Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes

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.

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Publication Details

Journal
International journal of data science and machine learning.
Published
2025-06-24
DOI
https://doi.org/10.55640/ijdsml-05-01-27
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes

Sridhar Rangu
International journal of data science and machine learning.
Customer churn and segmentation
article

Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes

Sridhar Rangu
article en

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.

International journal of data science and machine learning.Vol. 05(01)
X-Fab (Germany) (DE)
Openalex Percentile: Top 82%
Customer churn and segmentation
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Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes — Sridhar Rangu · International journal of data science and machine learning. (2025) | TGRS Research Map | TGRS