Struggling to create and maintain processes and procedures to comply with the No Surprises Act? ClaraPrice provides a comprehensive framework to create, manage, and maintain Good Faith Estimates for your facility's patients. Download, print, or upload estimates to the EHR and ensure your processes meet compliance.

Hospital Compliance and Revenue Cycle Solutions.  

ClaraPrice enables Hospitals to automate Price Transparency compliance with a system application that attaches directly to their existing EHR software (Epic, Cerner, Meditech, etc). The solution analyzes payment and Revenue Cycle data to make intelligent decisions about service pricing and publishes their pricing online in a manner that is compliant with all components of the legislative requirements. The software also acts as the monitoring mechanism required by CMS to attest to compliance.

With rich analytics and customizable dashboards built on our award-winning healthcare data platform, Pop-health analytics solution offers state-of-the-art visualization and dashboarding capabilities, powered by real-time health data efficiently unified from disparate sources, allowing for rapid computing and scalable access to give you actionable insights into quality, performance and cost metrics of your organization and help you achieve the desired clinical and financial objectives for your population health management programs.

Why Innovaccer 

• Ability to perform organization-wide and granular analysis to understand problem areas and address issues
• Built-in access controls to enable varied access to different users to enable collaborative effort without compromising on data security
• Real-time unified health data as the substrate for advanced analytics, generating actionable insights 
• Automated data alerts through emails to enable users to always be on top of important KPIs
• NCQA (HEDIS and AMP) and HiTRUST certified

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

The solution is an analytics platform that would allow fast, comprehensive, and customizable analysis of data to drive insights that would enable organizations to move closer to their goal of achieving quadruple aim - reduce cost, improve quality, improve the patient experience, and improved clinical experience. It also includes solutions capable of executing machine learning (ML) and artificial intelligence (AI) algorithms on big data across different customers.

While most of our features and functionality are pre-built, we collaborate closely with each client during the negotiation and implementation phases of each project to customize reports, workflows, etc. to best meet each client’s needs, and are willing and able to adapt our roadmap and client-specific efforts to further adapt our integrated data model platform and integrated applications. Innovaccer understands that value-based organizations require cohort-driven, strategy appropriate, and tactically relevant programs to drive provider and patient compliance. Innovaccer works together with the customer during the contracting and implementation phase to craft multiple programs that take client-specific needs into consideration, including the comprehensiveness and efficiency of cohort-specific evidence-based guidelines; benchmarking flexibility; and multiple risk model assignment.