DHA-7007 V2

Arensmeyer, J., & Chase, D. (2018, October). The affordable care act’s impact on small business. The Commonwealth Fund Issue Brief, 1-8.
An example of an Issue Brief is found in this resource and you will need to access in advance of completing your assignment.  

Butler, M. (2017). Money troubles: Changing reimbursement models shake up physician and outpatient healthcare industry. Journal of AHIMA, 88(9), 14-17
Healthcare facilities rely on Medicare reimbursements and payments from other health insurance companies to maintain financial stability to provide healthcare services. Medicare must have a submission of the proper International Classification of Diseases (ICD) codes to make proper reimbursement payments. These codes, in their 10th version, vary between delivery sites—including in-patient hospitals, out-patient hospitals, and physician practices. In this article, Butler offers how changes to the ICD effects reimbursements.

Capan, M., Khojandi, A., Denton, B. T., Williams, K. D., Ayer, T., Chhatwal, J., Kurt, M., Lobo, J. M., Roberts, M. S., Zaric, G., Zhang, S., & Schwartz, J. S. (2017). From data to improved decisions: Operations research in healthcare delivery. Medical Decision Making, 37(8), 849–859.
In this article, Capan et al. examine the decision-making process from a clinical perspective rather than an operational perspective during the development of disease management solutions. The authors provide the benefits of using data to make informed, evidence-based clinical decisions.

De Smet, A., Lackey, G., & Weiss, L. M. (2017). Untangling your organization’s decision making. McKinsey Quarterly, (3), 68-80.
De Smet et al. examine how to best streamline decision-making within organizations given the burden of too many meetings with too many committees, and how best to use the time of decision-makers by identifying high-stakes decisions.

Garbuio, M., Lovallo, D., & Sibony, O. (2015). Evidence doesn't argue for itself: The value of disinterested dialogue in strategic decision-making. Long Range Planning, 48(6), 361–380.
Garbuio et al. examine two important factors in the strategic decision-making process: the analysis of the issues and the ensuing dialogue. Their findings suggest decision making improves through dialogue more than merely analyzing issues.

Lee, R. H. (2015). Economics for healthcare managers (3rd ed.). Health Administration Press.
In Chapter 3, “An Overview of the Healthcare Financing System,” Lee provides a primer on the status of healthcare coverage in the United States; how healthcare organizations receive reimbursement from insurance companies, private, and government programs; and the increasing burden being placed on patients with reduced coverage and more out-of-pocket costs.

Mony, P. (2014). Values-based leadership in a healthcare organization: Its impact on decision making and organizational outcomes (Order No. 3584799). Available from ProQuest One Academic.
Mony’s research uses theoretical models to examine the impact of the leaders’ personal values, attitudes, beliefs, and ethics on their decision-making abilities. The author also reports on how the level of administrative experience influences their decision-making abilities, suggesting decision-making improves as the administrator matures and gains experience and proficiency in their executive role.

Szymaniecmlicka, K. (2017). The decision-making process in public healthcare entities - identification of the decision-making process type1. Management 2017, 21(1), 191–204.
Building on seminal work on the decision-making process, Szymaniecmlicka expands the theoretical application of decision-making to public healthcare organizations after comparing the decision-making practices in public and private non-healthcare entities.

Wills, M. J. (2014). Decision through data: Analytics in healthcare. Journal of Healthcare Management, 59(4), 254-262.
Healthcare organizations generate a significant amount of data, some of which is usable and some is not. Wills’ study reveals that leaders must be proficient in their understanding of the value of data and data analytics programming.