Kyte Perspective: The role of data quality in AI-driven Hospital in the Home programs

However, the 'intelligence' of these AI systems is only as good as the 'data' it receives. If the data from AI algorithms embedded in the wearable are inaccurate, inconsistent, or incomplete, the AI's output – whether it's an alert, a trend prediction, or a diagnostic aid – can be flawed, leading to suboptimal or even unsafe clinical decisions and reduces AI trustworthiness and fitness for use in clinical practice.

Join us in this webinar to explore the evidence-based best practices on ensuring data quality in home care services for superior patient outcomes.