It may seem like every conversational AI vendor is saying the same thing these days. SoundHound’s Amelia Conversational AI Platform stands out as the most trusted among healthcare organizations because:

• Our proprietary voice AI with our best-in-class conversational and generative AI capabilities powers secure, omnichannel, natural-language AI agents for patient-facing, member-facing, and employee-facing use cases. 
• Our AI agents integrate with EHRs like Epic and Cerner, as well as CCaaS platforms, to fully automate personalized, end-to-end resolutions for patients, members, and employees.
• Our platform is currently in production with some of the largest health systems in the United States and conducts thousands of concurrent interactions every day.

With our Amelia Platform, leading health systems experience:

• ~$4M saved annually on 1 million inbound patient calls
• 4.4/5 patient satisfaction scores from AI agent interactions
• <1 minute average time-to-resolution for employee help desk requests

We believe every brand should have a voice and every person should be able to interact naturally with the products around them—by simply talking.

SoundHound’s independent voice AI platform connects people to brands through customized conversational experiences that voice-enable products, services, and apps while giving companies access to their valuable data and analytics for greater control and brand ownership of the customer experience.

The solution helps health systems to take a step-by-step approach to manage risk from population- to patient-level with easy to use dashboards powered by clinical and claims data. First, it helps understand the current state of risk management in the network with historical comparison to previous years risk scores. Second, it can answer “where to focus” by identifying the cohorts with the least risk recapture rates or maximum dropped/suspect codes, chronic disease distribution, month on month risk capture trend and more. Third, it helps prioritize patients with the largest number of coding gaps and get patient-level risk information to redirect resources strategically that reduces overall risk for the population.

Innovaccer is the data platform that accelerates care innovation through innovative AI technologies. Innovaccer’s AI-powered healthcare platform unifies patient data across systems and care settings, and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is an industry-leading data and analytics platform, the Best in KLAS CRM solution, and the #1 rated population health technology platform by Black Book

Our Conversational AI platform is:

• A voice-enabled platform for contact center transformation
• Omnichannel (voice, SMS, webchat, etc.)
• Fully interoperable with existing CCaaS technology
• Able to respond using answers generated from a health system's website content, as well as from pre-determined FAQs

Our Conversational AI platform:

• Communicates using human-like natural language
• Leverages our proprietary voice AI
• Is end-to-end fully interoperable with Epic and other EHR systems
• Is a universal platform for patient-facing, member-facing, and employee-facing use cases
• Scales to handle thousands of concurrent interactions
• Has financial stability from being part of the largest public conversational AI company

Innovaccer's coder assistant identifies missing codes based on claims data and suggested clinical markers, helping avoid improper data submission and related consequences such as lengthy audits and repayments to CMS. The solution enables physicians and coders to save time by identifying information that could not be directly found in the patient's clinical or claims data. Failing audits, repayments to CMS, and legal ramifications are some of the unfortunate outcomes of improper data submission. Automation helps overcome these challenges by detecting suspect and dropped codes while reducing administrative burden.

Innovaccer’s risk management solutions support these efforts to help healthcare providers achieve their risk goals. The AI-powered coder assistant helps providers address coding challenges by analyzing dropped codes and reviewing claims data over multiple years to identify prospective coding opportunities and surface suspect codes based on evidence. This enables them to receive appropriate reimbursements by providing high-quality care to patients