AI in Healthcare, Tangible Benefits and Return on Investment
By Jan Sevcik  |  Jan 21, 2022
AI in Healthcare, Tangible Benefits and Return on Investment
Image courtesy of and under license from Shutterstock.com
Where to begin for those delving into artificial intelligence in healthcare for the first time may be a bit of a conundrum, but Jan Sevcik shows organizations a path that provides tangible benefits and creates momentum.

CHATTANOOGA, TENNESSEE - There are many challenges in healthcare that can be solved with artificial intelligence (AI) but for organizations just beginning to venture into AI, deciding where to begin can seem daunting. Following a process to evaluate competing projects can provide a pathway to selecting projects that provide optimal benefits and create momentum. Following that evaluation process can help ensure success, but it is also important to remember that inaction has a cost too. Delaying a decision on which project to select for 90 or 120 days may not seem that significant, because the knowledge gained in that process could result in the team being able to tackle more significant challenges in the future, but even a short delay can have a compounding effect.     

When considering projects, a good place to begin is with the basics, such as whether the project has a tangible benefit, what data is available, and does the team have the expertise to execute. The team could be either internal, outsourced, or a combination of both.  

In healthcare, tangible benefits are usually reduced cost, increased revenue, a combination of both or improved quality of care or outcomes. Tangible benefits that are based on reduced costs or increased revenue can be easier to forecast when building a return on investment (ROI) model. Projects which improve quality of care or outcomes generally require a longer time horizon but there are many worthwhile projects that can be considered.   

Defining the success criteria is an important component to developing the ROI. For projects which reduce costs, a model which is as accurate or slightly better than the current manual process but reduces costs between at least 30-50 percent could be a winner. A vendor recently stated that their technology correctly predicted 91 percent of the events for a particular use case. While on the surface,

The content herein is subject to copyright by The Yuan. All rights reserved. The content of the services is owned or licensed to The Yuan. The copying or storing of any content for anything other than personal use is expressly prohibited without prior written permission from The Yuan, or the copyright holder identified in the copyright notice contained in the content.
Continue reading
Buy this article for only US$1.99
- or -
Continue with Linkedin Continue with Google
Comments X
Share your thoughts.
The Yuan wants to hear your voice. We welcome your on-topic commentary, critique, and expertise. All comments are moderated for civility.