Predictive Modeling of 30-Day Emergency Hospital Transport of German Patients Using a Personal Emergency Response: Retrospective Study and Comparison with the United States
BackgroundPredictive analytics based on data from remote monitoring of elderly via a personal emergency response system (PERS) in the United States can identify subscribers at high risk for emergency hospital transport. These risk predictions can subsequently be used to proac...
Main Authors: | op den Buijs, Jorn, Pijl, Marten, Landgraf, Andreas |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2021-03-01
|
Series: | JMIR Medical Informatics |
Online Access: | https://medinform.jmir.org/2021/3/e25121 |
Similar Items
-
Evaluating the Impact of a Risk Assessment System With Tailored Interventions in Germany: Protocol for a Prospective Study With Matched Controls
by: Pijl, Marten, et al.
Published: (2020-10-01) -
An emerging future infinitive in present day
German?
by: Reiner Tabea Elina
Published: (2015-08-01) -
Examining 30-day COPD readmissions through the emergency department
by: Rezaee ME, et al.
Published: (2017-12-01) -
Healthcare utilization in older patients using personal emergency response systems: an analysis of electronic health records and medical alert data
by: Stephen Agboola, et al.
Published: (2017-04-01) -
The Emergence Unit of a One-Day Hospital
by: R. V. Bolshedvorov, et al.
Published: (2009-08-01)