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So with all of these incredible innovations, let’s take a moment to narrow our field down to Revenue Cycle Management (RCM). How can we be using technology to optimize RCM? And even more specifically, what role can data analytics and AI play in optimizing RCM? We would love to hear from all of you as well!
Products Deacon Health launched its specialty care management platform , which supports patients with multiple chronic conditions. MDaudit released AI Assist to help answer queries from RCM professionals. Data platform MedeAnalytics launched Health Fabric on the Snowflake AI Data Cloud.
AI-powered revenue cycle management (RCM) systems streamline billing and coding processes, reduce claim denials, and optimize revenue capture. By automating routine tasks, these technologies allow HI professionals to focus on more strategic activities, improving both efficiency and the overall quality of data management.
Researchers at MIT have found that de-identified patient data runs an extremely low risk of being re-identified in the event of a data breach. Study authors concluded that that the potential risk to patient privacy in sharing de-identified data is greatly outweighed by the gains for patients through medical research.
Remote monitoring company Clear Arch Health released a mobile app that patients access to healthdata, educational resources, and messages from providers. Dental software maker Henry Schein One is partnering with VideaHealth to release AI-enabled X-ray analysis tools.
Lastly, data analytics resolves remaining duplicates and checks for overlays. Using intelligent automation to improve healthdata produces better results faster than manually performing the tasks. Automation is making a big difference in revenue cycle management (RCM). Previous steps are then rerun.
AI and Automation in RCM is All About Balance. Clean, Usable HealthData and the Impact of Sharing Data with Partners. Hospital Readmissions and Post Acute Care. Big Bet on FHIR Pays Off. Are Blogs Still Worthwhile? An Interview with Jane Sarasohn-Kahn. The Increasing Importance of Payments in Healthcare.
However, while there’s plenty of hype around generative AI, few companies possess the depth and quality of healthdata and financial resources to accurately train models with the goal of making healthcare more affordable, equitable, or effective.
The first quarterly Healthcare IT Market Report from Pivot Point Consulting hinted at a continued need for providers to develop long-term strategies around virtual care, customer relationship management, and RCM optimization. Partnerships.
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