Healthcare AI Moves From Pilots to Production: What Leaders Need to Know
Hospitals have shifted from proofs of concept to real, day-to-day deployment of AI. Industry data indicates 80% of hospitals now use AI for operations and patient care, with a projected market expansion from $17.2 billion in 2025 to $77.2 billion by 2035.
The priority has moved to agentic platforms that automate multi-step workflows with oversight. The advantage goes to companies turning AI into measurable results-faster documentation, fewer handoffs, lower costs, and clearer ROI.
Five Companies Converting AI into Operational Wins
Ventripoint Diagnostics: Advanced Cardiac Imaging for Remote Care
Ventripoint Diagnostics (TSXV: VPT) (OTCPK: VPTDF) announced a partnership with the Nisg̱a'a Valley Health Authority to bring advanced cardiac assessments to remote and Indigenous communities. The hub-and-spoke model lets local teams capture 2D ultrasound, then transmit scans to a central hub where Ventripoint's VMS+ converts them into 3D volumetric models with MRI-level accuracy for rapid interpretation.
"Through our collaboration with the Nisg̱a'a Nation, we are creating a scalable model of heart care that can extend from the Arctic to the Amazon," said Hugh MacNaught, CEO of Ventripoint. The approach aims to cut travel, cost, and delays by enabling precise assessments at the point of care.
"For NVHA, this collaboration is about more than technology. It is about advancing health sovereignty for the Nisg̱a'a Nation," said Corinne McKay, CEO of Nisga'a Valley Health Authority.
The company named David Swetlow as CFO in October to support a refreshed commercial strategy. Ventripoint also initiated a validation study with Providence Health Care Ventures at St. Paul's Hospital in Vancouver to evaluate whether AI-enhanced echocardiography can reduce cardiac MRI demand, with implementation expected in early 2026. A shift to a Device-as-a-Service model is underway to shorten sales cycles and build recurring revenue, supported by renewed distributor commitment from AngioPro in Europe.
Further reading on Ventripoint's model
Doximity: AI Workflow Tools at National Scale
Doximity, Inc. (NYSE: DOCS) reported fiscal 2026 Q2 revenue of $168.5 million, up 23% year-over-year, with record adoption of its AI workflow tools. AI Scribe and DoxGPT users grew over 50% from the prior quarter, and 650,000 prescribers used the platform's tools to streamline documentation and patient care.
Operating cash flow reached $93.9 million, up 37% year-over-year. The company raised full-year revenue guidance to $640-$646 million and expanded AI-powered reference and search features that help clinicians access peer-reviewed information while managing virtual visits and administrative tasks.
Oscar Health: Member-Facing AI Agent + Florida Expansion
Oscar Health (NYSE: OSCR) rolled out Oswell, a personal health AI agent, to support members across medications, test results, symptoms, and refills by drawing from medical records, care guides, and plan benefits. As of September 30, 2025, the company serves 2.1 million members.
New individual and family plans in Southern Florida launch January 1, 2026, with zero-cost virtual care connected through the AI agent. Partnerships include Baptist Health, HCA Healthcare, Jackson Health System, and the University of Miami Health, with member experience metrics showing more than three in five members would recommend Oscar.
Cognizant: Agentic AI for Enterprise-Grade Workflows
Cognizant (NASDAQ: CTSH) is deploying Anthropic's Claude to up to 350,000 associates and integrating the models into client platforms across engineering and delivery. The effort combines Claude models with Cognizant's Flowsource Platform, Neuro AI Multi-Agent Orchestration, and Agent Foundry-giving clients a path from experimentation to scaled production workflows with human oversight.
"Enterprises are moving beyond simple productivity gains toward a more connected, agentic future," said Ravi Kumar S, CEO of Cognizant. Initial focus areas include software engineering productivity with Claude Code, legacy system modernization, and regulated vertical solutions beginning with Financial Services.
Certara: Faster Regulatory Outputs with Phoenix Cloud
Certara, Inc. (NASDAQ: CERT) launched TFL Studio, the first cloud-native module of Phoenix Cloud, which automates creation of Tables, Figures, and Listings for clinical trial submissions. The company reports a 50% reduction in time to produce these components.
A complementary AI PK Reports module uses generative AI (via CoAuthor) to convert outputs into draft pharmacokinetic reports in minutes. Phoenix Cloud integrates with Integral, Certara's data repository, providing a single source of truth for PK/PD data used by more than 2,400 biopharma companies and academic institutions.
What Healthcare Leaders Can Do Now
- Target bottlenecks with clear ROI: documentation, prior auth, imaging triage, scheduling, and care coordination.
- Demand measurable outcomes: time saved per clinician, reduced MRI utilization, faster turnaround, and fewer errors.
- Integrate with existing systems: EHR, PACS, and identity management. Prioritize API-first vendors.
- Build guardrails early: privacy, audit trails, PHI access controls, and bias monitoring aligned to internal policies and external guidance such as the FDA's AI/ML approach for SaMD and the NIST AI Risk Management Framework.
- Keep humans in the loop: require review for clinical outputs and set clear escalation paths.
- Shorten the path from pilot to scale: define a 90-day plan with procurement, IT security, clinical champions, and change management.
Helpful references:
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