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Revolutionizing Revenue Cycle Management: Ai's Impact On Healthcare Organizations, Rachel Pennington, Alberto Coustasse Apr 2024

Revolutionizing Revenue Cycle Management: Ai's Impact On Healthcare Organizations, Rachel Pennington, Alberto Coustasse

Management Faculty Research

Revenue Cycle Management (RCM) stands as a cornerstone in healthcare, overseeing the intricate processes involved in capturing, managing, and collecting revenue generated from patient services. However, the landscape of RCM has long been plagued by inefficiencies. These inefficiencies underscore the urgency for innovative approaches, and the integration of AI emerges as a promising solution to streamline processes and optimize revenue capture.


Sustainability Of Rural Hospitals In The United States, Stephanie Cole, Kathleen Lanhan, Alberto Coustasse Mar 2020

Sustainability Of Rural Hospitals In The United States, Stephanie Cole, Kathleen Lanhan, Alberto Coustasse

Management Faculty Research

Introduction: Rural hospitals experienced both challenges and opportunities in providing healthcare to the community. As these facilities were one of the largest employers in the area, their impact was significant. The purpose of this study was to determine the sustainability of rural hospitals in the U.S. by examining variables that affect these institutions such as accessibility, availability of services, quality outcomes, and effective administrative practices.

Methodology: This qualitative study utilized a literature review and open-ended survey of an expert in Hospital Administration within or collaborating with rural areas. Five databases were used to collect 48 total sources. These sources were …


The Use Of Big Data By Managed Care Organizations, Bojing Wang, Xiaoying Liu, Alberto Coustasse Mar 2019

The Use Of Big Data By Managed Care Organizations, Bojing Wang, Xiaoying Liu, Alberto Coustasse

Management Faculty Research

Big data have become available in all kinds of healthcare organizations. The application of big data analytics in Managed Care Organizations (MCOs) has the potential to improve health care, lower costs, save lives, and help to make better-informed decisions. The study illustrated the implication of big data in MCOs. Big data can help MCOs reduce patients’ relevance, analyze specific diseases such as asthma and diabetes. Big data also could help MCOs to reduce cost after collecting data and determined the specific patients’ situation. The implication of big data has benefited MCOs in reducing costs, improving the quality of healthcare care. …