California Regency University

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AI in Health Care: From Strategies to Implementation
Created by: California Regency University

Implement Strategic AI Solutions to Tackle Modern Health Care Challenges

Today’s health care consumers are more informed and empowered; therefore, meeting their demands requires solutions that are convenient, personalized and precise. Artificial intelligence (AI) and its data processing, data analysis and data-driven decision-making capabilities can enable customized treatment plans, more in-depth care and better health outcomes.

In spite of these benefits, only 25% of health care organizations have implemented AI and machine learning, as revealed by the 32nd Barometer survey. This highlights the distinctive challenges associated with the use of these technologies in the health care ecosystem. To successfully implement an AI-driven health care solution, leaders must navigate a number of complexities, including data quality and bias, algorithmic trust and skills deficits, while maintaining a focus on patient-centric strategies and treatment options.

The online program from California Regency University Executive Education is designed to equip health care leaders with the knowledge and strategies to design, pitch and implement AI-driven solutions.

Key Takeaways

Understand the fundamentals of AI in health care

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