BACKGROUND: Failed referrals for specialty care are common and often represent medical errors. Technological structures and processes account for many failures. Scheduling appointments for subspecialty evaluation is a first step in outpatient referral and consultation. OBJECTIVE: We determined whether moving from paper-based referrals to a Web-based system with automated tracking features was associated with greater scheduling of appointments among referred patients. DESIGN: Staggered implementation of a quality-improvement project, with comparison of intervention and control groups. PARTICIPANTS: Patients 21 or more years of age referred from any of 11 primary-care clinics to any of 25 specialty clinics. INTERVENTIONS: Faxed referrals were replaced by a Web-based application shared by generalists and specialists, with enhanced communications and automated notification to the specialty office. MEASUREMENTS: We compared scheduling before and after implementation and time from referral to appointment. A logistic regression analysis adjusted for demographics. MAIN RESULTS: Among 40,487 referrals, 54% led to scheduled specialty visits before intervention, compared to 83% with intervention. The median time to appointment was 168 days without intervention and 78 days with intervention. Scheduling increased more when duplicate referrals were not generated (54% for single orders, 24% for multiple orders). After adjustment, referrals with the intervention were more than twice as likely to have scheduled visits. CONCLUSIONS: With a new Web-based referrals system, referrals were more than twice as likely to lead to a scheduled visit. This system improves access to specialty medical services.
BACKGROUND: Failed referrals for specialty care are common and often represent medical errors. Technological structures and processes account for many failures. Scheduling appointments for subspecialty evaluation is a first step in outpatient referral and consultation. OBJECTIVE: We determined whether moving from paper-based referrals to a Web-based system with automated tracking features was associated with greater scheduling of appointments among referred patients. DESIGN: Staggered implementation of a quality-improvement project, with comparison of intervention and control groups. PARTICIPANTS: Patients 21 or more years of age referred from any of 11 primary-care clinics to any of 25 specialty clinics. INTERVENTIONS: Faxed referrals were replaced by a Web-based application shared by generalists and specialists, with enhanced communications and automated notification to the specialty office. MEASUREMENTS: We compared scheduling before and after implementation and time from referral to appointment. A logistic regression analysis adjusted for demographics. MAIN RESULTS: Among 40,487 referrals, 54% led to scheduled specialty visits before intervention, compared to 83% with intervention. The median time to appointment was 168 days without intervention and 78 days with intervention. Scheduling increased more when duplicate referrals were not generated (54% for single orders, 24% for multiple orders). After adjustment, referrals with the intervention were more than twice as likely to have scheduled visits. CONCLUSIONS: With a new Web-based referrals system, referrals were more than twice as likely to lead to a scheduled visit. This system improves access to specialty medical services.
Authors: Mark Linzer; Robert J Myerburg; Jean S Kutner; C Mel Wilcox; Eugene Oddone; Raphael J DeHoratius; Gerald V Naccarelli Journal: Am J Med Date: 2006-06 Impact factor: 4.965
Authors: Ivo A Olivotto; Asako Gomi; Christina Bancej; Jacques Brisson; Jon Tonita; Lisa Kan; Zeva Mah; Marion Harrison; Rene Shumak Journal: Cancer Date: 2002-04-15 Impact factor: 6.860
Authors: Kevin C Abbott; Scott Mann; Daisy DeWitt; Linda Youngblood Sales; Sean Kennedy; Ron K Poropatich Journal: Mil Med Date: 2002-03 Impact factor: 1.437
Authors: Biswita C Mozumdar; Douglas Neal Hornsby; Adheet S Gogate; Lisa A Intriere; Richard Hanson; Karen McGreal; Pauline Kelly; Pablo Ros Journal: Acad Radiol Date: 2003-08 Impact factor: 3.173
Authors: Malhar P Patel; Priscille Schettini; Colin P O'Leary; Hayden B Bosworth; John B Anderson; Kevin P Shah Journal: J Gen Intern Med Date: 2018-03-12 Impact factor: 5.128
Authors: Ann M Nguyen; Charles M Cleland; L Miriam Dickinson; Michael P Barry; Samuel Cykert; F Daniel Duffy; Anton J Kuzel; Stephan R Lindner; Michael L Parchman; Donna R Shelley; Theresa L Walunas Journal: Ann Fam Med Date: 2022 May-Jun Impact factor: 5.707
Authors: Rashid L Bashshur; Joel D Howell; Elizabeth A Krupinski; Kathryn M Harms; Noura Bashshur; Charles R Doarn Journal: Telemed J E Health Date: 2016-05 Impact factor: 3.536