Discover how AI can capture more revenue in your payment lifecycle
Visit us in booth 9000-24, Hall F in the Innovation Live Pavilion at the HIMSS'19 Annual Conference & Exhibition, February 11-15, 2019 at the Orange County Convention Center in Orlando, Florida.
Learn about the newest feature in our cloud-based, Patient Access Software, the Prior Authorization Determination Engine. An automated decision engine, using AI and machine learning, that provides you with a real-time decision whether a preauthorization is required or not, reducing uncertainty and optimizing your scheduling.
Schedule a demo and learn about our innovative and scalable patient access and RCM solutions to help you preserve and capture more revenue in your payment lifecycle.
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Attend our Session on the Development of AI for Revenue Cycle
The rapid development and improvements in AI algorithms and their ability to impact healthcare will have significant implications on revenue and payment processes. One area with immediate value is the application of AI to enable physicians to get paid consistently and accurately. AI will enable accurate requirements for prior authorizations, improved coding, reduced gaps, and billing errors. AI will also proactively identify denials and help prioritize A/R to identify feasibility of both payer and self-pay collections.
Navaneeth Nair has been in healthcare technology for more than 16 years, focused on patient experience and access with some of the largest healthcare payers in the industry. He has spent the last 6 years focused on the application of AI to engage patients and amplify business process improvements.
NAVANEETH NAIR
VP OF PRODUCT, INFINX
About Infinx
You need both automation and expertise to realize more revenue.
- Preserve revenue before appointments with the Infinx Patient Access Software and maximize revenue after service with our Denial Management Software
- One single platform that provides accurate, timely, and real-time data
- Fully automate and streamline manual and repeated tasks using AI
- Seamless HL7 integration with your EHR and a vast network of clearinghouses
Our Patient Access & Denial Management software provides intelligent, cloud-based software driven by AI, with exception handling by our prior authorization and billing specialists to successfully manage your entire healthcare payment lifecycle.
You need both automation and expertise to realize more revenue.
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Applying AI + HI (Human Intelligence) for Revenue Cycle
Thursday, February 14 from 2:45-3:05 PM | Lightning Sessions Theater | Hall D
Infinx provides innovative and scalable patient access and RCM solutions for healthcare providers, hospitals, imaging centers, and laboratories. Combining intelligent, cloud-based software driven by artificial intelligence, with exception handling by our prior authorization and billing specialists, we help clients preserve and capture more revenue, enabling them to shift focus from burdensome administrative details to billable patient care.
Contact us to schedule a meeting or to demo our solutions at HIMSS'19!
Our Patient Access & Denial Management software provides intelligent solutions to successfully manage your entire healthcare payment lifecycle.
The rapid development and improvements in AI algorithms and their ability to impact healthcare will have significant implications on revenue and payment processes. One area with immediate value is the application of AI to enable physicians to get paid consistently and accurately. AI will enable accurate requirements for prior authorizations, improved coding, reduced gaps, and billing errors. AI will also proactively identify denials and help prioritize A/R to identify feasibility of both payer and self-pay collections.
Navaneeth Nair has been in healthcare technology for more than 16 years, focused on patient experience and access with the largest healthcare payers. He has spent the last 6 years focused on the application of AI to engage patients and amplify business process improvements.
Applying AI + HI (Human Intelligence) for Revenue Cycle
Thursday, February 14 from 2:45-3:05 PM | Lightning Sessions Theater | Hall D