Artificial intelligence (AI) is revolutionizing the way healthcare professionals gain access to information in real-time and make decisions. When used properly, AI can reduce costs, automate manual processes, and improve the overall patient and clinician experience.
However, AI models are only as good as the data you provide them. Without clean, reliable, and accurate data – how can you build the models at scale and trust the insights derived from AI?
Access an interactive webinar to learn why you need high quality data to support AI models and how Rhapsody health solutions can help you efficiently scale and operationalize your data.
We’ve hosted this webinar twice to accommodate friends across the globe:
We cover:
- Observations and themes of HIMSS23
- How artificial intelligence is transforming healthcare
- The importance of semantic interoperability in building AI models
- Why terminology management needs to be part of your interoperability strategy
- Strategies to build a solid foundation of high-quality data
Meet the speakers:
Evgueni Loukipoudis, vice president of research and emerging technologies, Rhapsody
Evgueni has experience with building and scaling software development teams, delivering mission-critical software products in highly regulated industries such digital health. He is a strong advocate of collaborative innovation, multidisciplinary partnerships, and open standards and architectures, all of which help create thriving, scalable ecosystems. Evgueni is the vice president of research and emerging technologies at Rhapsody.
Tami Jones, solutions consultant, Rhapsody
Tami has an extensive background in healthcare, working in both the payer and population health management space. She has eight years of clinical terminology management experience and over six years of experience working at CareCom prior to the merger with Rhapsody. Tami is a solutions consultant at Rhapsody.
Shelley Wehmeyer, director of product and partner marketing, Rhapsody
Shelley dedicates her career to simplifying the complexities of health and social care delivery around the world with technology. Whether in the context of navigating the requirements of a new market, launching a new product, or enabling client-facing teams and clients on product strategy, the most rewarding part of Shelley’s experience is the ability to bring together cross-functional, cross-organizational teams to a common goal — doing what is best for the patient and the clinician.
