VOL. 2, ISSUE 4 | SEPTEMBER 2023
Unlocking RCM Potential: How AI Is Shaping XiFin Workflow
On September 6, 2023, Jeff Carmichael, XiFin Senior Vice President of Engineering, presented a webinar showcasing how XiFin is using artificial intelligence (AI) to inform and improve the patient experience, identify and adapt to changes in payor behavior, and automate workflow to create new efficiencies. View the webinar recording by logging into XiFin U. The webinar provides an introduction to AI, including the types of AI that are relevant to the work we do for our customers at XiFin: machine learning, natural language processing, generative AI, and large language models. It also presents a model that organizational leaders can use to determine the AI maturity of their organization and includes a discussion of the journey from data as a siloed activity to embedded AI that is core to driving optimal business outcomes.
Over the last 25 years, XiFin has invested significant effort in structuring the XiFin RPM platform as a modular architecture with an underlying data approach that keeps it future-ready. It is this foundation that allows XiFin to realize the benefits of AI in a cost- effective and efficient way for our customers.
Removing friction from the patient experience The webinar also covers several examples of how AI and automation are being built into XiFin RPM. The first example improves the patient and physician experience using AI to discover complex payor information. In this scenario, a patient provides their insurance subscriber number at the time of service or via the XiFin Patient Portal or Client Portal. That subscriber number alone, however, is not sufficient to confirm eligibility or benefits coverage, which is essential to providing an accurate estimate of their potential out-of-pocket expenses. AI can discover and apply the payor
plan details for that claim so that it can be processed without manual intervention. Thereby reducing the administrative burden on the patient and the ordering physician. Analytics and AI-enabled workflow automation XiFin has invested significant effort in structuring the complex RCM data required to develop effective machine learning and AI models. The second example demonstrates how XiFin RPM allows organizations to address and adapt to changes in ordering patterns, payor responses, and payor reimbursement behavior.
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