Booked inpatient admissions and hospital capacity: Mathematical model misses the point

Longer lengths of stay can also be predicted by assessing a range of factors such as comorbidity, smoking habit, and general mobility. [...]patients are grouped according to their predicted potential variability. [...]their cancellation rate greatly exceeds that for hospital operations.

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Bibliographische Detailangaben
Veröffentlicht in:	BMJ 2002-06, Vol.324 (7349), p.1336-1336
Hauptverfasser:	Rogers, Hugh, Warner, Jenny, Steyn, Richard, Silvester, Kate, Pepperman, Mike, Nash, Roddy
Format:	Artikel
Sprache:	eng
Schlagworte:	Air travel Comorbidity Emergency medical care Hospital Bed Capacity - statistics & numerical data Hospitals Hospitals, Public - utilization Intensive care Length of Stay - statistics & numerical data Letters Mathematical models Models, Statistical Mortality Operations management Patient Admission - statistics & numerical data State Medicine - organization & administration United Kingdom
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Beschreibung
Zusammenfassung:	Longer lengths of stay can also be predicted by assessing a range of factors such as comorbidity, smoking habit, and general mobility. [...]patients are grouped according to their predicted potential variability. [...]their cancellation rate greatly exceeds that for hospital operations.
ISSN:	0959-8138 0959-8146 1468-5833 1756-1833
DOI:	10.1136/bmj.324.7349.1336