Quality Improvement of Healthcare Services Through Data Analytics Processes

View Sample PDF

Author(s): Uzay Damali (University of Wisconsin, La Crosse, USA)and Ahmet Semih Ozkul (University of New Haven, USA)
Copyright: 2023
Pages: 18
Source title: Advancement in Business Analytics Tools for Higher Financial Performance
Source Author(s)/Editor(s): Reza Gharoie Ahangar (Lewis University, USA)and Mark Napier (Lewis University, USA)
DOI: 10.4018/978-1-6684-8386-2.ch004

Keywords: Accounting and Finance / Business Science Reference / Data Analysis & Statistics / Library & Information Science

Purchase

View Quality Improvement of Healthcare Services Through Data Analytics Processes on the publisher's website for pricing and purchasing information.

Abstract

Improving quality of care is one of the priorities of policymakers in the U.S. While the spending on quality of care in the U.S. is the highest among all the developed nations, the desired health outcomes achieved have been below many of them. The largest portion of personal health care spending in 2019 went toward hospital care (37.2%), which was followed by physician and clinical services (24.1%). In this chapter, the authors focus on these direct care services, specifically explaining how hospitals and clinics can improve health and financial outcomes using data analytics. Specifically, building on CRISP-DM, a data mining process model, the authors explain the healthcare data analytics processes for hospitals and clinics to improve quality and financial performance.

The IRMA Community

Research IRM

Quality Improvement of Healthcare Services Through Data Analytics Processes

Purchase

Abstract

Related Content

IRMA Sponsors