More real-world studies crucial to understanding AI's value in healthcare

by John R. Fischer, Senior Reporter | July 26, 2023
Artificial Intelligence Business Affairs
More real-world clinical studies are required to show providers the value that AI can bring to their operations and care needs.
In healthcare today, providers are looking to learn more about the potential value that AI applications can bring to their operations and care practices. According to a 2022 study conducted by the U.S. Government Accountability Office, the need for more real-world studies on these solutions in diverse clinical settings is one of the major barriers to their widespread adoption.

iCAD, a developer of AI software for breast cancer diagnostics, discussed this issue at the AHRA (Association for Medical Imaging Management) 2023 annual meeting, held from July 9-12 in Indianapolis, where it showcased its ProFound AI Suite for breast cancer care, including detection (ProFound AI Detection), density assessments (ProFound AI Density Assessment), and short-term risk evaluation (ProFound AI Risk).

iCAD CEO and president Dana Brown told HCB News that ProFound AI's capabilities "offer a return on investment for customers and can even be a catalyst for substantial growth in their practices," based on real-world results around its use in different clinical settings

The company presented these findings to show providers the value that they and other similar machine-learning solutions can offer. Here are a few of those insights:

Detects cancer the first time around
Exam errors or inconclusive results can require repeat testing, subjecting patients to what can be traumatic or anxiety-provoking experiences a second time. In cases involving X-ray, CT, and mammography, patients are also exposed to additional radiation and its associated risks.

Naugatuck Valley Radiology, in Connecticut, implemented ProFound AI Detection in 2021 at its three locations and found that its sensitivity enabled physicians to identify more "subtle breast abnormalities" without increasing recall rates. It also decreased interpretation times on average by 30 seconds per case.

Creates trust in providers
Kettering Health, in Ohio, integrated ProFound AI Detection in 2020 across its enterprise and found that patient volume rose 15% without the organization needing to invest in more staff, saving it money. Additionally, it facilitated such a satisfactory experience among women who came in for screenings, that many opted to return to it for their follow-up exams.

“We are now reading in almost real time — in fact, patients are increasingly telling us how impressed they are that their results are ready before they even walk out the door,” said director Sally Grady, of Kettering Health Breast Centers.

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