Identifying potential predictable indicators for the management of tertiary hospitals

Identifying potential predictable indicators for the management of tertiary hospitals

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...

Full description

Saved in:
Bibliographic Details
Published in:The International journal of health planning and management Vol. 39; no. 2; pp. 278 - 292
Main Authors: Cossio‐Gil, Yolima, Pérez‐Sádaba, Francisco Javier, Ribera, Jaume, Giménez, Emmanuel, Marte, Luís, Ramos, Rosa, Aurin, Eva, Peterlunger, Michael, Steinbrink, Jens, Bottinelli, Elena Angela Maria, Nelson, Nina, Seveke, Lynn, Garin, Noe, Velasco, Cesar
Format: Journal Article
Language:English
Published: England Wiley Subscription Services, Inc 01-03-2024
Subjects:
Clinical decision making
Clinical outcomes
data analytics
Decision making
Emergency medical care
Emergency medical services
Emergency Service, Hospital
Emergency services
Feasibility
Feasibility studies
Health facilities
Health status
hospital care
Hospitalization
Hospitals
Hospitals, University
Humans
Impact prediction
Indicators
information technology
Infrastructure
Inpatients
key performance indicators (KPI)
Managers
Narratives
Patient care planning
Patients
Performance indicators
Prioritizing
Quality of care
Resource allocation
Surgical techniques
Tertiary Care Centers
data analytics
information technology
decision-making
hospital care
key performance indicators (KPI)
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. Highlights A decision‐making indicator novel set based on predictive usage is presented. These evidence‐based indicators were agreed by tertiary EU hospitals. The selected indicators are based on value and feasibility principles. Care processes indicators are the best for prediction.
Bibliography:Nina Nelson: Retired.
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:0749-6753
1099-1751
DOI:10.1002/hpm.3710