We help health systems, ACOs, and growth-stage healthcare companies scale distributed care operations, build data infrastructure for clinical quality, and navigate AI transformation — with the operational playbook from someone who has done it at enterprise scale.
The healthcare industry is entering a period of unprecedented operational complexity. The shift to distributed care models, value-based payment, CMS regulatory evolution, and AI-enabled workflows is happening simultaneously Many organizations are working to navigate these shifts simultaneously, often without the benefit of fully integrated, enterprise-scale experience across all of these domains.
Nurtura exists because organizations need the operational playbook, systems architecture, and execution discipline that comes from someone who has actually built and run a nationally distributed, technology-enabled clinical care platform — through every phase of growth, from regulatory complexity and workforce design to payer contracting and AI implementation.
"Most consulting firms offer frameworks. Nurtura offers the operational scar tissue from actually building at enterprise scale."
End-to-end operational strategy and execution for healthcare organizations expanding into distributed, multi-site, or home-based care delivery models.
Distributed workforce architecture · Multi-market expansion · Enterprise health system partnership operationalization · Referral leakage analysis and retention strategy
Building the analytics foundation and interoperability architecture that makes CMS quality programs, value-based contracts, and new revenue service lines achievable — not theoretical.
MIPS/MACRA/MSSP execution · HL7/HIE interoperability · Enterprise KPI dashboards · Audit-ready compliance infrastructure · RTM program design
Guiding responsible AI adoption with deep understanding of both clinical workflow and regulatory constraints — from someone who implemented AI at enterprise scale across millions of visits.
AI documentation strategy · Compliance auditing at scale · Predictive analytics for utilization · AI readiness assessments · Enterprise transformation roadmaps with clinical safety guardrails
CEOs, COOs, CMOs, and VP-level leaders exploring distributed care expansion, service line growth, or operational transformation. They value operational credibility over consulting pedigree.
Medical directors and ACO executives focused on MSSP performance, total cost of care reduction, and quality program optimization. Deep CMS fluency is table stakes here.
Operating partners and portfolio company CEOs at firms investing in healthcare services, MSK, home health, or ambulatory platforms. They need operators who have scaled, not consultants who have theorized.
Payer leaders exploring MSK cost management, value-based PT programs, and network adequacy through distributed care models in the $600B+ MSK category.
Palak Shah is a healthcare operations executive with 18+ years of experience building and leading large-scale, multi-site clinical operations. As Co-Founder and Chief Clinical Officer of Luna Care Inc., she built and led all clinical operations, compliance, workforce infrastructure, and AI implementation for a nationally distributed ambulatory care platform operating across 28 states and 55 metro markets.
Under her clinical leadership, the platform scaled to $100M+ in annual recurring revenue with 3,500+ independent clinicians serving millions of patient visits annually. She managed a 60-person corporate organization, led clinical programs for enterprise partnerships with Mayo Clinic, Duke Health, UCLA Health, Scripps Health, Intermountain Health, and Providence Swedish, and achieved three consecutive years of CMS MIPS Exceptional Performance.
Prior to co-founding Luna, Palak served as a Physical Therapist in Orthopedics and Sports Medicine at Stanford Hospital, where she gained direct patient care experience alongside academic medical center governance and ambulatory care operations.
Today, through Nurtura Health Solutions, she advises health systems on integrating distributed, AI-enabled care models responsibly and works with early-stage healthcare startups to build the clinical and operational infrastructure needed to become AI-enabled while maintaining financial and regulatory discipline.