Integrating AI and CRM Platforms in Healthcare: A Framework for Personalized Diagnosis and Treatment through Cloud-Based Solutions

The integration of artificial intelligence with customer relationship management platforms in healthcare represents a transformative advancement in personalized medicine. This convergence enables healthcare providers to consolidate patient data from diverse sources into unified platforms, facilitating individualized diagnosis and treatment planning. Cloud-based technologies serve as essential infrastructure, providing the scalability and computational capacity necessary for managing complex healthcare data ecosystems. The implementation of standardized APIs and event-driven architectures supports real-time data synchronization across clinical systems, while machine learning algorithms identify subtle patterns within patient data that might otherwise remain undetected. Workflow automation enhances administrative efficiency, reducing documentation burden and enabling clinical staff to focus on direct patient care. The resulting framework supports a multidimensional approach to treatment personalization that incorporates not only clinical data but also patient preferences and social determinants of health, ultimately transforming healthcare delivery toward more responsive, patient-centered models.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-09-08
DOI
https://doi.org/10.52783/jisem.v10i59s.12899
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Integrating AI and CRM Platforms in Healthcare: A Framework for Personalized Diagnosis and Treatment through Cloud-Based Solutions

R. Dhanasekaran
Journal of Information Systems Engineering & Management
Big Data and Business Intelligence
article

Integrating AI and CRM Platforms in Healthcare: A Framework for Personalized Diagnosis and Treatment through Cloud-Based Solutions

R. Dhanasekaran
article en

Abstract

The integration of artificial intelligence with customer relationship management platforms in healthcare represents a transformative advancement in personalized medicine. This convergence enables healthcare providers to consolidate patient data from diverse sources into unified platforms, facilitating individualized diagnosis and treatment planning. Cloud-based technologies serve as essential infrastructure, providing the scalability and computational capacity necessary for managing complex healthcare data ecosystems. The implementation of standardized APIs and event-driven architectures supports real-time data synchronization across clinical systems, while machine learning algorithms identify subtle patterns within patient data that might otherwise remain undetected. Workflow automation enhances administrative efficiency, reducing documentation burden and enabling clinical staff to focus on direct patient care. The resulting framework supports a multidimensional approach to treatment personalization that incorporates not only clinical data but also patient preferences and social determinants of health, ultimately transforming healthcare delivery toward more responsive, patient-centered models.

Journal of Information Systems Engineering & ManagementVol. 10(59s)
Illinois Institute of Technology (US)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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Integrating AI and CRM Platforms in Healthcare: A Framework for Personalized Diagnosis and Treatment through Cloud-Based Solutions — R. Dhanasekaran · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS