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Review Papers | Oncology Science | United States of America | Volume 10 Issue 9, September 2021
Enhancing Patient-Centered Care in Oncology through Telehealth: Advanced Data Analytics and Personalized Strategies in Breast Cancer Treatment
Deepak Singh [2] | Suyash Bhogawar [3] | Siddhartha Nuthakki [3] | Nirmal Ranganathan
Abstract: Telehealth was a crucial tool for managing patients with breast cancer. It allowed for the continuity of care to include virtual consultations and appointments, psychological and emotional support, expert-guided physical activity from a distance, multidisciplinary collaboration, and even breast cancer detection. This study investigates the effectiveness of telehealth interventions in managing breast cancer care and recovery with the goal of improving patient outcomes and implementing tailored treatment alternatives. Its main point is how advanced data analytics fit into this procedure. Based on 12 research published in journals between 2013 and 2021, a thorough review of the literature is done to identify and characterize the essential aspects of agile methodologies that are relevant to coordination. In the context of breast cancer, telehealth can be utilized for remote monitoring; virtual consultations, and education, supporting a patient-centered approach that takes into account the unique needs and preferences of each patient. Modern data analytics can significantly improve targeted and personalized care for patients with breast cancer. By leveraging big data and machine learning algorithms, healthcare practitioners may analyze large patient data sets, identify patterns, and predict treatment outcomes. This data-driven strategy has the potential to improve overall efficacy, optimize treatment regimens, and provide a deeper understanding of patient characteristics. Due to its diverse character and abundance of molecular subtypes, breast cancer needs customized treatment regimens.
Keywords: Patient-Centered Care, Telehealth, Breast Cancer, Data Analytics and Personalized Strategies
Edition: Volume 10 Issue 9, September 2021,
Pages: 1707 - 1715