Data & AI
Strategies for enabling transformational value with data, analytics, and artificial intelligence
Impact Advisors Awarded Best in KLAS
The Best in KLAS Data & Analytics Services designation recognizes firms that help healthcare organizations design, develop, and enhance their analytics strategy or program. These engagements are intended to create stronger organizational alignment around analytics, provide clarity on priorities, and establish a practical roadmap for implementing analytics capabilities that support informed decision-making.
Compass AI: Translate AI Potential into Real, Measurable Value
Impact Advisors’ Compass AI program provides a structured path to identify, implement, and scale Epic AI features that create measurable returns. Our proven, repeatable methodology focuses on four key stages:
- Assess: Evaluate current Epic AI adoption, readiness, and define which Clinical Operations or RCM use cases to tackle first
- Analyze: Quantify potential value and create a realistic implementation roadmap.
- Deploy for Adoption: Operationalize AI-supported workflows through training, standard work, and sustained use
- Measure: Use our Value Framework to track utilization, financial performance, and actual dollars realized.
Challenges
A common challenge among healthcare organizations is the lack of a clear enterprise-wide data and AI strategy that is aligned to organizational goals or an actionable roadmap. Without a clear vision of what you want to achieve, data and AI often become an assortment of expensive, disjointed point solutions with little chance of providing meaningful insights or value.
Common challenges cited by healthcare organizations include:
- Inconsistent AI adoption and unclear ROI with AI solutions
- Limited transparency of what’s live, effective, or delivering value
- Fragmented ownership across EHR applications and other systems
- Governance that treats all features the same, regardless of impact
Value Delivered
How We Deliver Value
Impact Advisors helps you envision the big picture of data, enterprise analytics, and AI, develop a plan that considers where you are today and what can reasonably be achieved over the near and long-term, and then supports your team with tools, resources, and expertise at every step of your journey.
Our data and AI professionals average 20 years of experience in roles ranging from executive-level strategic analytics to program leadership to technical engineering and development of data products across a variety of industries. Their expertise ranges from highly relevant technical skills (e.g., Epic Analytics Suite, Healthy Planet, Tableau, Power BI, Oracle, SQL, Azure, IBM, Hadoop, etc.) and strategic skills, such as SDOH, Data Governance, and Program Management.
Planning & Implementation
- Data Strategy: Assessing current data and analytics capabilities and defining how you use data and AI to support business goals, including clear priorities for what should happen now, next, and later.
- Data Application Rationalization: Reviewing data tools and platforms to keep what works, retire what is redundant, and reduce overlap, cost, and complexity.
- Data & AI Governance: Establishing clear roles, processes, and decision rights, so that data is well managed and trustworthy, and AI is used responsibly and compliantly.
- Data Architecture Design: Designing how data flows and is structured across systems, so it is easy to access, integrate, and use across your organization.
Staff Augmentation
Data Architecture & Engineering: Building the data architecture and pipelines needed to organize information from across systems into the right places to support reporting, analytics, and AI initiatives.
- Business Intelligence (BI) Development: Creating reports and dashboards that turn data into clear, actionable insights for leaders and frontline teams.
- Change Management & Project Management: Leading delivery and adoption, so new data tools are used consistently and embedded into daily work.
- Epic AI Operations: Ensuring Epic AI models work correctly in your environment – optimizing workflows while continuously measuring impact and ROI across all deployed Epic AI models.
Our Leaders
Liam Bouchier
Data, Analytics & AI Practice Leader
Liam’s 15-year career has been largely focused on enterprise-scale data systems transformation in both the private and public sectors, with well over a decade focused on healthcare data systems across care transformation, population health, research, “big data” technologies, and EMR data ecosystems. More recently, he has been helping clients navigate emerging AI technologies and their real-world application in healthcare to improve patient outcomes, improve quality, and lower cost.
AI/Artificial Intelligence
AI/Artificial Intelligence
AI/Artificial Intelligence, IT Optimization & Modernization
Ready to join the team?
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If you are passionate about improving healthcare, we’d like to know you. Check out our current list of openings or talk to one of our recruiters.
