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Modelling business processes in palliative care management: ways to optimise resource management. | LitMetric

AI Article Synopsis

Article Abstract

Objective: Aim: To evaluate the impact of corrective coefficients on the income of multidisciplinary mobile palliative care teams (MMPCT) in Ukraine under different scenarios, such as new contracts, patient count, and service cost variability, to identify optimization pathways for resource management in palliative care.

Patients And Methods: Materials and Methods: A comprehensive literature review was conducted, including sources from JAMA Scholar and PubMed. The Monte Carlo method simulated 10 000 scenarios of uncertainty, such as patient count and diagnoses, to assess the effect of corrective coefficients. Income was modeled based on the National Health Service of Ukraine (NHSU) base rate of 69 326,04 UAH, with upward (1; 1,2; 1,5; 2) and downward (0,5; 0,7; 0,9) coefficients. Calculations were done using Python (NumPy, Matplotlib).

Results: Results: Income varied significantly with NHSU corrective coefficients. With increasing coefficients, average annual income reached 1 137 498,89 UAH, while with downward coefficients, it decreased to 887 387,18 UAH. Adding the new contract coefficient (0,9) further reduced income to 799 786,52 UAH.

Conclusion: Conclusions: The NHSU base rates for MMPCT in Ukraine are underestimated, not reflecting actual palliative care costs. Increasing coefficients boost revenue, while downward adjustments and contract discounts reduce profitability. Adjustments in fixed and variable costs, along with payroll taxes, are necessary to meet the financial needs of palliative care services in Ukraine.

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http://dx.doi.org/10.36740/WLek/197110DOI Listing

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