Industry Coverage icon

Generative AI Use Case Library for the Healthcare Industry

Identify value-driven generative AI use cases to transform your organization.

Unlock a Free Sample
  • AI in healthcare adoption has been slow despite rapid growth in investment and AI product development.
  • Healthcare organizations are challenged with inefficient business operations and are uncertain on how to effectively address them.
  • Adopting new technology requires a strategic approach and alignment between IT and healthcare administrators.

Our Advice

Critical Insight

The healthcare industry should approach a Gen AI adoption strategically and methodically within a larger digital strategy, with a clear understanding of the specific use cases and benefits.

Impact and Result

Info-Tech’s use-case library provides practical guidance to help the healthcare industry accelerate value-driven Gen AI use case adoption.


Generative AI Use Case Library for the Healthcare Industry Research & Tools

1. Gen AI Use Case Library for Healthcare – Identify value-driven generative AI use cases to transform your organization.

Leverage a robust set of Gen AI use cases to identify potential initiatives that can accelerate value creation. Use cases cover a range of technologies and capabilities and include insight into sources of value.

Unlock a Free Sample

Generative AI Use Case Library for the Healthcare Industry

Identify value-driven generative AI use cases to transform your organization.

Analyst Perspective

Implement value-driven AI use cases responsibly.

Healthcare is becoming familiar with artificial intelligence (AI) and has been piloting several use cases in clinical decision making, medical imaging, and others with various AI modalities. AI can serve many purposes, including diagnosis and treatment, drug development, remote patient monitoring, and predictive analytics. Healthcare providers can analyze medical data with AI to make more accurate diagnoses, develop more effective treatment plans, and monitor patients more effectively.

However, the adoption of AI in healthcare poses some challenges. One main challenge is ensuring that the data used to train AI algorithms is accurate and representative of the population being served. Another challenge is ensuring that AI is used ethically and responsibly, with appropriate safeguards in place to protect patient privacy and prevent bias. Health organizations should approach AI adoption strategically, with a clear understanding of the specific use cases and benefits, and a plan for addressing the challenges associated with implementation and ongoing use.

As healthcare organizations consider implementing AI, we recommend a rapid approach following a six-step framework to help our members adopt value-driven AI use cases which consider risks and limitations.

Sharon Auma-Ebanyat, Research Director, Healthcare

Sharon Auma-Ebanyat
Research Director, Healthcare
Industry Practice
Info-Tech Research Group

Executive Summary

Your Challenge Common Obstacles Info-Tech's Approach
  • The healthcare sector has been slow to adopt AI despite rapid growth in investment and AI product development.
  • Healthcare organizations are challenged with inefficient business operations and are uncertain how to effectively address them.
  • Adopting new technology requires a strategic approach and alignment between IT and healthcare administrators.
  • Healthcare leaders have a limited understanding of the benefits of AI, organizational impacts, and how to begin.
  • Healthcare organizations are concerned about the risks of AI and compliance with privacy laws, regulations, and policies.
  • Health IT leaders must continuously identify and prioritize feasible AI technology trends to foster innovative ways of addressing current operational challenges.
  • Introduce an approach to build your Generative AI (Gen AI) Roadmap rapidly and responsibly via a six-step practical framework to accelerate the adoption.
  • Guide healthcare leaders through identifying and prioritizing AI use cases for their business capabilities through a benefits realization model to start their AI journey.
  • Leverage the output to gain executive buy-in to rapidly and responsibly implement AI. The approach will help you determine the most suitable use cases that can provide the greatest value to address your organizational challenges and meet business goals.

Info-Tech Insight
Healthcare organizations should approach AI adoption strategically and responsibly, with a clear understanding of the specific use cases and benefits, and a plan for addressing the challenges associated with implementation and ongoing use. Healthcare organizations that invest in AI technology will foster innovation to improve operational efficiency and patient outcomes.

Gen AI is an innovation in machine learning

Generative AI (Gen AI)
A form of machine learning where, in response to prompts, a Gen AI platform can generate new outputs based on its training data. Depending on its foundational model, a Gen AI platform will provide different modalities and use case applications.

Audio - Converts text to sound.

Visual - Enables text to image, video, or web design conversions.

Code - Creates code in various programming languages based on human language prompts.

Text - Creates text-based outputs such as articles, blog posts, emails, and information summaries.

Machine learning (ML)
An approach to implementing AI where the AI system is instructed to search for patterns in a data set and then make predictions based on those patterns. In this way, the system "learns" to provide accurate content over time (e.g. Google's search recommendations).

Artificial intelligence (AI)
A field of computer science that focuses on building systems to imitate human behavior. Not all AI systems have learning behavior - many systems operate on preset rules, such as customer service chatbots.

Info-Tech Insight
Many vendors have jumped on Gen AI as the latest marketing buzzword. When vendors claim to offer Gen AI functionality, pin down what exactly is generative about it. The solution must be able to induce new outputs from inputted data via self-supervision - not just trained to produce certain outputs based on certain inputs.

Healthcare may not feel prepared, but other industries are already using AI

Chart showing service professionals using AI in 2022

"The next 5-10 years will see significant adoption of AI technologies in the nonprofit sector. The low hanging fruit will be around making routine tasks more efficient to allow people to work smarter, not harder."
- Nathan Chappell, Futurus Group

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.

What Is a Blueprint?

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.

Talk to an Analyst

Our analyst calls are focused on helping our members use the research we produce, and our experts will guide you to successful project completion.

Book an Analyst Call on This Topic

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

Get Advice From a Subject Matter Expert

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.

Unlock Sample Research

Author

Sharon Auma-Ebanyat

Contributors

  • Amy Feaster, CDO & VP of IT Children’s Hospital Colorado
  • Bill Wong, Principal Research Director, Info-Tech
  • Irina Sedenko, Research Director, Info-Tech
  • Neal Rosenblatt, Principal Research Director, Info-Tech

Search Code: 102952
Last Revised: October 17, 2023

Visit our Exponential IT Research Center
Over 100 analysts waiting to take your call right now: 1-519-432-3550 x2019