McCrae Tech Introduces Orchestral: An AI Orchestrator Data Platform for Healthcare
Dec. 16, 2025 - McCrae Tech has launched Orchestral, which the company calls the first health-native AI orchestrator data platform. It connects diverse data sources with AI agents, workflows, and algorithms to support governed AI deployment across healthcare systems.
"Most information technology in healthcare falls into two camps: either a big, dumb bucket of cloud data or isolated pockets of AI cleverness," said Ian McCrae, founder of McCrae Tech. The goal with Orchestral is to offer something different-useful at the bedside and the boardroom.
What Orchestral Includes
Orchestral brings three core components together so teams can move from pilots to dependable operations:
- Health Information Platform (HIP): Ingests data from any source and delivers trusted, structured, standardized, and compliant health data.
- Health Agent Library (HAL): A governed registry of AI building blocks-models, tools, and agents-that the entire health system can use with oversight.
- Health AI Tooling (HAT): Tools for data analysts and scientists to build agentic workflows, clinical and operational reports, and quality measures.
Why This Matters for Care Delivery
Health systems are under intense pressure-rising costs, workforce burnout, and a persistent risk of diagnostic error. Lucy Porter, CEO of Orchestral, points out that estimates suggest a meaningful share of diagnoses globally are inaccurate or delayed, creating a major financial burden across OECD nations.
Many teams have tried one-off AI pilots, but scattered tools don't scale, and governance gets messy. Porter's view: without a dedicated orchestrator, safe, system-wide deployment stays stuck. Orchestral aims to be the trusted source for models, tools, and data connections so teams can deliver better care with consistency.
Practical Uses You Can Deploy
- Clinical signal-to-noise: Surface patient-specific insights from longitudinal data rather than flooding clinicians with raw feeds.
- Care coordination: Trigger agentic workflows for care gaps, transitions of care, and follow-ups tied to your pathways.
- Population health and quality: Standardize data for registries, risk stratification, and measure calculations-with clear lineage.
- Operational efficiency: Use governed agents for coding assistance, documentation support, utilization review, and audit readiness - see AI for Operations for practical approaches.
- Analytics activation: Move from static dashboards to workflows that act-under human oversight-when thresholds or events occur.
Governance, Safety, and Trust
Orchestral centers governance: a registry for models and agents, version control, audit trails, and role-based access so teams know who changed what and why. Human-in-the-loop checkpoints keep clinicians in control, while monitoring can flag model drift and performance changes before they affect care.
The Health Information Platform focuses on standards and structure, helping teams work with formats like HL7 and FHIR and common vocabularies. That structure supports explainability and makes it easier to meet privacy, security, and compliance requirements across sites and partners. Health system leaders looking to strengthen oversight can explore role-based resources such as the AI Learning Path for Business Unit Managers.
How Teams Can Get Started
- Connect priority data sources: EHR, labs, imaging, claims, care management, and device streams.
- Select governed agents from HAL and configure review steps that match your clinical pathways and policies.
- Start with one or two high-impact use cases (e.g., readmission risk and post-discharge follow-up), measure outcomes, then expand.
Built on Deep Health Data Engineering
Orchestral stems from decades of clinical data storage engineering-work that began within Orion Health and later spun out as McCrae Tech to tackle this platform at full scale. The intent is straightforward: connect trustworthy data with governed AI so healthcare leaders can improve outcomes and operations-without adding noise.
Upskill your team: If you're planning workforce enablement for AI in healthcare, consider role-based training such as the AI Learning Path for Training & Development Managers.
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