Innovaccer Inc., a prominent player in healthcare AI and a Certified Data Partner for the NCQA Data Aggregator Validation program, has unveiled its Government Health AI Data and Analytics Platform (GHAAP). This award-winning platform is among the first to offer comprehensive integration, interoperability, analytics, and AI solutions specifically designed for the public sector, with an initial focus on Medicaid and Public Health Modernization. Innovaccer’s solutions have been recognized by KLAS Research as the top Data and Analytics Platform for Population Health and have earned the top spot from Black Book for three consecutive years as the best end-to-end Population Health Solution. The platform also holds NCQA Measure Certification™ for Healthcare Effectiveness Data and Information Set (HEDIS®).
GHAAP builds on Innovaccer’s successful data and analytics platform, which has been utilized by leading healthcare organizations such as Banner Health, Kaiser Permanente, and PHMI for managing population health programs. It addresses the challenges posed by data silos and fragmentation within government health organizations, which hinder essential initiatives, limit data-driven decision-making, and impact community healthcare quality.
Government healthcare organizations recognize the importance of consolidating data from various sources and leveraging AI to meet growing consumer expectations effectively. GHAAP facilitates this by integrating clinical (claims, EHR, labs, pharmacy) and non-clinical data (SDoH) and using built-in AI to enhance health IT transformation and outcomes. This platform offers a chance to achieve significant operational efficiencies, manage IT costs better, and enhance care access, quality, experience, and equity.
Innovaccer’s development of this public sector-focused platform underscores its dedication to addressing the complex needs of government health and healthcare through innovative AI-driven solutions. GHAAP promotes data modernization and interoperability, enabling seamless data exchange and analytics. Its open, API-forward ecosystem fosters cross-agency collaboration, supports public/private health initiatives, and provides extensive support for third-party developers to create apps that improve provider quality, epidemiological analysis, and beneficiary care.
Key features of GHAAP include:
- Streamlined Data Exchange: Utilizes standards such as USCDI and over 138 APIs (including FHIR), along with Qualified Health Information Network collaboration, to enable secure, efficient data exchange with government agencies, providers, payers, labs, community-based organizations, and personal devices. The platform also offers compliance support for CMS-9115-F and CMS-0057-F.
- Unified View: Integrates traditional and non-traditional data sources, including EHRs, HIEs, SDoH, HMIS, CBOs, and Social Services, to provide a comprehensive view of each patient.
- Specialized Data Model: Features a government healthcare common data model, adapted from Innovaccer’s commercial model, to support Medicaid and public health programs with expansions for ADTs, case reports, lab reports, community-based organizations, registries, and vital statistics.
- Advanced AI Capabilities: Employs robust AI-based solutions to enhance predictive analytics, conduct what-if analyses, and streamline model operationalization workflows.
- Powerful Analytics and Applications: Provides customizable dashboards for quality, risk, and utilization, along with software applications for care management, patient outreach, patient journey automation, and consent management, tailored for effective care delivery.
Jami Snyder, Former Medicaid Director in Texas and Arizona, remarked, “With the launch of GHAAP, Innovaccer is tackling the persistent issue of data fragmentation in the public healthcare sector. The platform’s ability to unify diverse data sources and support AI-driven insights represents a significant advancement. This integration offers a more cohesive approach to healthcare, improving Medicaid operations and public health initiatives. The future of public sector healthcare relies on effective data harnessing and operationalization, and GHAAP is designed to achieve this.
