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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
7
|
pubmed:dateCreated |
1981-10-25
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pubmed:abstractText |
Patients' characteristics and no-show patterns are analyzed in order to determine the number of patients to schedule in outpatient clinics. This predictive model is evaluated on a second sample of data and compared with another scheduling technique that is based on the average no-show rate for each clinic. Our survey suggests that it is possible to predict accurately the number of no-shows with a small set of variables, and that patient scheduling can be improved by paying attention to the characteristics of individual patients. The most important single predictor is the patient's previous appointment-keeping pattern.
|
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
0025-7079
|
pubmed:author | |
pubmed:issnType |
Print
|
pubmed:volume |
19
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
734-40
|
pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:7266121-Appointments and Schedules,
pubmed-meshheading:7266121-Connecticut,
pubmed-meshheading:7266121-Decision Making,
pubmed-meshheading:7266121-Hospitals, Veterans,
pubmed-meshheading:7266121-Humans,
pubmed-meshheading:7266121-Models, Theoretical,
pubmed-meshheading:7266121-Outpatient Clinics, Hospital
|
pubmed:year |
1981
|
pubmed:articleTitle |
The usefulness of patients' individual characteristics in predicting no-shows in outpatient clinics.
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pubmed:publicationType |
Journal Article,
Comparative Study
|