Three Steps to Take Now
Using artificial intelligence in medical imaging is no longer an option, and providers that fail to incorporate AI technology run the risk of being left behind in value-based clinical care and cost optimization. Our blog describes the three steps you must take now.
Offering Details
Improved data governance. Accessible, clean data that is accessible outside the primary applications which created it is crucial to AI adoption. Too often, software is written for diagnostic applications to speed up their performance, weakening the adherence to informatic standards (so crucial to data sharing). Advocate AI services explore the quality of the data and ensure that it is vendor-neutral.
Qualified evaluation on your patient population. Because there are multiple AI solutions that can address the same clinical problem, choosing the best matching AI to your clinical practice is what Advocate AI is all about. Create anonymized cohorts and execute candidate algorithms against your patient population. The result is the insight into how you should/could adopt the algorithms and tune their specificity/sensitivity to your needs.
New revenue source. Joining the data cooperative of NTT DATA allows each site privileged access to anonymized studies for machine learning and pharmaceutical trial evaluation. Advocate AI allows you to leverage our data curation services, and with your site permission, we convert access to data into revenue. Confidentiality and participation choice are the core principles we’ve used in over 20 years of managing clinical data.
We offer a full suite of enterprise imaging and analytics including infrastructure, managed services and consulting as part of our Nucleus for Unified Clinical Architecture.
Key Benefits
- Improve vendor-neutral data quality
- Secure data curation for peace of mind
- Advancing AI in your imaging sciences
- Services for evaluating AI tools on your data
- Monetizing data from data leasing and clinical trials
