Multidisciplinary Approach can Improve Outcomes of Ischemic Stroke

Multidisciplinary Approach can Improve Outcomes of Ischemic Stroke

Addressing complex challenges in evaluation and diagnosis of ischemic stroke in young women may improve treatment outcomes for patients.

Primary finding of a study are expected to be published in the January 2018 Academic Emergency Medicine (AEM), a journal of the Society for Academic Emergency Medicine (SAEM). A multidisciplinary approach was focused on providing physicians with knowledge regarding ischemic stroke in young women Department of Emergency Medicine, at Columbia University Medical Center, New York. Research is in progress regarding psychological and cardiovascular outcomes following acute medical events such as stroke and acute coronary syndrome. The study is led by Bernard P. Chang, MD, PhD, assistant professor of University.

The study reports that multiple opportunities exist for future research aimed at improving detection and treatment of young women with ischemic stroke. The authors are focused on creating and applying clinical decision rules, educational campaigns designed to educate young women, emergency medicine providers, and consideration of preventive strategies that might be applied in the emergency department may ultimately lead to interventions that can improve outcomes in young women with ischemic stroke. According to Interventional Neurology Market  report published by Coherent Market Insights, high transparency and align incentives so that efficient, cost-effective, high-quality, definitive patient-centered care can be provided for all patients.

“As with other thromboembolic disease processes, this review stresses the importance of recognizing non-atherosclerotic risk factors in premenopausal women that may predispose them to stroke. While future research in predictive modeling may lead to a decision rule that formally includes some or all of these risk factors, exploring for their existence in young women may help prompt diagnostic consideration for stroke, even with subtler clinical presentations. As machine learning and other artificial intelligence becomes increasingly integrated with the electronic medical record, I envision a future in which clinicians may be prompted to consider stroke in young woman, based on the presence of these risk factors,” said Andrew W. Asimos, MD, a professor in the Department of Emergency Medicine, Carolinas Medical Center and the Medical Director of the Carolinas Stroke Network, Carolinas HealthCare System.

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