

A bilevel Nash-in-Nash model for hospital mergers: A key to affordable care

J. Zayas-Castro, Felipe Feijoo, Jorge A. Acuna, 2022, Socio-Economic Planning Sciences.

Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events

Md Rubel Ahmed, J. Zayas-Castro, H. Symum, 2022, IEEE Journal of Biomedical and Health Informatics.

A Multistate Decomposition Analysis of Cesarean Rate Variations, Associated Health Outcomes, and Financial Implications in the United States

J. Zayas-Castro, H. Symum, Hasan Symum, 2021, American Journal of Perinatology.

Impact of Statewide Mandatory Medicaid Managed Care (SMMC) Programs on Hospital Obstetric Outcomes

J. Zayas-Castro, H. Symum, Hasan Symum, 2022, Healthcare.

Identifying Children at Readmission Risk: At-Admission versus Traditional At-Discharge Readmission Prediction Model

J. Zayas-Castro, H. Symum, 2021, Healthcare.

Bounceback branchpoints: using conditional inference trees to analyze readmissions.

Shuai Huang, Peter Fabri, Jose Zayas-Castro, 2014, Surgery.

Impact of the COVID-19 Pandemic on the Pediatric Hospital Visits: Evidence from the State of Florida

J. Zayas-Castro, H. Symum, 2022, Pediatric reports.

A literature review of preventable hospital readmissions: Preceding the Readmissions Reduction Act

J. Benneyan, J. Zayas-Castro, Lingsong Zhang, 2016 .

Controllable and non-controllable factors to measure performance in primary care practices under Medicare alternative payment models

José L. Zayas-Castro, Jennifer Mendoza-Alonzo, Armin Lüer-Villagra, 2021 .

Office-based and home-care for older adults in primary care: A comparative analysis using the Nash bargaining solution

José L. Zayas-Castro, Jennifer Mendoza-Alonzo, Hadi Charkhgard, 2020 .

A user needs assessment to inform health information exchange design and implementation

Stephanie Taylor, Alexandra Strauss, Diego Martínez, 2015, BMC Medical Informatics and Decision Making.

Emile: A Concerted Tech Based Entrepreneurship Effort Between Engineering And Business

Thomas J. Crowe, Bin Wu, Douglas D. Moesel, 2002 .

Osteonecrosis in Individuals With Systemic Lupus Erythematosus: A Predictive Model.

J. Zayas-Castro, Jennifer Mendoza-Alonzo, Karina Soto-Sandoval, 2020, Reumatologia clinica.

Activating clinical trials: a process improvement approach

B. Djulbegovic, J. Zayas-Castro, A. Yalcin, 2016, Trials.

The Waiting Game – How Cooperation Between Public and Private Hospitals Can Help Reduce Waiting Lists

S. Sankaranarayanan, J. Zayas-Castro, Jorge A. Acuna, 2021, Health care management science.

Preventable Readmission Risk Factors for Patients With Chronic Conditions

P. Fabri, J. Zayas-Castro, Florentino Rico, 2016, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.

A strategic gaming model for health information exchange markets

Tapas K. Das, Felipe Feijoo, Scott Levin, 2018, Health care management science.

The Learning Factory—A New Approach to Integrating Design and Manufacturing into the Engineering Curriculum

John S. Lamancusa, José L. Zayas-Castro, Jens E. Jorgensen, 1997 .

Ambulance allocation optimization model for the overcrowding problem in US emergency departments: A case study in Florida

José L. Zayas-Castro, Jorge A. Acuna, Hadi Charkhgard, 2020 .

Simulating less‐than‐truckload terminal operations

Pranav J. Deshpande, José L. Zayas-Castro, Ali Yalcin, 2007 .

Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

José L. Zayas-Castro, Hasan Symum, J. Zayas-Castro, 2020, Healthcare informatics research.

Quantitative risk level estimation of business process reengineering efforts

Thomas J. Crowe, José Zayas-Castro, Pekying Meghan Fong, 2002, Bus. Process. Manag. J..

Characteristics and Outcomes of Pediatric Nonindex Readmission: Evidence From Florida Hospitals.

J. Zayas-Castro, H. Symum, 2021, Hospital pediatrics.

Clustering-based methodology for analyzing near-miss reports and identifying risks in healthcare delivery

Laila Cure, Peter Fabri, José Zayas-Castro, 2011, J. Biomed. Informatics.

Latent Regression Analysis Considering Student, Teacher, and Parent Variables and Their Relationship with Academic Performance in Primary School Students in Chile

J. Zayas-Castro, Sonia Salvo-Garrido, J. L. Gálvez-Nieto, 2023, Behavioral sciences.

Preventable Readmission Risk Factors for Patients With Chronic Conditions

P. Fabri, J. Zayas-Castro, Florentino Rico, 2016, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.

A strategic gaming model for health information exchange markets

T. Das, J. Zayas-Castro, Diego Martínez, 2016, Health Care Management Science.

Uncovering Hospitalists’ Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning

J. Zayas-Castro, Diego Martínez, M. Gemmani, 2015, Applied Clinical Informatics.

Bounceback branchpoints: using conditional inference trees to analyze readmissions.

P. Fabri, J. Zayas-Castro, V. Velanovich, 2014, Surgery.