Do-It-Yourself Business Intelligence for the Radiologist-Lessons Learned From 10-Year Trends in an Abdominal Imaging Division at a Tertiary Medical Center.

J Am Coll Radiol

Director, Gastrointestinal Radiology, Department of Radiology, University of Washington, Seattle, Washington; Editor-in-Chief, Current Problems in Diagnostic Radiology. Electronic address:

Published: February 2022


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

"Big data" has changed the way businesses operate in finance, insurance, communications, manufacturing, and logistics, with companies reporting successful outcomes from the implementation of data-driven analytics. Health care has slowly started leveraging big data analysis to identify more cost-efficient and effective care for patients. Business intelligence software aims to help with this transition, converting large data sets into useful, actionable information. Radiology practices have used business intelligence toolkits in the past to increase reading room productivity, scanner efficiency, and patient throughput. Although these tactics have driven down costs and increased volumes, an essential aspect of radiology practice growth-consumer satisfaction-remains largely unexplored. The first commandment of marketing is "know thy customer," which is the key to increasing radiology's value to referring clinicians who use our services. Our article explores the business case behind a basic business intelligence model, giving any radiologist the instruments to access and draw business conclusions from their radiology information system data.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jacr.2021.10.007DOI Listing

Publication Analysis

Top Keywords

business intelligence
16
business
5
do-it-yourself business
4
intelligence
4
intelligence radiologist-lessons
4
radiologist-lessons learned
4
learned 10-year
4
10-year trends
4
trends abdominal
4
abdominal imaging
4

Similar Publications

This cross-sectional study aims to demonstrate the impact of China's 2015 review and approval reform on the delays in market entry for novel geriatric drugs, as well as the capability of domestic innovation in developing geriatric drugs. We analyzed the novel geriatric drugs approved by the US Food and Drug Administration (FDA) between 2005 and 2024 to assess the drug lags in China by using the EU and Japan as comparators. During this period, the FDA approved a total of 183 novel drugs targeting geriatric diseases, of which 109 were also approved by the NMPA.

View Article and Find Full Text PDF

Advances in food flavor analysis and sensory evaluation techniques and applications: Traditional vs emerging.

Food Chem

September 2025

Guangdong Key Laboratory of Intelligent Food Manufacturing, Foshan University, Foshan, Guangdong 528225, China; School of Food Science and Engineering, South China University of Technology (SCUT), Guangzhou 510641, China.

Food flavor represents a complex, multisensory experience shaped by the interplay of volatile and non-volatile components, texture, and consumer perception. This review examines both traditional and emerging technologies in food flavor analysis, focusing on their applications, strengths, and limitations. Although traditional methods, such as sensory evaluation and chemical analysis, provide valuable insights, they are constrained by subjectivity and the inability to fully capture the dynamic nature of flavor perception.

View Article and Find Full Text PDF

Substitute economics and the threat of artificial intelligence providing pharmaceutical care.

Am J Pharm Educ

September 2025

Department of Pharmacotherapy, University of Utah College of Pharmacy, 30 South 2000 East, Salt Lake City, Utah 84112. Electronic address:

The accelerating adoption of artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, has raised critical questions about the role of pharmacists and the potential for AI to substitute for human expertise in pharmaceutical care. Grounded in Porter's Five Forces framework-specifically the threat of substitutes-this commentary explores whether AI can adequately fulfill the complex and relational functions of pharmacists in delivering care to patients. Drawing from foundational definitions of pharmaceutical care and economic theories of substitution, the paper examines both historical and emerging competitors to pharmacist-provided services, including physicians, nurses, and now AI-powered tools.

View Article and Find Full Text PDF

Responsible artificial intelligence (AI) in healthcare: a paradigm shift in leadership and strategic management.

Leadersh Health Serv (Bradf Engl)

September 2025

School of Business and Law, CQUniversity Sydney, Sydney, Australia.

Purpose: This paper aims to explore the paradigm shift in leadership and strategic management driven by the integration of responsible artificial intelligence (AI) in healthcare. It explores the evolving role of leadership in adapting to AI technologies while ensuring ethical governance, transparency and accountability in healthcare decision-making.

Design/methodology/approach: This study conducts a comprehensive review of current literature, case studies and industry reports to evaluate the implications of responsible AI adoption in healthcare leadership.

View Article and Find Full Text PDF