Innovaccer on Thursday announced that its healthcare data interoperability platform, Gravity, is now available across the U.S. with general access expected over the next several months.
The platform was created to help healthcare organizations make better use of their data and accelerate artificial intelligence-driven digital transformation, the company says.
Innovaccer, a healthcare unicorn that achieved Series F funding earlier this year, says it's focused on enabling healthcare organizations, typically slow to fully harness data resources because of antiquated, siloed systems to deploy analytics rapidly.
"Health systems are under unprecedented pressure to do more with less, from improving outcomes to optimizing operations, all while managing rising costs," Abhinav Shashank, the company's cofounder and CEO, said in a statement announcing Gravity's broader availability.
The new healthcare intelligence platform could accelerate how developers deploy AI to unify data across healthcare organizations, from electronic health records and claims to financial, operational and other core systems, into a single source.
Value-based care (VBC) – which relies on real-time access to patient data to improve health interventions and personalize care – has, slowly but steadily, been replacing fee-for-service reimbursement models. Momentum toward value-based care is building faster now, according to the company's joint research with the National Association of Accountable Care Organizations.
In a survey of 168 healthcare professionals across 143 organizations, more than 60% said that they increased their participation in VBC programs, and 30% of respondents said that at least 25% of their revenue was tied to VBC contracts. Executive leaders comprised 52% of respondents, while 19% were clinical leaders.
The top three barriers to VBC adoption that respondents cited included financial risk (87%), provider resilience (80%) and lack of interoperability (75%), researchers said in the April report. However, many respondents – 65% – expressed optimism about AI's role in enhancing analytics in VBC arrangements.
"At the foundation of accountable care and population health management lies the strategic use of integrated data that drives insights and action," Emily D. Brower, NAACOS president and CEO, said in a statement about the study.
Healthcare IT News got in touch with Shashank on Thursday with some questions about how Innovaccer's new Gravity platform can help healthcare organizations democratize AI development and achieve those VBC goals.
Q. What makes it possible to get the Gravity healthcare intelligence platform up and running in 90 days?
A. Gravity is purpose-built for healthcare, so instead of starting from scratch, health systems inherit a robust, healthcare-native foundation. It comes with more than 400 prebuilt connectors, 100-plus out-of-the-box FHIR resources and premodeled data frameworks for clinical, financial and operational domains.
Integrations that usually take months, or even years, are compressed into weeks.
The platform’s low-code/no-code developer studio and pretrained AI agents eliminate long build cycles, so teams can launch their first use case in under 90 days with full compliance and governance built in from day one.
Q. How can the platform ease an organization's transition to VBC models?
A. Gravity accelerates the shift to value-based care by unifying fragmented data across EHRs, claims, quality, utilization and risk into a single source of truth.
It includes a preintegrated data model specifically designed for VBC workflows, enabling real-time insights into performance metrics like risk adjustment, gaps in care and utilization trends.
With AI-powered analytics and customizable dashboards, care teams and executives can proactively manage populations, improve outcomes and align incentives, without waiting for quarterly reports or building bespoke tools.
Q. Can you offer more detail on what the Gravity marketplace offers?
The Gravity Marketplace is a growing ecosystem of healthcare-ready content, built to help organizations scale innovation faster. It includes pretrained AI agents, reusable data models, clinical and operational rules, and integration templates, so teams don’t have to reinvent the wheel.
Whether you're building a staffing predictor, a care coordination workflow or a denials optimizer, the marketplace offers a plug-and-play starting point. It’s fully integrated with Gravity’s Developer Studio, allowing teams to customize and deploy solutions in a fraction of the time.
A. What models are the pretrained AI agents trained on, and how will these agents be monitored over time?
Gravity’s pretrained AI agents are built using a combination of domain-specific models, including healthcare-tuned machine learning models, neural networks and tools. They also leverage healthcare-specific small language models for accurate knowledge discovery.
These models are governed by guardrails that protect against unsafe outputs, privacy risks and compliance breaches. The underlying models are trained on anonymized healthcare datasets and fine-tuned for real-world use cases like risk stratification, denial prediction, operational forecasting and burnout detection.
All agents are versioned and tracked through the platform’s model cataloging, version control, and monitoring services. The overall model framework includes automated probing to assess fairness, privacy (e.g., HIPAA), security, reliability, safety, inclusiveness, transparency and accountability – ensuring each model meets clinical, ethical and regulatory standards both before and after deployment.
Retraining or fine-tuning can be done directly from AI Studio – keeping agents relevant, compliant and aligned with evolving data patterns.
Andrea Fox is senior editor of Healthcare IT News.
Email: afox@himss.org
Healthcare IT News is a HIMSS Media publication.
