Reminding and monitoring: new uses of administrative data for preventive care.
Identifieur interne : 000B60 ( Main/Corpus ); précédent : 000B59; suivant : 000B61Reminding and monitoring: new uses of administrative data for preventive care.
Auteurs : L L Roos ; D S Fedson ; J D Roberts ; M M CohenSource :
- Healthcare management forum [ 0840-4704 ] ; 1996.
English descriptors
- KwdEn :
- Aged, Canada, Child, Costs and Cost Analysis, Databases, Factual (statistics & numerical data), Female, Humans, Immunization Programs, Influenza, Human (prevention & control), Physician's Role, Preventive Health Services (organization & administration), Preventive Health Services (statistics & numerical data), Public Health Administration (statistics & numerical data), Registries, Single-Payer System, Universal Health Insurance, Uterine Cervical Neoplasms (prevention & control), Vital Statistics.
- MESH :
- organization & administration : Preventive Health Services.
- prevention & control : Influenza, Human, Uterine Cervical Neoplasms.
- statistics & numerical data : Databases, Factual, Preventive Health Services, Public Health Administration.
- Aged, Canada, Child, Costs and Cost Analysis, Female, Humans, Immunization Programs, Physician's Role, Registries, Single-Payer System, Universal Health Insurance, Vital Statistics.
Abstract
This article illustrates how administrative data can be used to improve population health in an environment of fiscal constraint. In our universal single-payer health system, health care providers submit standardized data. This allows provinces to create health information utilities that generate population-based data that can be used for research and health care delivery. Although more study is needed to determine the cost-effectiveness of using such data to raise the rates of primary and secondary prevention, it appears that appropriately designed information systems could improve population health with relatively little additional cost.
DOI: 10.1016/S0840-4704(10)60759-4
PubMed: 10164211
Links to Exploration step
pubmed:10164211Le document en format XML
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In our universal single-payer health system, health care providers submit standardized data. This allows provinces to create health information utilities that generate population-based data that can be used for research and health care delivery. Although more study is needed to determine the cost-effectiveness of using such data to raise the rates of primary and secondary prevention, it appears that appropriately designed information systems could improve population health with relatively little additional cost.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">10164211</PMID><DateCompleted><Year>1997</Year><Month>02</Month><Day>20</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>30</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0840-4704</ISSN><JournalIssue CitedMedium="Print"><Volume>9</Volume><Issue>4</Issue><PubDate><Year>1996</Year><Season>Winter</Season></PubDate></JournalIssue><Title>Healthcare management forum</Title><ISOAbbreviation>Healthc Manage Forum</ISOAbbreviation></Journal><ArticleTitle>Reminding and monitoring: new uses of administrative data for preventive care.</ArticleTitle><Pagination><MedlinePgn>30-6</MedlinePgn></Pagination><Abstract><AbstractText>This article illustrates how administrative data can be used to improve population health in an environment of fiscal constraint. In our universal single-payer health system, health care providers submit standardized data. This allows provinces to create health information utilities that generate population-based data that can be used for research and health care delivery. Although more study is needed to determine the cost-effectiveness of using such data to raise the rates of primary and secondary prevention, it appears that appropriately designed information systems could improve population health with relatively little additional cost.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Roos</LastName><ForeName>L L</ForeName><Initials>LL</Initials><AffiliationInfo><Affiliation>University of Manitoba.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fedson</LastName><ForeName>D S</ForeName><Initials>DS</Initials></Author><Author ValidYN="Y"><LastName>Roberts</LastName><ForeName>J D</ForeName><Initials>JD</Initials></Author><Author ValidYN="Y"><LastName>Cohen</LastName><ForeName>M M</ForeName><Initials>MM</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Healthc Manage Forum</MedlineTA><NlmUniqueID>8805307</NlmUniqueID><ISSNLinking>0840-4704</ISSNLinking></MedlineJournalInfo><CitationSubset>H</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002170" MajorTopicYN="N">Canada</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003365" MajorTopicYN="N">Costs and Cost Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017589" MajorTopicYN="N">Immunization Programs</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010819" MajorTopicYN="N">Physician's Role</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011314" MajorTopicYN="N">Preventive Health Services</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011635" MajorTopicYN="N">Public Health Administration</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012042" MajorTopicYN="N">Registries</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018855" MajorTopicYN="N">Single-Payer System</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019472" MajorTopicYN="N">Universal Health Insurance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002583" MajorTopicYN="N">Uterine Cervical Neoplasms</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014798" MajorTopicYN="N">Vital Statistics</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1996</Year><Month>12</Month><Day>3</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1996</Year><Month>12</Month><Day>3</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1996</Year><Month>12</Month><Day>3</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">10164211</ArticleId><ArticleId IdType="doi">10.1016/S0840-4704(10)60759-4</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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