title: Measuring Chemotherapy Appointment Duration and Variation Using Real-Time Location Systems.
abstract: Clinical schedules drive resource utilization, cost, and patient wait time. Accurate appointment duration allocation ensures appropriate staffing ratios to daily caseloads and maximizes scarce resources. Dana-Farber Cancer Institute (DFCI) infusion appointment duration is adjusted by regimen using a consensus method of experts including pharmacists, nurses, and administrators. Using real-time location system (RTLS), we examined the accuracy of observed appointment duration compared with the scheduled duration.
  
  
  
  Appointment duration was calculated using RTLS at DFCI between August 1, 2013, and September 30, 2013. Duration was defined as the total time a patient occupied an infusion chair. The top 10 administered infusion regimens were investigated (n = 805).
  
  
  
  Median observed appointment durations were statistically different than the scheduled durations. Appointment durations were shorter than scheduled 98% (C), 95% (I), and 75% (F) of the time and longer than scheduled 77% (A) and 76% (G) of the time. Fifty-six percent of the longer than scheduled (A) appointments were at least 30 minute longer.
  
  
  
  RTLS provides reliable and unbiased data to improve schedule accuracy. Replacing consensus with system-based data may improve clinic flow, relieve staff stress, and increase patient satisfaction. Further investigation is warranted to elucidate factors that impact variation in appointment duration.
authors.forename: Constance M
authors.initials: CM
authors.lastname: Barysauskas
authors.forename: Gina
authors.initials: G
authors.lastname: Hudgins
authors.forename: Katie Kupferberg
authors.initials: KK
authors.lastname: Gill
authors.forename: Kristen M
authors.initials: KM
authors.lastname: Camuso
authors.forename: Janet
authors.initials: J
authors.lastname: Bagley
authors.forename: Sheila
authors.initials: S
authors.lastname: Rozanski
authors.forename: Sarah
authors.initials: S
authors.lastname: Kadish
mesh_terms: D000554:Ambulatory Care Facilities; D001071:Appointments and Schedules; D003625:Data Collection; D006801:Humans; D017060:Patient Satisfaction