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Driving AI adoption in clinical practice: a team play
1 April 2019

Driving AI adoption in clinical practice: a team play

The hype around AI is slowly starting to fade and something a lot more exciting is emerging; the first AI solutions that create value in your clinical practice. There are quite a few events that put Artificial Intelligence in the spotlight. These events, like the UK Sectra Customer meeting or the ESTI-Fleischner Joint Meeting are fantastic opportunities to assess the solutions that fit your team and patient needs. You’ll have the opportunity to hear from vendors like Aidence what is required to implement AI in your hospital.

AI adoption is a journey of aligning the right group of people who can create an impact on efficiency and quality; Aidence encourages radiologists to be the champions of this journey. Aidence brings together radiologists, developers and scientists to build Veye, our intuitive AI solution for medical image analysis. The Aidence team works from Amsterdam and released its first CE certified solution Veye Chest. Aidence’s vision is to design solutions that are automated, guideline driven and deeply embedded in your existing workflow. All three of these aspects are crucial to drive adoption:

Automation of repetitive and error-prone tasks supports radiologists and reduces workload, clicks and waiting times. Guideline based results empower radiologists to improve correct follow up and decrease variation in reporting. Lastly, computer-aided support should seamlessly integrate into the workflow. Aidence believes radiologists already have that user-interface; their PACS environment., Aidence first solution is Veye Chest, our automated nodule management assistant on CT Chest. Detecting, measuring and tracking nodule growth are crucial but time-consuming steps in the diagnosis and treatment of lung cancer. By automating these steps we allow the radiologist to focus their attention on more complex cases and patient care. Veye Chest is CE certified as a second or concurrent user and

Veye Chest

Veye Chest is used by our early adopters in the Netherlands, Sweden and the United Kingdom as part of their clinical practice. To get to this stage, we learned that adoption of AI goes beyond designing and validating the technology. Specifically, in this early market stage there is a lot of uncertainty around AI. To drive successful adoption requires dedicated ownership of the process. we believe that radiologists are the best positioned to take this ownership.

We’ve identified a couple of drivers that determine adoption success: First of all, it is about selecting the right problem to solve for your hospital. If we look at history, technology development and adoption take time and effort. Take the CT modality as an example: the first mathematical principles were published in the year 1917 and it has evolved ever since and the same applies to AI; it will not replace radiologists anytime soon. The ideal use case where AI can make an impact today is in supporting routine tasks of a low/medium complexity, which are time-consuming and error prone for the radiologist. Second, the impact of adoption goes beyond the clinical team. Many stakeholders outside the radiology department need to be involved, such as referring physicians, IT managers, privacy officers and budget holders. Their job performance is often measured on outcomes related to maintaining business continuity and avoiding risk. In the adoption of new technology it is important to answer the questions they have, and create success for all stakeholders.

Questions that might come up and demand answers from vendors:

  • How do you clinically validate your solutions?
  • Will your system use my hospital data to improve the algorithm? (the short answer is: no).
  • How do you integrate in the existing IT environment?
  • Who sees the output results? Only radiologists or also treating physicians?

The adoption journey is crucial to establish future AI-readiness in your department and hospital. We encourage the radiologists to be the champions of this journey and take ownership.

  • Understand the problem you would like to solve
  • Engage your team beyond the radiology department and help them get the right answers to their questions.

Events that put Artificial Intelligence in the spotlights are a great opportunity to start learning more and become the champion!

We look forward to seeing you at one of the upcoming events or approach us directly to continue the conversation. Schedule a meeting via: https://aidence.com/ or reach out directly to me (nynke@aidence.com)

This blog was earlier published in a modified version on the ECR/AIX blog as part of ECR 2019. The Aidence team will be attending UK Sectra Customer day (4th of April) and the ESTI-Fleischner Joint Meeting (9-11th of May)