Preparing your health system for success and safety in the age of artificial intelligence

Artificial intelligence (AI) and machine learning are opening exciting new horizons in health care. Health systems that take advantage of these technologies can improve the availability of clinical resources for patient care, optimize efficiency across their organizations, and even combat safety and security risks. Yet any new technology comes with significant risks in such a crucial industry where functioning tools are a matter of life and death. Our white paper looks at some of the most promising opportunities for enhancements to clinical operations with AI as well as how health systems can apply strong governance to avoid the pitfalls that can plague early adopters of evolving high-tech tools.

Learning points:

One of the most promising potential applications is streamlining important, but time-consuming, administrative responsibilities of health care workers. Health systems can benefit their staff and patients by focusing on AI adoption that enables clinicians and technicians to focus more time and energy on activities with the greatest impact on direct patient care.
One of the top priorities evaluating the role AI in health care is scalability. With technology tools that effectively handle large volumes of data, health systems can increase efficiency for rapidly expanding areas of responsibility, such as tracking and managing large medical device inventories.
The rapidly evolving capabilities of AI and growing number of software products emphasize the need for strong process governance, especially in fields such as clinical engineering which already engage with complex, critical technologies.

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