"Healthcare AI Outcomes"
Real Results. Real Health Systems.
For clinicians. For health systems. For patients. Every deployment is measured. Every outcome is documented.
Client Outcomes
Measurable results from health systems that have deployed Nova Insights AI agents across scheduling, post-discharge care, and administrative workflows.
More Time for Patient Care
Nova Insights AI agents were deployed to automate documentation and administrative workflows, returning 60–90 minutes per day to each clinician. The pilot study "Beyond the Hype: More Time for Patient Care" documents the deployment methodology and outcomes across clinical teams.
Empowering Elderly Care Through Human Connection
AI agents were deployed in elderly care settings to maintain continuous patient engagement, identify early signs of depression and cognitive decline, and coordinate human outreach — ensuring no patient goes without meaningful contact between care team visits.
Reducing Medical Errors Through Intelligent Automation
Purpose-built AI agents reduced clinical error rates through automated cross-system reconciliation, structured documentation, and exception flagging — escalating to human judgment rather than automating decisions that require clinical discretion.
Governing Mobile Devices in Clinical Environments
AI agents managed mobile device workflows across clinical settings — enforcing policy, logging activity, and integrating mobile inputs into EHR systems — without disrupting clinical efficiency or creating compliance gaps.
Day-of-Surgery Cancellations Cut from 17% to Under 2%
AI agents automated pre-surgical preparation, patient readiness verification, and real-time escalation workflows — eliminating the manual gaps that cause day-of-surgery cancellations. The outcome study documents a consistent reduction from 17% to under 2%.
Peer-Reviewed Research
Our outcomes are independently validated. The following studies document real-world AI agent deployments across clinical settings.
Beyond the Hype: More Time for Patient Care
A Pilot Study on AI Agent Deployment and Clinician Time Recovery
This pilot study examines the deployment of Nova Insights AI agents and their measurable impact on clinician time recovery. Findings document consistent savings of 60–90 minutes per clinician per day, with implications for burnout reduction, patient throughput, and healthcare system efficiency.
Download Full Paper (PDF)Empowering Elderly Care: AI Agents Enhancing Human Connection
How Purpose-Built AI Agents Are Transforming Care for Aging Populations
This white paper examines how AI agents can enhance — rather than replace — human connection in elderly care settings. It explores deployment models for monitoring, engagement, and care coordination that reduce isolation, improve safety outcomes, and free care staff to focus on meaningful human interaction.
Download Full Paper (PDF)AI Agents and Medical Errors: A Path to Safer Care
How Intelligent Automation Reduces Clinical Error Rates in Healthcare Systems
Medical errors remain one of the leading causes of preventable harm in healthcare. This white paper presents evidence that purpose-built AI agents — through automated cross-system reconciliation, structured documentation, and exception flagging — can materially reduce the frequency and severity of clinical errors in real-world deployments.
Download Full Paper (PDF)Addressing the Use of Mobile Devices for Care
AI-Assisted Governance and Workflow Integration for Mobile-First Clinical Environments
Mobile devices are now central to clinical workflows, yet most health systems lack governance frameworks that balance accessibility with security and compliance. This paper outlines how AI agents can manage mobile device workflows — enforcing policy, logging activity, and integrating mobile inputs into EHR systems — without disrupting clinical efficiency.
Download Full Paper (PDF)Reducing Day-of-Surgery Cancellations with AI Agents
From 17% to Under 2%: A Documented Outcome Study
Day-of-surgery cancellations are a significant source of revenue loss, scheduling disruption, and patient dissatisfaction. This outcome study documents how Nova Insights AI agents reduced day-of-surgery cancellation rates from 17% to under 2% through automated pre-surgical preparation, patient readiness verification, and real-time escalation workflows.
Download Full Paper (PDF)ATARC Agentic AI Working Group Report
Findings and Recommendations from the ATARC Agentic AI Working Group
This working group report examines the deployment of agentic AI systems across government and healthcare contexts, providing frameworks for responsible adoption, governance, and measurable outcomes. Includes case examples, risk considerations, and policy recommendations for agentic AI at scale.
Download Full Paper (PDF)Building a Comprehensive AI Adoption Playbook
A Practical Framework for Healthcare and Government AI Implementation
A step-by-step playbook for organisations navigating AI adoption — covering strategy, governance, procurement, change management, and measurement. Grounded in real-world deployments across healthcare and public sector environments.
Download Full Paper (PDF)Securing the Agentic State
Security Frameworks for Autonomous AI Agent Deployments
As agentic AI systems take on autonomous decision-making roles in healthcare and government, this report addresses the security implications — including threat modelling, access control, audit trails, and compliance requirements for HIPAA and FedRAMP environments.
Download Full Paper (PDF)Ready to See These Results in Your Health System?
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