AWS Generative AI Strategy Workshop For Healthcare Companies

Define a clear roadmap for adopting Generative AI with Reveal HealthTech’s AWS Generative AI Strategy Workshop. Tailored specifically for healthcare organizations, this one-day workshop is designed to help you identify and prioritize AI use cases, develop a robust business case with quantified ROI, assess risks, and create a concrete action plan for implementation.

Whether your goal is to streamline operations, enhance patient care, or unlock new efficiencies, this workshop provides expert guidance on how to strategically implement AWS Generative AI in your healthcare organization .

This service is ideal for healthcare providers, payers, and life sciences companies looking to explore the transformative potential of AI but need a structured plan to ensure successful adoption and integration.

Workshop Plan and Execution

The workshop is divided into four key phases, each essential for building a comprehensive Generative AI strategy:

Use-case Prioritization (90 minutes)

• We help your team identify and evaluate potential Generative AI use cases, using a prioritization framework to assess the impact and complexity of each one.
• Our experts provide best-practice reference architectures for Generative AI, giving you a high-level view of how to tackle complex AI challenges.

Output: A use-case prioritization matrix and a 10,000-foot view of use-case impact.

Business Case (60 minutes)

• We collaborate to create a detailed technical design and cost estimate for top-priority use cases, leveraging reference architectures to ensure best practices.
• The business case is built around quantified value, highlighting the potential upside and return on investment (ROI) from adopting Generative AI.

Output: A first draft of the business case, including technical, financial, and implementation models.

Risk Assessment (60 minutes)

• We evaluate the risks and assumptions associated with the adoption of AI and develop a risk register to document potential roadblocks and mitigation strategies.
• This phase includes a heatmap of risk priorities to focus on the most critical challenges.

Output: A risk register with documented risks and mitigation strategies, along with a prioritized heatmap of risks.

Action Plan (90 minutes)

• The final phase is focused on action planning, where we collaborate on next steps to validate the business case and mitigate risks.
• We provide AWS engagement guidance to ensure your team can confidently move forward with high-impact AI initiatives.

Output: A detailed action plan for Generative AI adoption and validation, including next steps and AWS expert recommendations.