title: Developing a multivariate electronic medical record integration model for primary health care.
abstract: This paper describes the development of a multivariate electronic medical record (EMR) integration model for the primary health care setting. Our working hypothesis is that an integrated EMR is associated with high quality primary health care. Our assumption is that EMR integration should be viewed as a form of complex intervention with multiple interacting components that can impact the quality of care. Depending on how well the EMR is integrated in the practice setting, one can expect a corresponding change in the quality of care as measured through a set of primary health care quality indicators. To test the face validity of this model, a Delphi study is being planned where health care providers and information technology professionals involved with EMR adoption are polled for their feedback. This model has the potential to quantify and explain the factors that influence successful EMR integration to improve primary health care.
authors: School of Health Information Science, University of Victoria, Canada.
authors: Francis
authors: F
authors: Lau
authors: Morgan
authors: M
authors: Price
authors: Mary
authors: M
authors: Lesperance
mesh_terms: D001955:British Columbia; D003198:Computer Simulation; D057286:Electronic Health Records; D005568:Forms and Records Control / Q000379:methods*; D055991:Health Records, Personal; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D015233:Models, Statistical; D015999:Multivariate Analysis; D011320:Primary Health Care / Q000379:methods*; D018511:Systems Integration