Financial Forecasting and Stochastic Modeling: Predicting the Impact of Business Decisions.

Journal Article (Review)

In health care organizations, effective investment of precious resources is critical to assure that the organization delivers high-quality and sustainable patient care within a supportive environment for patients, their families, and the health care providers. This holds true for organizations independent of size, from small practices to large health systems. For radiologists whose role is to oversee the delivery of imaging services and the interpretation, communication, and curation of imaging-informed information, business decisions influence where and how they practice, the tools available for image acquisition and interpretation, and ultimately their professional satisfaction. With so much at stake, physicians must understand and embrace the methods necessary to develop and interpret robust financial analyses so they effectively participate in and better understand decision making. This review discusses the financial drivers upon which health care organizations base investment decisions and the central role that stochastic financial modeling should play in support of strategically aligned capital investments. Given a health care industry that has been slow to embrace advanced financial analytics, a fundamental message of this review is that the skills and analytical tools are readily attainable and well worth the effort to implement in the interest of informed decision making. © RSNA, 2017 Online supplemental material is available for this article.

Full Text

Duke Authors

Cited Authors

  • Rubin, GD; Patel, BN

Published Date

  • May 2017

Published In

Volume / Issue

  • 283 / 2

Start / End Page

  • 342 - 358

PubMed ID

  • 28418824

Pubmed Central ID

  • 28418824

Electronic International Standard Serial Number (EISSN)

  • 1527-1315

Digital Object Identifier (DOI)

  • 10.1148/radiol.2017161800


  • eng

Conference Location

  • United States