Data analytics in healthcare are essential for value-based reimbursement models that reward quality care and positive outcomes, impacting nurses' care provision. Implementing data analytics assists providers in tracking patient outcomes to enhance care.
Data analytics in healthcare are useful tools for value-based reimbursement models, which use financial incentives to reward quality healthcare and positive patient outcomes. For example, Medicare no longer reimburses hospitals for treating certain preventable conditions.
These reimbursement models directly impact the evidence-based care nurses provide at the bedside and the associated documentation of assessments, interventions, and nursing care plans to ensure quality performance criteria.
Implementing data analytics helps healthcare providers track and analyze patient outcomes, identify trends, and make informed decisions to improve overall patient care.
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