Articles | Open Access | https://doi.org/10.55640/ijdsml-05-01-27

Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes

Sridhar Rangu , Senior Project / Program Manager, CVS thru XSell, USA

Abstract

Thanks to the swift development of AI and cloud computing, the healthcare industry is experiencing major changes. Before, traditional CRM only kept simple data and helped retrieve it. Still, thanks to AI and cloud solutions, they offer more organized, tailored, and patient-oriented care compared to before. The article focuses on using AI-based cloud CRM systems in healthcare to support better patient results and more efficient day-to-day activities. Using AI in CRM platforms, companies can spot upcoming needs for patients, assist doctors in making quick decisions, and streamline many routine jobs. Intelligent chatbots are used for patient interaction, patient sentiments are analyzed, and AI is used to manage how care should be delivered based on risk levels. With cloud infrastructure, healthcare can offer flexible storage, teamwork between departments, and remote access to its services. In addition, using blockchain for security, 5G, and edge computing allows instant access to information while caring for patients to ensure that health care is continuously active. Using these technologies with CRM systems, healthcare providers can improve their relationships with clients, reduce costs, and handle the growing challenges in healthcare. Current approaches and potential use of AI and cloud services for CRMs in healthcare are thoroughly discussed and analyzed in this paper.

Keywords

AI-powered CRM systems, Cloud technology, Patient-centric care, Predictive analytics, Healthcare transformation, Operational efficiency

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Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes. (2025). International Journal of Data Science and Machine Learning, 5(01), 336-369. https://doi.org/10.55640/ijdsml-05-01-27