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Identifying potential predictable indicators for the management of tertiary hospitals. | LitMetric

AI Article Synopsis

  • - The European University Hospitals Alliance (EUHA) is shifting from traditional key performance indicators (KPIs) to key decision indicators (KDIs) to help hospital managers anticipate issues before they arise and make better decisions.
  • - This study involved a review and surveys with hospital managers to identify and prioritize 11 potential KDIs that are relevant for complex healthcare settings, focusing on areas like emergency departments and patient care processes.
  • - The findings suggest that KDIs, especially those related to patient flow and care processes, can enhance hospital resource management and improve overall healthcare quality by allowing for more proactive decision-making.

Article Abstract

Background: The European University Hospitals Alliance (EUHA) recognises the need to move from the classical approach of measuring key performance indicators (KPIs) to an anticipative approach based on predictable indicators to take decisions (Key Decision Indicators, KDIs). It might help managers to anticipate poor results before they occur to prevent or correct them early.

Objective: This paper aims to identify potential KDIs and to prioritize those most relevant for high complexity hospitals.

Methods: A narrative review was performed to identify KPIs with the potential to become KDIs. Then, two surveys were conducted with EUHA hospital managers (n = 51) to assess potential KDIs according to their relevance for decision-making (Value) and their availability and effort required to be predicted (Feasibility). Potential KDIs are prioritized for testing as predictable indicators and developing in the short term if they were classified as highly Value and Feasible.

Results: The narrative review identified 45 potential KDIs out of 153 indicators and 11 were prioritized. Of nine EUHA hospitals, 25 members from seven answered, prioritizing KDIs related to the emergency department (ED), hospitalisation and surgical processes (n = 8), infrastructure and resources (n = 2) and health outcomes and quality (n = 1). The highest scores in this group were for those related to ED. The results were homogeneous among the different hospitals.

Conclusions: Potential KDIs related to care processes and hospital patient flow was the most prioritized ones to test as being predictable. KDIs represent a new approach to decision-making, whose potential to be predicted could impact the planning and management of hospital resources and, therefore, healthcare quality.

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Source
http://dx.doi.org/10.1002/hpm.3710DOI Listing

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