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Artificial intelligence is helping to analyze and improve health care systems—from waiting times to treatment outcomes and costs. However, some of the most important aspects of care remain harder to measure—such as whether people feel heard, understood and genuinely cared for.
AWARE_AI, an innovative AI program designed at Flinders University, uses machine learning to investigate how human experiences of health care are connected to well-being.
The program offers a new way to explore whether conditions in which care is delivered, the relationships between patients and health care professionals, and the way care is brought together are associated with people's well-being.
Lead researcher Dr. Maria Alejandra Piñero de Plaza, from the Caring Futures Institute at Flinders University, says the goal is to make the "human dimensions of health care more visible, measurable and better understood."
"Health care is fundamentally human, but many of the things we routinely measure tell us more about how services perform than how people experience being cared for," says Piñero de Plaza, from the College of Health and Enablement.
"Waiting times, clinical results and costs are important, but they cannot tell us the whole story. We also need to understand whether people feel listened to, whether their needs are recognized and how these experiences relate to their well-being."
The latest research, published in the Journal of Advanced Nursing and conducted with experts in Australia, Denmark, Spain and Colombia, builds on long-running investigations into the Fundamentals of Care , an established framework explaining how good health care depends on three connected elements: a supportive care environment, trusting relationships between patients and clinicians, and care that brings together people's physical, emotional and social needs.
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