Analytics & architecture
Contact our teamData, analytics, and AI are more critical than ever to health system strategy and performance, but realizing their full value requires an integrated technology and data foundation built to scale.
Chartis helps healthcare organizations align architecture, data, analytics, and AI with strategic priorities. By combining deep healthcare expertise with a multidisciplinary approach to digital and technology, we help build integrated, scalable foundations that improve decision-making, increase agility, and deliver measurable value.
Our Solutions
Analytics strategy and roadmap
We define analytics and AI strategies aligned with enterprise priorities and translate them into actionable roadmaps that bring focus to investments, strengthen decision-making, and drive measurable value.
Digital architecture and integration
We build flexible, scalable digital architecture that enables innovation, accelerates adoption of emerging technologies, and creates a foundation that can adapt as needs and priorities evolve.
Cybersecurity
We embed cybersecurity into core operating models to help organizations prevent attacks and prepare for disruption. By proactively identifying and mitigating risk, we strengthen defenses, safeguard patients, and build operational resilience.
Cloud strategy & hosting
We help healthcare organizations develop sustainable cloud strategies that balance performance, cost, security, and scalability. From strategy through execution, we align cloud investments with business, care delivery, and AI needs to deliver long-term value.
Research advancement
We strengthen and scale healthcare research enterprises across strategy, operations, technology, and grant development. Our integrated approach improves research performance, accelerates innovation, and positions organizations to compete more effectively for funding.
Turning data, technology, and AI into enterprise value
Digital transformation can improve care delivery, consumer experience, patient access, and health system performance, but technology alone won’t get health systems there. Leaders need integrated architecture, data, and analytics capabilities that turn information into better decisions and create the foundation for AI at scale.
That foundation is becoming increasingly critical as AI adoption accelerates. In 2024, 71% of U.S. hospitals reported using predictive AI integrated with their EHR, up from 66% in 2023. As adoption grows, health systems need scalable, secure architecture and a clear strategy connecting data, analytics, and AI to enterprise priorities and measurable clinical, operational, and financial outcomes.
Healthcare analytics and architecture built around value
Chartis brings unparalleled, deep expertise across the entire healthcare ecosystem. We connect architecture, analytics, and AI to enterprise priorities, helping health systems build and deploy capabilities that improve performance and deliver measurable value.
Our work is measured by the impact it creates for clients. KLAS Research named Chartis the Best Overall IT Services Firm and ranked the firm no. 1 in HIT Core Clinical Implementation Leadership and Financial and Clinical Improvement Consulting. Best in KLAS recognition reflects outstanding efforts to help healthcare professionals deliver better patient care.
Data, analytics, and AI only create meaningful value when health systems build an integrated foundation that improves decisions and performance today, while giving them the flexibility to adapt as technology, AI, and the needs of the organization continue to evolve.
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Frequently asked questions
How can health systems build an effective data, analytics, and AI strategy?
A healthcare analytics strategy should identify priorities such as patient leakage, quality, access, disparities, surgical supply costs, and employee retention, then determine the data, analytics capabilities, and technology architecture needed to support them. The strategy should also establish a roadmap for connecting those capabilities to measurable clinical, operational, and financial priorities.
What foundation do health systems need to scale AI across the enterprise?
Moving AI from promising pilots into day-to-day operations puts new demands on the health system. Leaders should prioritize an integrated foundation that brings together scalable architecture, high-quality data, analytics, interoperability, cybersecurity, and governance along with clear alignment to enterprise priorities and strong governance. Building these capabilities together allows organizations to scale AI, expand successful use cases, and adapt as the technology continues to evolve.
How should health systems prioritize investments in analytics and AI?
Leaders should evaluate opportunities against enterprise priorities, expected clinical, operational, and financial impact, organizational readiness, and ability to scale. Success should ultimately be measured by how analytics and AI improve decisions and performance, not by the number of tools, dashboards, or reports deployed. For example, one health system used analytics to identify market-share win-back opportunities, achieving a 47% visit conversion rate and generating more than $15 million in revenue.
From data hungry to insights rich: How a renowned children’s hospital is building a high-performing analytics program
This world-class institution needed an enterprise-wide focus and structure for its analytics program to advance operational excellence, improve outcomes, and further catalyze treatment innovation.
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