OBJECTIVE: To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we develop a methodology analyzing crossover behavior for application to larger more general patient populations. DESIGN: Using neurosurgery inpatient visit data from EUH and GMH, unique patients who visited both hospitals were identified through classification by name and age at time of visit. The frequency of flow patterns, including time between visits, and the statistical significance of crossover rates for patients with particular diagnoses were determined. MEASUREMENTS: The time between visits, flow patterns, and proportion of patients exhibiting crossover behavior were calculated for the total population studied as well as subpopulations. RESULTS: 5.25% of patients having multiple visits over the study period visited the neurosurgical departments at both hospitals. 77% of crossover patients visited the level 1 trauma center (GMH) before visiting EUH. LIMITATIONS: The true patient crossover may be under-estimated because the study population only consists of neurosurgical inpatients at EUH and GMH. CONCLUSION: We demonstrate that detailed analysis of crossover behavior provides a deeper understanding of the potential value of HIE.
OBJECTIVE: To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we develop a methodology analyzing crossover behavior for application to larger more general patient populations. DESIGN: Using neurosurgery inpatient visit data from EUH and GMH, unique patients who visited both hospitals were identified through classification by name and age at time of visit. The frequency of flow patterns, including time between visits, and the statistical significance of crossover rates for patients with particular diagnoses were determined. MEASUREMENTS: The time between visits, flow patterns, and proportion of patients exhibiting crossover behavior were calculated for the total population studied as well as subpopulations. RESULTS: 5.25% of patients having multiple visits over the study period visited the neurosurgical departments at both hospitals. 77% of crossover patients visited the level 1 trauma center (GMH) before visiting EUH. LIMITATIONS: The true patient crossover may be under-estimated because the study population only consists of neurosurgical inpatients at EUH and GMH. CONCLUSION: We demonstrate that detailed analysis of crossover behavior provides a deeper understanding of the potential value of HIE.
Authors: Richard Hillestad; James Bigelow; Anthony Bower; Federico Girosi; Robin Meili; Richard Scoville; Roger Taylor Journal: Health Aff (Millwood) Date: 2005 Sep-Oct Impact factor: 6.301
Authors: D W Bates; D L Boyle; E Rittenberg; G J Kuperman; N Ma'Luf; V Menkin; J W Winkelman; M J Tanasijevic Journal: Am J Med Date: 1998-04 Impact factor: 4.965
Authors: J Marc Overhage; Paul R Dexter; Susan M Perkins; William H Cordell; John McGoff; Roland McGrath; Clement J McDonald Journal: Ann Emerg Med Date: 2002-01 Impact factor: 5.721
Authors: Eric G Poon; Jennifer S Haas; Ann Louise Puopolo; Tejal K Gandhi; Elisabeth Burdick; David W Bates; Troyen A Brennan Journal: J Gen Intern Med Date: 2004-04 Impact factor: 5.128
Authors: Srikrishna Sridhar; Patricia Flatley Brennan; Stephen J Wright; Stephen M Robinson Journal: J Am Med Inform Assoc Date: 2012-06-25 Impact factor: 4.497
Authors: Benjamin H Slovis; Tina Lowry; Bradley N Delman; Anton Oscar Beitia; Gilad Kuperman; Charles DiMaggio; Jason S Shapiro Journal: J Am Med Inform Assoc Date: 2016-05-13 Impact factor: 4.497
Authors: Zachary M Grinspan; Erika L Abramson; Samprit Banerjee; Lisa M Kern; Rainu Kaushal; Jason S Shapiro Journal: AMIA Annu Symp Proc Date: 2013-11-16
Authors: Zachary M Grinspan; Erika L Abramson; Samprit Banerjee; Lisa M Kern; Rainu Kaushal; Jason S Shapiro Journal: Epilepsia Date: 2014-03-05 Impact factor: 6.740