Cloud-Enabled AI Contact Centers in Oncology Care
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V2I3P111Keywords:
Oncology Contact Center Artificial Intelligence, Cloud-Based Cancer Care Coordination, AI-Driven Clinical Decision Support, Chemotherapy Symptom Monitoring Systems, Telehealth Oncology Patient Engagement Opus 4.5Abstract
This article describes the design and deployment of cloud-enabled AI contact centers to support oncology practice. It also describes the unique technology-enabled engagement needs of oncology practices, such as supporting chemotherapy cycles, radiation therapy, symptom monitoring, and polypharmacy, and why temporally aware and risk-stratified patient engagement systems are not merely desirable but are, in fact, essential to the practice of oncology. Technical considerations include AI-based triage algorithms optimized to the stage of treatment, toxicity, and laboratory thresholds, balancing the need for early intervention with minimizing unnecessary use of emergency resources. Bidirectional integration with electronic health records (EHR) is discussed as a foundational strategy for the predictive routing of immunocompromised and higher-acuity patients for appropriate clinical escalations. Human-AI collaborative and augmented approaches to maintaining the human aspects of patient interaction and human judgment in oncology decisions for emergencies and other high-risk situations are also reviewed as an alternative to replacing high-risk oncology decision-making with automation. Considerations for scaling these approaches to regional cancer networks and to underserved and rural communities with high cancer mortality disparities are also discussed. The next step in synthesis crystallizes cloud-enabled AI oncology contact centers as transformative infrastructure for value-based care objectives and pathways to digital transformation of healthcare systems.
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