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The right AI technology makes all the difference. Choose wisely.

Your choice of AI technology will determine your product's performance, compliance, and cost structure for years to come. The AI Technology Selection Matrix eliminates guesswork from these critical decisions.

Tech Decisions That Make or Break Healthcare AI: A Decision Framework for Leaders Who Can't Afford Mistakes

When implementing AI in healthcare, technology selection mistakes lead to stalled projects, wasted budgets, and compliance issues. Our AI Technology Selection Matrix, developed from dozens of successful implementations, gives you a reliable framework for making technology decisions that align with your specific use case, timeline, and budget.

Stop Guessing Which AI Approach Is Right for Your Healthcare Product

You've decided to implement AI—now comes the hard part. Which technologies should you use? Build custom or use commercial APIs? How will your choice impact performance, cost, and compliance? The AI Technology Selection Matrix gives you clear, actionable guidance based on your specific healthcare application.

What's Inside the Matrix

01

Quick Decision Framework

Six essential questions that immediately clarify whether your AI project is positioned for success, with green/yellow/red indicators to identify potential pitfalls before they derail your implementation.

02

Technology Approach Selection Guide

Clear comparison of pre-built services, customized APIs, fine-tuned models, and custom development—with guidance on exactly when each approach makes sense for healthcare applications.

03

Technology Suitability by Application

Detailed ratings for specific healthcare AI applications like documentation, chatbots, medical imaging, and clinical decision support, helping you match the right technology to your specific use case.

04

Implementation Roadmap Template

Practical timeline and key activities for each implementation phase, from definition and validation through development, testing, deployment, and monitoring.

05

Real-World Case Example

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

Why This Playbook Matters

Unlike generic AI technology guides, this matrix is specifically calibrated for healthcare applications. It incorporates healthcare regulatory considerations, clinical workflow integration requirements, and patient data security needs that standard technology frameworks often miss.

01

Avoid costly technology pivots by selecting the right approach from the beginning

02

Make defensible technology decisions backed by experience from dozens of successful healthcare AI implementations

03

Balance speed-to-market with differentiation by understanding when to buy vs. build

04

Optimize your budget with clear guidance on which approaches deliver the most value for specific applications

Who Needs This Matrix

This decision framework is essential for:

CTOs & Technical Leaders

Get a healthcare-specific framework for evaluating AI technologies that accounts for both technical performance and healthcare compliance requirements.

Product Managers

Understand the implications of different technology approaches on timeline, budget, and feature capabilities—without needing deep technical expertise.

HealthTech Founders

Make informed technology decisions that optimize your resources and position your product for both near-term success and long-term competitive advantage.

Meet the Authors

Filip Begiello

Machine Learning Lead | Momentum

Piotr Sobusiak

CTO | Momentum

Expert Quote

"In my experience leading dozens of healthcare AI implementations, technology selection is the most critical decision point—and the one most often made without sufficient information. The wrong approach can double your costs, delay your timeline by months, or create compliance issues that threaten your entire product. This matrix gives you the structured guidance you need to make these decisions with confidence."
Filip Begiello | Machine Learning Lead | Momentum

Additional Resources