By combining readily available parameters, we developed and internally validated a prediction model for safe, early discharge among patients.

Further research, preferably in a multi-center setting, is warranted to externally validate the model and determine whether the use of this discharge prediction tool can indeed reduce the number of unnecessary hospitalizations.

We conducted a prospective cohort study on adult non-trauma patients with a suspected infection and at least two SIRS criteria.

We defined SED as hospital discharge within 24 h (e.g. direct ED discharge or rapid ward discharge) without disease-related readmission to our hospital or death during the first seven days.

A prediction model for SED was developed using multivariate logistic regression analysis and tested with k-fold cross-validation.

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