Review Article
Volume 10 Issue 5 - 2021
Breast Cancer Management and Coordination Using Artificial Intelligence
Elizabeth Charlotte Moser1*, Meric Mericliler2,3 and Gayatri Narayan1
1UM-AI LLC Coordinator Research, 8 The Green, Dover, DE, USA
2Department of Medicine, St. Elizabeth’s Medical Center, Boston, MA, USA
3Tufts University School of Medicine, Boston, MA, USA
*Corresponding Author: Elizabeth Charlotte Moser, UM-AI LLC Coordinator Research, 8 The Green, Dover, DE, USA.
Received: May 29, 2020; Published: April 16, 2021


Breast cancer care is complex and requires a continuous interaction between patients, primary care providers and specialists. Communication among these providers is crucial for timely treatment, monitoring treatment compliance and adverse outcomes, as well as management of comorbidities. The director role of care management is; however, often unclear, and patient care gets fragmented along the course of treatment and worse in follow-up. Multidisciplinary team meetings play a central role in care planning and structured data collection. Nurse navigators can also play a crucial role in care allocation and guidance, becoming the pivotal determinant of breast cancer care. Here, automatic artificial intelligence (AI) driven planning and symptom tracking can facilitate their tasks, however, human intervention continues to remain vital to account for unexpected emergencies and psychosocial support. Unfortunately, collection of patient data and allocation of patients are often done by hand and across disorganized data sets, as system solutions are limited in crossing care providers. Collection of disease-specific outcome data and adverse effects is essential for predictive tool development. Sharing data among specialist and primary care providers enforces accurate allocation and tailoring, moreover, can solve challenges related to scarce resources, distance and costs. AI-enhanced tools can only be developed and support a well-coordinated, patient-centred cancer care system. In the real world, effective communication and data collection across care-providers is challenging in the current healthcare system.

Herein, we address the role of information technology and AI and discuss potential barriers in cancer care.

Keywords: Artificial Intelligence; Breast Cancer; Predictive Tools; Care Coordination; Symptom Management 


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Citation: Elizabeth Charlotte Moser., et al. “Breast Cancer Management and Coordination Using Artificial Intelligence”. EC Gynaecology 10.5 (2021): 71-83.

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