Transforming Cancer Care and Research with Pega: A Unified Approach to Data and Workflow Integration

Advanced technology is required in cancer care and research to handle the complex workflow, large dataset, and real-time decision-making that is in high demand. Pega’s platform helps integrate oncology workflows and automates processes, providing advanced data analytics that are domain-focused for healthcare. It also ensures easy integration with systems such as GRAIL’s Galleri test and real-time data analytics powered by Apache Kafka, making health care providers and researchers empowered with actionable insights. This paper highlights the efficiency difference, automation, and domain-specific capabilities that Pega has over other platforms, by leveraging the AI-powered multi-cloud data optimization systems to enhance the oncology workflows. By reducing latency, doubling data throughput, and accelerating model training, the system improved performance in cancer research and care.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/sera65747.2025.11154619
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Transforming Cancer Care and Research with Pega: A Unified Approach to Data and Workflow Integration

Sairohith Thummarakoti
Biomedical Text Mining and Ontologies
article

Transforming Cancer Care and Research with Pega: A Unified Approach to Data and Workflow Integration

Sairohith Thummarakoti
article en

Abstract

Advanced technology is required in cancer care and research to handle the complex workflow, large dataset, and real-time decision-making that is in high demand. Pega’s platform helps integrate oncology workflows and automates processes, providing advanced data analytics that are domain-focused for healthcare. It also ensures easy integration with systems such as GRAIL’s Galleri test and real-time data analytics powered by Apache Kafka, making health care providers and researchers empowered with actionable insights. This paper highlights the efficiency difference, automation, and domain-specific capabilities that Pega has over other platforms, by leveraging the AI-powered multi-cloud data optimization systems to enhance the oncology workflows. By reducing latency, doubling data throughput, and accelerating model training, the system improved performance in cancer research and care.

Openalex Percentile: Top 78%
Biomedical Text Mining and Ontologies
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