Clinical variation cost and treatment effectiveness management for healthcare providers to support value based care

Authors: Shreesha Hegde Kukkuhalli

DOI: https://doi.org/10.5281/zenodo.14059428

Short DOI: https://doi.org/g8qjqx

Country: USA

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Abstract: The healthcare industry is increasingly transitioning towards value-based care models, which prioritize patient outcomes over service volume. A significant challenge in implementing value based care lies in addressing clinical variation, which can lead to inconsistent patient outcomes and increased costs. This paper proposes a data-driven approach to managing clinical variation and optimizing treatment effectiveness to reduce costs, enhance care quality, and support VBC initiatives. Using data driven descriptive analytics, machine learning (ML), this method provides healthcare providers with actionable insights to standardize treatment protocols and improve decision-making. The results indicate that reducing clinical variation cost across healthcare provider clinics and improving treatment effectiveness can lead to better patient outcomes and significant cost savings, thus supporting the goals of value based care.

Keywords: Clinical Variation, Cost Management, Treatment Effectiveness, Value-Based Care, Data Engineering, Healthcare Providers, Machine Learning, Data-Driven Decision Making

Paper Id: 231471

Published On: 2020-11-04

Published In: Volume 8, Issue 6, November-December 2020

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