Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored in your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will only be stored in your browser with your consent. You also have the option to deactivate these cookies. However, disabling some of these cookies may affect your browsing experience.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Propensity to hospitalise patients from the ED in European centers

ProntoSoccorso_BG (33)_Resize

There is significant heterogeneity in the decision to hospitalise patients from the emergency department (ED). In this study, the consortium aims to evaluate the propensity of the participating EDs to hospitalise their patients, comparing the hospitalisation rate after adjusting for the differences among the case-mixes of the centres. An accurate and adjusted measure of the hospitalisation rate will be used to investigate the association between the ED’s attitude towards the disposition decision and a short-term clinical outcome (i.e., 30-day survival).

Primary objectives:

1

To evaluate the feasibility of an automated extraction from the ED EHRs of the characteristics deemed essential for the benchmarking model predicting the ED disposition decision.

2

For patients presenting following loss of consciousness or with dyspnea at ED arrival, to evaluate whether the extracted information from the free text sections of the EHRs adds relevant predictive information to the characteristics that can be obtained from structured (not free text) sources.

3

To provide the participating EDs with an adjusted comparison of the hospitalisation rate for the patients with selected symptoms.

Secondary objective:

1

To assess the association of the constructed indicator with 30-day survival.

See the protocol for more information: