A5056254853- COVID-19 epidemiological studies
- Telemedicine and Telehealth Implementation
- Economic and Financial Impacts of Cancer
- Advanced Causal Inference Techniques
- Cancer survivorship and care
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- COVID-19 Clinical Research Studies
- Healthcare Systems and Public Health
- Ethics in Clinical Research
- SARS-CoV-2 and COVID-19 Research
- Data-Driven Disease Surveillance
- COVID-19 Pandemic Impacts
- COVID-19 and healthcare impacts
- Patient-Provider Communication in Healthcare
- Statistical Methods and Inference
- Infection Control and Ventilation
Memorial Sloan Kettering Cancer Center
2024-2025
Western University
2020-2023
Actua
2023
PURPOSE Clinical trials are integral for patients with cancer but remain inaccessible to many because of barriers including geographic and transportation challenges. This study aimed evaluate patients' preferences telemedicine versus in-person visits clinical trial discussions informed consent (IC). METHODS An electronic survey was administered first-time users at Memorial Sloan Kettering Cancer Center from 2021 2023. The assessed the IC process their comfort discussing virtually. primary...
Modern cancer care is costly and logistically burdensome for patients their families despite an expansion of technology medical advances that create the opportunity novel approaches to care. Therefore, there a growing appreciation need leverage these innovations make more patient centered convenient. The Memorial Sloan Kettering Making Telehealth Delivery Cancer Care at Home Efficient Safe Research Center National Institute-designated funded Excellence poised generate evidence necessary...
Importance The COVID-19 pandemic catalyzed rapid adoption of telemedicine visits for cancer care delivery. However, patients’ experiences with remain poorly understood. Objective To understand satisfaction at a comprehensive center. Design, Setting, and Participants This survey study included patients US center between 2020 2023. Eligible completed surveys in English conducted after their first appointment via an online patient portal. Data were analyzed January June 2024. Exposures Patient...
COVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) that was reported to spread in people December 2019. Understanding epidemiological features of important for ongoing global efforts contain virus. As complement available work, this article we analyze Kaggle novel dataset 3397 patients dated from January 22, 2020 March 29, 2020. We employ semiparametric and nonparametric survival models as well text mining data visualization techniques examine...
Research on dynamic treatment regimes has enticed extensive interest. Many methods have been proposed in the literature, which, however, are vulnerable to presence of misclassification covariates. In particular, although Q‐learning received considerable attention, its applicability data with misclassified covariates is unclear. this article, we investigate how ignoring binary can impact determination optimal decision rules randomized settings, and demonstrate deleterious effects through...
1632 Background: Telemedicine, once sparingly utilized, surged during the COVID-19 pandemic to enhance care accessibility and safety concerns. Despite initial satisfaction, its usage remains highly variable across institutions. We sought explore patient satisfaction at a comprehensive cancer center, associations with demographic characteristics, change over time. Methods: A survey was sent all first-time telemedicine users Memorial Sloan Kettering Cancer Center from September 2021 October...
In the midst of global outbreak with over 300,000 worldwide death cases COVID-19, Canada has reported 79,101 confirmed novel coronavirus (COVID-19) as May 19, 2020, in which severity differs from region to region. To provide a timely view and understanding evolving pandemic Canada, we develop real time interactive web-based platform primarily includes data visualization statistical analysis. The website highlights tracking development COVID-19 visualized graphs forecasts future trends...