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How Data Digitization helps Value-based Care Adoption
As the healthcare industry continues its evolution to value-based care, it becomes increasingly essential that payers and providers have comprehensive, accurate patient data to support these new models of care. Adoption of value-based care has accelerated in recent years, and the trend is likely to continue as payers, employers, and government officials become more comfortable with these types of alternative payment models, according to a recent report from McKinsey. Artificial intelligence (AI) and machine learning (ML) are essential to data digitization and reducing errors. AI and ML facilitate better automation of tasks and decision-making processes, and support bidirectional integration between information systems.Successful data digitization is critical for the healthcare industry as it scales up value-based care capabilities. With accurate, holistic, up-to-date patient information at their fingertips, healthcare organizations are far better-equipped to fulfill the mission of these new care models – delivering better patient outcomes at lower costs.
Medigy Insights
In the shift towards value-based care, the healthcare industry recognizes the importance of comprehensive, accurate patient data to support these innovative models. The adoption of value-based care is increasing, driven by the growing comfort of payers, employers, and government officials with alternative payment models. Artificial intelligence (AI) and machine learning (ML) are crucial for data digitization, minimizing errors, automating tasks, and enabling seamless integration between information systems. Successful data digitization empowers healthcare organizations to deliver better patient outcomes at lower costs by providing access to precise, up-to-date patient information essential for value-based care capabilities.
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