title: Examining the value of electronic health records on labor and delivery.
abstract: OBJECTIVE
  The objective of the study was to evaluate the impact of an electronic health record (EHR) on documentation completeness and patient care in a labor and delivery unit.
  
  
  METHODS
  We conducted a pre- and postintervention study to compare documentation quality and workflow before and after EHR implementation. Documentation was compared using chi(2) and Fisher's exact tests. Objective observers measured workflow activities across all shifts before and after EHR implementation and activities were compared using Kruskal-Wallis tests and analysis of covariance.
  
  
  RESULTS
  Paper admission records were significantly more likely to miss key clinical information such as chief complaints (contractions, membrane status, bleeding, fetal movement, 10-64% vs 2-5%; P < .0001) and prenatal laboratory results and history (Varicella, group B Streptococcus, human immunodeficiency virus, 26-66% vs 1-16%, P < .0001). Both direct patient care and computer activities increased after EHR implementation (2 vs 12 and 12 vs 17 activities/shift, respectively, P < .0001).
  
  
  CONCLUSIONS
  The introduction of an obstetric EHR improved documentation completeness without reducing direct patient care.
authors.affiliation: Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
authors.forename: Karen B
authors.initials: KB
authors.lastname: Eden
authors.forename: Rosalia
authors.initials: R
authors.lastname: Messina
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.forename: Patricia
authors.initials: P
authors.lastname: Osterweil
authors.forename: Carrie R
authors.initials: CR
authors.lastname: Henderson
authors.forename: Jeanne-Marie
authors.initials: JM
authors.lastname: Guise
mesh_terms: D000328:Adult; D004282:Documentation / Q000379:methods / Q000592:standards; D005260:Female; D006785:Hospitals, University / Q000458:organization & administration; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000592:standards / Q000639:trends; D009775:Obstetrics and Gynecology Department, Hospital / Q000458:organization & administration / Q000592:standards / Q000706:statistics & numerical data*; D009922:Oregon; D010343:Patient Admission / Q000706:statistics & numerical data; D011247:Pregnancy; D011785:Quality Assurance, Health Care