Date of Award
2026
Degree Name
Healthcare Administration
College
College of Business
Type of Degree
M.S.
Document Type
Research Paper
First Advisor
Alberto Coustasse, Dr.PH. MD, MBA, MPH
Abstract
The purpose of this review was to examine how artificial intelligence–enabled revenue cycle management (AI-enabled RCM) systems have been associated with financial performance outcomes in healthcare organizations. A literature review following a systematic process consistent with PRISMA 2020 guidelines was conducted to identify quantitative studies published between 2015 and 2026. Eligible studies were required to report at least one financial outcome related to claim denial rate, days in accounts receivable, or operating margin. Twenty-seven studies met all inclusion criteria. Findings across these studies indicated that AI-enabled RCM systems have been associated with lower denial rates, shorter accounts receivable timelines, and higher operating margins. Denial reductions ranged from 12% to 35%, while days in accounts receivable decreased by an average of 14.3 days. Operating margins increased by an average of 2.4 percentage points. A semi-structured interview with a revenue cycle leader provided additional qualitative context regarding organizational readiness, staff hesitance toward new technologies, data integrity concerns, and operational alignment challenges. The combined evidence suggested that AI-enabled RCM systems have been consistently linked to favorable financial patterns, although variations in study design and implementation maturity limited generalizability. Practical implications included the need for structured implementation planning, workforce training, and evaluation of return-on-investment expectations. Policy implications included the potential for AI-enabled tools to support financial stability amid rising labor costs and value-based reimbursement pressures. Future research should incorporate longitudinal designs, standardized financial metrics, and mixed-methods approaches to better understand the sustainability of financial outcomes.
Subject(s)
Health services administration.
Health facilities -- Business management.
Hospitals -- Business management.
Hospitals -- Finance.
Health facilities -- Finance.
Accounts receivable.
Artificial intelligence.
Revenue -- Management.
Recommended Citation
Webster, K’reesa, "Artificial intelligence–enabled revenue cycle management and financial performance in healthcare organizations" (2026). Theses, Dissertations and Capstones. 2067.
https://mds.marshall.edu/etd/2067
Included in
Artificial Intelligence and Robotics Commons, Business Administration, Management, and Operations Commons, Finance and Financial Management Commons, Health and Medical Administration Commons
