Abstract
The manuscript explores value-based healthcare (VBHC) and its role in assessing healthcare quality beyond clinical metrics. It identifies four value types: personal, technical, allocative, and societal. Emphasizing the integration of diverse stakeholder perspectives, including patients, families, and clinicians, the study highlights the importance of patient- and family-reported measures (PROMs and PREMs) and clinician input. Clinicians' insights on treatment feasibility and effectiveness are crucial for a holistic understanding of healthcare quality. The manuscript advocates for combining machine learning with participatory approaches to enhance data analysis and continuous quality improvement in VBHC, driving better outcomes for patients and communities.
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