Improving Health Outcomes with Artificial Intelligence of Things (AIoT) for US Healthcare Companies

Facing a growing administrative burden and surging patient loads, care providers have no option but to find more efficient ways to deliver accurate, high-quality care to patients. As a result, health care leaders are actively seeking to transition to a value-based care model. This model creates new opportunities to drive down costs while improving patient outcomes, giving care providers strong incentives to better engage with patients and enabling more widespread adoption of evidence-based medicine in diagnosis and treatment.

The good news is that digital health care innovations are happening at an unprecedented pace and scale, giving care providers new tools for making care delivery more efficient, accessible, economical and patient-centric in a value-based care model. Artificial intelligence – machine learning specifically – is already providing compelling examples of this type of technology-aided innovation at work. By collecting and analyzing high-frequency Internet of Things (IoT) sensor data, along with computer vision, health care organizations can enhance human performance on cognitive tasks such as diagnostic or therapeutic decisions, supporting clinicians in treating diseases.


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