ENHANCING PATIENT RELATIONSHIPS THROUGH HUMAN-AI COLLABORATION IN HEALTHCARE CRM: A TECHNICAL OVERVIEW
Keywords:
Healthcare CRM, Artificial Intelligence, Patient Engagement, Medical Informatics, Healthcare Technology, Machine Learning, Data AnalyticsAbstract
The integration of Artificial Intelligence (AI) in healthcare Customer Relationship Management (CRM) systems represents a significant advancement in patient care delivery. The article analyzes the implementation and impact of AI-enhanced CRM systems across numerous healthcare facilities, demonstrating substantial improvements in both operational efficiency and patient outcomes. The article reveals significant improvement in predictive accuracy for patient outcomes and notable enhancement in service customization through AI-CRM implementation. Modern systems process considerable volumes of patient data daily while maintaining exceptional security compliance. It demonstrates how AI-augmented interfaces have substantially reduced diagnostic time while improving decision-making accuracy. Through an analysis of millions of daily patient interactions, the study illustrates significant advancements in patient engagement, with marked increases in satisfaction scores and treatment adherence rates. This article provides comprehensive insights into the technical architecture, security frameworks, and performance metrics of modern healthcare CRM systems, establishing a foundation for future developments in human-AI collaboration within healthcare.
References
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, “Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations,” Informatics and Health Volume 1, Issue 2, September 2024, Pages 123-148, Available: https://www.sciencedirect.com/science/article/pii/S2949953424000092
Pradeep Kumar, et al, “Artificial intelligence (AI)-enabled CRM capability in healthcare: The impact on service innovation,” April 2023 International Journal of Information Management69(5):102598 DOI:10.1016/j.ijinfomgt.2022.102598, Available: https://www.researchgate.net/publication/365821630_Artificial_intelligence_AI-enabled_CRM_capability_in_healthcare_The_impact_on_service_innovation
B Kalaiyarasan, A. Kamalakannan, “AI-Driven Customer Relationship Management (CRM): A Review of Implementation Strategies,” December 2023 Conference: International Conference on
Computing Paradigms (ICCP2023), Available: https://www.researchgate.net/publication/376618237_AI-Driven_Customer_Relationship_Management_CRM_A_Review_of_Implementation_Strategies
Aritra Ray, Hena Ray, “Performance Analysis of Machine Learning Classifiers on Different Healthcare Datasets,” May 2021 Advances in Intelligent Systems and Computing DOI:10.1007/978-981-33-4367-2_11 In book: Emerging Technologies in Data Mining and Information Security (pp.99-111), Available: https://www.researchgate.net/publication/351335803_Performance_Analysis_of_Machine_Learning_Classifiers_on_Different_Healthcare_Datasets
Mohammed Badawy, et al, “Healthcare predictive analytics using machine learning and deep learning techniques: a survey,” Journal of Electrical Systems and Information Technology 10, Article number: 40 (2023), Available: https://jesit.springeropen.com/articles/10.1186/s43067-023-00108-y
Antonio Iyda Paganelli, et al, “Real-time data analysis in health monitoring systems: A comprehensive systematic literature review,” Journal of Biomedical Informatics Volume 127, March 2022, 104009, Available: https://www.sciencedirect.com/science/article/pii/S1532046422000259
Mounika Nalluri, “HUMAN-AI COLLABORATION IN HEALTHCARE STUDYING THE IMPACT OF AI ON HEALTHCARE PROFESSIONALS DECISION-MAKING PROCESSES,” July 2024 Pakistan Heart Journal 57(1):69-77, Available: https://www.researchgate.net/publication/381924143_HUMAN-AI_COLLABORATION_IN_HEALTHCARE_STUDYING_THE_IMPACT_OF_AI_ON_HEALTHCARE_PROFESSIONALS_DECISION-MAKING_PROCESSES
Franciskus Antonius Alijoyo, et al, “Enhancing AI interpretation and decision-making: Integrating cognitive computational models with deep learning for advanced uncertain reasoning systems,” Alexandria Engineering Journal Volume 99, July 2024, Pages 17-30, Available: https://www.sciencedirect.com/science/article/pii/S1110016824004563
Vicky Liu, et al, “Network security metrics and performance for healthcare systems management,” October 201 DOI:10.1109/HealthCom.2015.7454496 Conference: 2015 17th International Conference on E-health Networking, Application & Services (HealthCom) Available: https://www.researchgate.net/publication/301912772_Network_security_metrics_and_performance_for_healthcare_systems_management
Yahia Baashar, et al, “Customer relationship management systems (CRMS) in the healthcare environment: A systematic literature review,” Computer Standards & Interfaces, Volume 71, August 2020, 103442, Available: https://www.sciencedirect.com/science/article/pii/S0920548919304593
