Algorithmic Intelligence for Operations Market Trends Report
Our latest report on evolving applications for AI in healthcare will be released in early December of 2021.
There are ever-proliferating information technologies being deployed to [theoretically] help streamline care and improve the efficiency of current operational processes. All of these systems are capturing and transmitting data, but making sense of the patterns and extracting insights from these feeds has historically only been possible with significant investments in data science resources. While this is still largely true, new solutions are being deployed to help find those insights with the help of artificial intelligence and machine learning – for our purposes collectively referred to as algorithmic intelligence, a more comprehensive 'AI.'
This report will focus on AI applications that address critical operational functions of healthcare organizations including revenue cycle management, prior authorizations, conversational AI, supply chain management, claims processing, scheduling and workforce optimization.
Share your information in the form to be notified when the report is available for purchase (includes a code for a 15% Early Bird discount), and registration opens for the accompanying webinars.
Below you can find some of our related coverage of this topic:
- The Promise of Artificial Intelligence and Machine Learning in Healthcare: Opportunities, Challenges, and Vendor Landscape (2020 Market Scan Report)
- AI and Recent Regulatory, Policy and Funding Updates (October 2020)
- Reducing Racial Bias in Analytics and AI in the Wake of Coronavirus and Black Lives Matter (August 2020)
- The Essentials of Health AI in a Post-Pandemic World - Webinar (June 2020)
- Natural Language Processing: Unlocking the Potential of a Digital Healthcare Era (2018 Market Scan Report)
- AI & ML in Healthcare: Part of the Toolkit for Administrators and Clinicians (April 2019)
- Claims Analytics Will Soon Not Be Enough for Effective Performance Improvement Programs (November 2019)
- Causality and Transparency: Next Steps in Deep Learning in Healthcare (October 2019)