In this presentation, I introduce the development and validation of a set of assessment instruments within the Hospice-Focused Palliative Outcome Index (HFPOI), designed to support multidimensional whole-person care across patients, families, and healthcare providers. These tools include the LED–Good Death Index (LED-GDI), Patient Spiritual Well-being Scale (PtSpWBS), Holistic Care Knowledge Assessment Scale (HCKAS), Holistic Care Quality Assessment Scales for Patients and Families (HCQAS-P/F), and the Whole-Person Health Scale for Employees of Hospitals (WPHS-EH).
Developed through mixed-method research and grounded in Taiwan’s CUP Model (Context, User, Provider), these instruments emphasize cultural sensitivity, interprofessional collaboration, and ethical meaning-making in palliative care. Psychometric evaluations demonstrate strong internal consistency, construct validity, and clinical feasibility across Taiwanese cancer care settings.
I further discuss the potential of integrating these validated tools into AI-assisted quality management platforms. Applications may include real-time monitoring dashboards, emotional distress mapping, predictive risk modeling, and personalized intervention planning supporting proactive care without losing sight of human connection and dignity.
These tools provide a shared framework for interdisciplinary communication, quality improvement, and ethically attuned end-of-life conversations, making them valuable for implementation across diverse care settings.
Keyword: Whole-person care, Hospice-Focused Palliative Outcome Index (HFPOI), Psychometric validation, AI-assisted quality management, CUP Model