Data analytics in in-home care involves collecting, analyzing, and interpreting data to gain insights and make informed decisions about in-home care services. It involves using various techniques and tools to extract valuable information from the vast data generated in home care settings.
Data analytics models assist home care agencies in increasing market share, improving efficiency, and driving strategic decision-making. Comprehensive data analytics tools and clinical data analytics for home care providers cannot be understated. In addition, physicians and other non-medical providers take advantage of the data, helping them select high-quality referral sources for older adults, improving satisfaction.
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