Journal of Advances in Developmental Research

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AI-Driven Patient Transfer Summarization Using Salesforce Health Cloud as a Clinical CRM Intelligence Platform

Author(s) Sai Saketh Sunkara
Country United States
Abstract The increasing complexity of inter-hospital patient transfers, combined with the widespread use of heterogeneous and unstructured medical documentation, has intensified challenges related to data fragmentation, delayed clinical decision-making, and inefficient care coordination. Existing healthcare information systems and CRM platforms often operate in silos, limiting their ability to provide timely, standardized, and actionable patient insights. To address these limitations, this paper proposes a Salesforce Health Cloud–centric AI framework, where Salesforce Health Cloud acts as the primary clinical CRM platform orchestrating patient transfer workflows, while AI modules provide embedded document intelligence and predictive decision support. The proposed architecture combines an Adaptive Document Parsing and Structuring (ADPS) Framework for layout-aware document understanding, a Context-Aware Clinical Summarization (CACS) Engine for ontology-guided extraction of medically significant information, a FHIR-Compliant Interoperability Integration (FCI) Layer for standardized data exchange, and a Predictive Admission Intelligence Module (PAIM) for proactive triage and risk assessment. By unifying document intelligence, interoperability, CRM workflow automation, and machine learning–based prediction into a single end-to-end pipeline, the framework converts patient transfer documentation from a manual, error-prone process into an automated, decision-support-driven workflow. Experimental evaluation on real-world inter-hospital transfer datasets demonstrates high document structuring accuracy (94.2%), clinically relevant summarization performance (96.8%), substantial reductions in admission processing time (from 38 to 11 minutes), and strong predictive accuracy (97.1%) with reliable risk discrimination. The results confirm that the proposed approach enhances clinical efficiency, reduces administrative burden, and enables CRM platforms to function as active participants in clinical decision-making, establishing a scalable and intelligent foundation for digital transformation in healthcare transfer management.
Keywords Salesforce Health Cloud; AI-driven patient transfer summarization; Clinical CRM intelligence; FHIR interoperability; Predictive admission analytics; Healthcare workflow automation.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-01-20
Cite This AI-Driven Patient Transfer Summarization Using Salesforce Health Cloud as a Clinical CRM Intelligence Platform - Sai Saketh Sunkara - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1703
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1703
Short DOI https://doi.org/hbphzj
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