JOURNAL ARTICLE

Predictive Analytics in Healthcare: Leveraging Machine Learning through Salesforce’s Einstein Studio

Ganesh Bollina

Year: 2025 Journal:   European Journal of Computer Science and Information Technology Vol: 13 (47)Pages: 158-171

Abstract

The article explores how predictive analytics is reshaping healthcare, especially by allowing medical facilities to use advanced AI. It discusses how, through the advancement of proactive healthcare, predictive tools help with disease progression, predicting risk of hospital readmission, response to treatments, and managing healthcare resources. Things to think about technically are structuring the architecture, combining various systems, ways of modeling, deployment, and security for health-related data. Such strategies handle readiness in the organization, oversee data governance, integrate health records, manage change, and calculate ROI. Such environments give the chance to healthcare professionals in community hospitals and outpatient networks beyond academic centers to build predictive models that benefit their patients and work environment.

Keywords:
Studio Analytics Predictive analytics Health care Computer science Einstein Artificial intelligence Machine learning Data science Physics Economics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
8
Refs
0.34
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Artificial Intelligence in Healthcare
Health Sciences →  Health Professions →  Health Information Management
Artificial Intelligence in Healthcare and Education
Health Sciences →  Medicine →  Health Informatics

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