The adoption of AI in health care is being driven by an exponential growth of health data, the broad availability of computational power, and foundational advances in machine learning techniques. AI has already demonstrated the potential to create value by reducing costs, expanding access, and improving quality. But in order for AI to realize its transformative potential at scale, its proponents need business models optimized to best capture that value.
How AI Vendors Can Navigate the Health Care Industry
Six factors to consider.
May 17, 2021
Summary.
AI has the potential to significantly improve the quality and cost of health care. But as companies design new offerings, they must take into account the obstacles they will encounter in persuading customers, regulators, and payers to accept their offerings. This article identifies those obstacles and how specific kinds of business models can overcome them.
New!
HBR Learning
Sharpening Your Business Acumen Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Sharpening Your Business Acumen. Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Take your career to the next level by learning business and finance basics, and developing an enterprise mindset.
Learn More & See All Courses
New!
HBR Learning
Sharpening Your Business Acumen Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Sharpening Your Business Acumen. Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Take your career to the next level by learning business and finance basics, and developing an enterprise mindset.