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Implement AI that delivers real value, not just buzzwords

Discover how to strategically implement AI in healthcare that genuinely improves patient care and clinical workflows while maintaining regulatory compliance. Our AI Implementation Playbook guides leaders through the complex decision-making process with clarity and confidence.

The Strategic Path to Healthcare AI: How to Build AI Solutions That Enhance Patient Care and Provider Experience

87% of healthcare enterprises have launched AI initiatives, yet only 23% of HealthTech products successfully integrate AI that delivers measurable value. Our AI Implementation Playbook bridges this gap with a practical framework for identifying where AI truly enhances healthcare delivery and avoiding costly implementation mistakes.

Stop Pursuing AI for AI's Sake

Healthcare executives and product leaders face mounting pressure to "add AI" to their solutions, often without clear strategic direction. This comprehensive playbook helps you cut through the hype to identify specific AI applications that solve real healthcare problems, meet regulatory requirements, and deliver measurable ROI.

What's Inside the Playbook

01

Strategic Assessment Framework

Evaluate if AI is truly necessary for your specific use case with our "Three Rs" methodology—Repetition, Recognition, and Reasoning. Includes our AI Decision Matrix for matching healthcare problems to appropriate solutions.

02

Healthcare-Specific AI Applications

Comprehensive overview of proven AI implementations in healthcare settings, from conversational agents and documentation automation to remote monitoring and clinical decision support—with realistic resource requirements.

03

Build vs. Buy Decision Framework

Make informed choices about whether to develop custom AI capabilities, leverage commercial APIs, or pursue hybrid approaches based on your timeline, budget, data availability, and regulatory requirements.

04

Responsible AI Implementation Guide

Implement healthcare AI that builds trust through transparency, avoids bias, provides appropriate explanations, and maintains meaningful human oversight—essential for both compliance and adoption.

05

Implementation Roadmap & Resource Planning

Transform strategy into execution with our phased implementation approach, from assessment and planning through development, validation, deployment, and continuous improvement.

Why This Playbook Matters

This isn't about theoretical AI potential—it's a practical guide based on real-world healthcare AI implementations. We focus on approaches that maintain compliance, enhance existing workflows, and deliver measurable improvements to patient care and operational efficiency.

01

Make confident AI investment decisions based on a structured evaluation of value, feasibility, and compliance requirements

02

Reduce implementation costs by up to 40% through strategic build vs. buy decisions and phased implementation approaches

03

Balance innovation with patient safety by implementing responsible AI practices that build trust with patients and providers

04

Navigate regulatory requirements confidently with approaches that address HIPAA, FDA regulations, and emerging AI governance frameworks

Who Needs This Playbook

This playbook is essential for:

Healthcare Product Leaders

Identify the most valuable AI applications for your specific healthcare context, prioritize implementation efforts, and build a strategic roadmap for AI adoption.

Technical Decision Makers

Make informed technology choices about AI architecture, data requirements, integration approaches, and security considerations for healthcare environments.

C-Suite Executives

Understand the strategic implications of AI implementation, including resource requirements, compliance considerations, and realistic expectations for returns on investment.

Meet the Authors

Piotr Ratkowski

Head of Growth | Momentum

Filip Begiello

Machine Learning Lead | Momentum

Jakub Czaplicki

Infrastructure & Security Lead | Momentum

Expert Quote

"The most successful healthcare AI implementations aren't determined by model complexity or cutting-edge technology—they're defined by how effectively they integrate into clinical workflows and deliver meaningful improvements to patient care. This playbook guides you through a lean AI adoption approach that balances innovation with the unique requirements of healthcare delivery."
Filip Begiello | Machine Learning Lead | Momentum

Additional Resources