Nabla and Navina Integrate AI Tools to Support Clinical Workflows

zapier ai Nabla and Navina have announced an integration of their respective artificial intelligence technologies to provide an AI layer that supports clinical workflows. The collaboration is intended to deliver real-time assistance throughout the entire clinical encounter.

The integrated system combines Navina’s clinician copilot with Nabla’s in-visit ambient documentation. By aligning historical patient data with real-time patient interactions, the integration is designed to help improve both patient outcomes and financial performance.

Navina, which was founded in 2018, developed a clinician copilot that presents actionable insights on a patient’s health history at the point of care. Its system supports physicians involved in value-based care models and consolidates data from multiple clinical sources to offer in-visit insights. These include missed conditions, unresolved care gaps, and coding opportunities in real time.

Nabla, also in operation for seven years, provides technology that automates clinical note-taking. According to executives, the company’s capabilities extend beyond ambient documentation, with its tools increasingly being used to automate more workflows and reduce repetitive tasks.

The joint solution, according to both companies, will improve care quality and enhance documentation accuracy for reimbursement purposes. It is also intended to help lessen clinician workload and address burnout.

Navina’s proprietary engine incorporates Nabla’s ambient conversation data and connects it with historical information from labs, imaging, unstructured notes, and audio files.
Executives from both companies stated that the integration is aimed at reducing the need for clinicians to switch between notes, electronic health records, and third-party applications. They noted that the AI layer is being developed to function alongside clinicians in ensuring accurate care delivery, correct medical coding, and the retention of clinically relevant information.

Alex Lebrun, cofounder and CEO of Nabla, stated, “Our partnership with Navina reinforces our commitment to embedding deeper and broader capabilities across clinical workflows.” He also said the collaboration has the potential to equip clinicians with timely insights to elevate patient care while improving documentation accuracy and reimbursement.

The companies emphasized that physicians are working within a healthcare system marked by rising administrative responsibilities and stricter compliance and documentation standards. They referenced increasing regulatory pressure for providers to participate in downside-risk arrangements, with the Centers for Medicare and Medicaid Services (CMS) and the Center for Medicare and Medicaid Innovation (CMMI) moving in that direction. In such a setting, accurate and clinically sound documentation becomes increasingly critical.

Nabla and Navina stated that their partnership aims to help providers close care gaps, improve audit-ready documentation, and support reimbursement. They said that by combining Nabla’s ambient visit data with Navina’s condition suspecting and care gap engines, their solution can help organizations such as health systems, ACOs, MSOs, and medical groups improve quality metrics, risk adjustment, clinician satisfaction, and patient outcomes.

Navina recently completed a $55 million Series C funding round in March, led by Growth Equity at Goldman Sachs Alternatives, with participation from Vertex Ventures Israel, Grove Ventures, and ALIVE. Nabla subsequently raised $70 million in its own Series C round last month, led by HV Capital. hitconsultant.net+4navina.ai+4PR Newswire+4

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Enhanced Section: How Zapier AI Can Complement the Integration

To further extend the power of this combined clinical solution, the integration could leverage zapier ai capabilities for automated workflows, data orchestration, and system interoperability. Using zapier ai, the clinical platform might:

• Trigger automated actions (e.g. notifying care teams, updating dashboards, flagging lab orders) directly from in-visit insights.

• Bridge between disparate health IT systems by mapping triggers and actions across EHRs, lab systems, messaging tools, and analytics.

• Summarize or extract actionable elements (e.g. care gaps or lab alerts) and route them through secure pipelines without manual handoffs.

• Create audit logs or notifications when certain clinical thresholds or documentation triggers are met.

By embedding zapier ai as an orchestration layer beneath or alongside the clinical AI tools, organizations can reduce integration friction, streamline handoffs, and maintain flexibility for expanding workflows.

In that way, the combined Navina–Nabla system might evolve to not only unify ambient conversation and data insights but also automate downstream clinical operations — making the clinician experience even smoother and outcomes more tightly aligned.

This partnership between Nabla and Navina marks a step toward more unified, context-aware clinical systems. Their integration promises to reduce administrative burden, ensure more accurate documentation, and support clinicians with real-time insight. When augmented with orchestration layers like zapier ai, the potential grows further — allowing seamless automation, interoperability, and enhanced value across the care continuum.

As regulatory demands tighten, risk models expand, and reimbursement audits intensify, provider organizations will increasingly need technologies that combine insight, documentation, and automation — all woven into the flow of patient care. This integration may represent a model for how modern clinical systems evolve: insight engines + ambient capture + workflow automation.