Use of electronic medical record data for quality improvement in schizophrenia treatment.

An understanding of the strengths and limitations of automated data is valuable when using administrative or clinical databases to monitor and improve the quality of health care. This study discusses the feasibility and validity of using data electronically extracted from the Veterans Health Adminis...

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Publicado en:Journal of the American Medical Informatics Association Vol. 11; no. 5; pp. 351 - 358
Autores principales: Owen RR, Thrush CR, Cannon D, Sloan KL, Curran G, Hudson T, Austen M, Ritchie M
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA Sep/Oct2004
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep/Oct2004
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      pub: Oxford University Press / USA
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        atl: Use of electronic medical record data for quality improvement in schizophrenia treatment.
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          Owen RR
          Thrush CR
          Cannon D
          Sloan KL
          Curran G
          Hudson T
          Austen M
          Ritchie M
        affil: Center for Mental Healthcare and Outcomes Research, VA Medical Center (152/NRL), 2200 Ft Roots Dr, North Little Rock, AR 72114; owenrichard4@uams.edu
      sug:
        subj:
          Electronic Health Records
          Schizophrenia Drug Therapy
          Quality Improvement
          Antipsychotic Agents Therapeutic Use
          Mental Health Services Standards
          Practice Guidelines
          Hospitals, Veterans
          Benchmarking
          Retrospective Design
          Health Services Research
          kappa Statistic
          Middle Age
          Female
          Male
          Funding Source
          Human
          Middle Aged: 45-64 years
          Female
          Male
      ab: An understanding of the strengths and limitations of automated data is valuable when using administrative or clinical databases to monitor and improve the quality of health care. This study discusses the feasibility and validity of using data electronically extracted from the Veterans Health Administration (VHA) computer database (VistA) to monitor guideline performance for inpatient and outpatient treatment of schizophrenia. The authors also discuss preliminary results and their experience in applying these methods to monitor antipsychotic prescribing using the South Central VA Healthcare Network (SCVAHCN) Data Warehouse as a tool for quality improvement.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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