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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
252
|
| pubmed:dateCreated |
1990-3-29
|
| pubmed:abstractText |
Identification of patient subpopulations for retrospective clinical studies, documentation of residents' clinical experience, and other administrative purposes can be difficult and time consuming. The problem of identification is exacerbated when a teaching program involves several hospitals or when the desired subpopulation is not adequately defined by standard diagnosis or procedure codes used by the institution. A useful patient registry system is reported here for the storage and retrieval of data on orthopedic patients treated by surgical residents at a major teaching hospital and its affiliates. The registry uses a simple, yet powerful encoding scheme to describe patient entries. In addition to a multidimensional encoded description based on SNOMED, the system supports the entry of free text to provide greater detail. This combination gives the patient registry both power and versatility.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
AIM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Mar
|
| pubmed:issn |
0009-921X
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
262-9
|
| pubmed:dateRevised |
2005-3-3
|
| pubmed:meshHeading | |
| pubmed:year |
1990
|
| pubmed:articleTitle |
A patient registry for orthopedic surgery.
|
| pubmed:affiliation |
School of Organization and Management, Department of Orthopedics and Rehabilitation, Yale University, New Haven, Connecticut.
|
| pubmed:publicationType |
Journal Article
|