A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study
Greet Van De Sijpe, Matthias Gijsen, Lorenz Van der Linden, Stephanie Strouven, Eline Simons, Emily Martens, Nele Persan, Veerle Grootaert, Veerle Foulon, Minne Casteels, Sandra Verelst, Peter Vanbrabant, Sabrina De Winter, Isabel Spriet, Andrew Coristine, Amaryllis Mavragani, Kenji Omae, Enze Bai · 2024
Read A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study by Greet Van De Sijpe, Matthias Gijsen, Lorenz Van der Linden, Stephanie Strouven, Eline Simons, Emily Martens, Nele Persan, Veerle Grootaert, Veerle Foulon, Minne Casteels, Sandra Verelst, Peter Vanbrabant, Sabrina De Winter, Isabel Spriet, Andrew Coristine, Amaryllis Mavragani, Kenji Omae, Enze Bai (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11635314.txt.
Description
Greet Van De Sijpe and co-authors build a risk call for drug-list slips that count at the rush ward door. The study appeared in 2024. Most door cases get no full drug-list check, since hands run short. The call aims to flag who needs that check most.
Over eight hundred door cases at two Belgium hubs built the call. Two check sets, by time and by place, held near five hundred more in all. Eight marks made the end call, from age to drug count kinds. The team read its truth, its split skill, and its net gain. The call held in both check sets.
Catalog record
| CREATOR | Greet Van De Sijpe, Matthias Gijsen, Lorenz Van der Linden, Stephanie Strouven, Eline Simons, Emily Martens, Nele Persan, Veerle Grootaert, Veerle Foulon, Minne Casteels, Sandra Verelst, Peter Vanbrabant, Sabrina De Winter, Isabel Spriet, Andrew Coristine, Amaryllis Mavragani, Kenji Omae, Enze Bai |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |