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AI-Powered Precision Medicine to Improve Patient Outcomes

A framework to validate the accuracy, safety, and effectiveness of AI in patient care.

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  • Current traditional medicine practices are uniform for all patients, resulting in high costs and predominantly relying on trial and error for disease diagnosis and treatment plans.
  • Advanced genomic research and technology have expedited the integration of precision medicine into clinical practices, aiming to enhance patient outcomes.
  • AI-enabled precision medicine holds great promise in helping healthcare providers, research institutions, and pharmaceutical companies to administer the appropriate treatment to the right patient at the right time, thereby reducing disease prevalence and the cost of care.

Our Advice

Critical Insight

  • Most healthcare organizations lack optimized data landscapes, resulting in a typical data analysis turnaround time of 26 hours. This time frame is too slow for real-time use in acute care settings.
  • While the accessibility of genetic data for precision medicine is increasing for individuals and clinicians, cost remains a barrier, as it is expensive and often has limited insurance coverage.
  • The implementation cost of AI is a notable concern for healthcare organizations, especially when managing competing priorities.

Impact and Result

Info-Tech’s human-centric, value-based approach serves as a guide for deploying AI applications in precision medicine. This approach encompasses:

  • Understanding the evolutionary state of precision medicine.
  • Identifying the benefits and challenges associated with AI-powered precision medicine.
  • Assessing AI maturity for precision medicine using a maturity assessment tool.

AI-Powered Precision Medicine to Improve Patient Outcomes Research & Tools

1. AI-Powered Precision Medicine to Improve Patient Outcomes Deck – An overview of the benefits of AI-powered precision medicine.

This research report includes case study examples and a framework for assessing your organization's precision medicine AI maturity level. This approach can help you fast-track the process of assessing your AI maturity level to engage your C-suite executives and clinicians and create awareness on how this can impact the future of healthcare service delivery.

2. AI Maturity Assessment Tool for Precision Medicine – A tool to help you estimate and qualify cost savings and revenue generation for AI use case implementation.

Use this tool, based on Info-Tech’s AI Maturity Framework, to evaluate the current and target performance levels for your organization's core AI practices. Use the results as a starting point for building a list of AI initiatives by business value driver to support your maturity growth toward your target-state AI capabilities.

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A framework to validate the accuracy, safety, and effectiveness of AI in patient care.

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

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A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

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You can start as early as tomorrow morning. Our analysts will explain the process during your first call.

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Each call will focus on explaining the material and helping you to plan your project, interpret and analyze the results of each project step, and set the direction for your next project step.

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Sharon Auma-Ebanyat


  • Soma Kancherla, Senior Healthcare Solutions Architect Central & Western USA, VMware
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