Date of Conferral
Doctor of Business Administration (D.B.A.)
Billing inefficiencies represent 80% of wasteful healthcare administrative costs that are projected to reach $45 billion by 2018. Potentially, a reduced billing administrative cost is estimated to yield an annual savings of $60 billion that could fund other societal needs such as jobs, wage increases, and education. Through the conceptual framework of iceberg change management model, this single case study explored collaborative strategies 3 healthcare billing managers in Dallas, Texas successfully used to reduce billing administrative costs. Data were collected through semistructured interviews and the review of company documents. Using Yin's procedure of examining, comparing, categorizing, and coding data, the thematic analysis exposed 5 themes: task coordination, communication, stakeholder involvement, relationship management, and performance indicators. The findings indicated that collaborative strategies might serve as a guideline for billing managers to identify and manage behaviors, attitudes, and processes that hinders the reduction of wasteful billing administrative costs. The implication for positive social change is the potential to reduce the number of individuals who forgo care due to medical billing complexities and disputes. The study may also contribute to social change by providing other billing managers and administrators with strategies for reducing healthcare billing administrative costs. Potential cost savings derived from improved billing administrative costs could fund healthcare for the uninsured and underinsured. The implementation of these collaborative strategies may improve fragmented billing processes, resulting in reduction of wasteful healthcare spending.
Fayomi-Olaleye, Stella, "Collaborative Strategies Used to Reduce Billing Administrative Cost" (2017). Walden Dissertations and Doctoral Studies. 4440.
Accounting Commons, Business Administration, Management, and Operations Commons, Health and Medical Administration Commons, Management Sciences and Quantitative Methods Commons