ieso US im Vergleich zu Cancer Survivorship Algorithms Nutzung und Statistiken

The ieso Digital Program features 8 hours of content broken down into bitesize sessions, all designed to help you understand and manage feelings of anxiety, worry and stress.     Typed sessions    Your AI digital guide will text with you and support you through your experience in the program      Interactive activities   Watch videos take part in interactive exercises that will help develop skills and put your learning into practice     Multiple sessions a week  Sessions and activities become available as you progress through the program, so you can set the pace     Created using our expertise in Cognitive Behavioral Therapy   Using cognitive behavioral therapy (CBT) principles and ieso's expertise, the program helps build positive long-term habits to manage feelings of worry and anxiety  
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Survivorship algorithms depict best practices for care delivery by providing patient management tools to patients under surveillance for cancer recurrence and secondary cancers. Patients are transitioned to Survivorship once there is no evidence of disease for a specific time period dependent on the patient’s cancer site. These algorithms are not intended to replace the independent medical judgment of the physician in the context of individual clinical circumstances to determine a patient's care. Disclaimer: These algorithms have been developed for MD Anderson using a multidisciplinary approach considering circumstances particular to MD Anderson’s specific patient population, services and structure, and clinical information. This is not intended to replace the independent medical or professional judgment of physicians or other health care providers in the context of individual clinical circumstances to determine a patient's care. This algorithm should not be used to treat pregnant women.
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ieso USvs. Cancer Survivorship Algorithms Ranking-Vergleich

Vergleichen Sie ieso US den Ranking-Trend der letzten 28 Tage mit Cancer Survivorship Algorithms

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Cancer Survivorship Algorithms

Dezember 15, 2024