Promoting Responsible Artificial Intelligence in Healthcare

In health care, AI presents opportunities to improve patient outcomes and reduce health disparities. It can support care teams and enable more personalized health care experiences.

But health care leaders must understand and address risks to ensure AI is used safely and equitably. These risks include flawed algorithms, unsatisfying patient experiences, and privacy concerns.

AI tools alone don’t save lives or improve the health of our members, they enable our physicians and care teams to provide high-quality, equitable care.

For example, AI helps prevent emergencies in the hospital before they happen. AI can automatically analyzes hospital patients’ electronic health data. If the it identifies a patient at risk of serious decline, it sends an alert to a specialized virtual quality nursing team. The nursing team reviews the data to determine what level of on-site intervention is needed.

AI tools must drive our core mission of delivering high-quality and affordable care for our members. This means that AI technologies must demonstrate a “return on health,” such as improved patient outcomes and experiences.

AI tools support the delivery of equitable, evidence-based care for our members and communities. We do this by testing and validating the accuracy of AI tools across our diverse populations. We are also working to develop and deploy AI tools that can help us identify and proactively address the health and social needs of our members. This can lead to more equitable health outcomes.

AI has enormous potential to help make health care system more robust, accessible, efficient, and equitable.