Literature DB >> 33936400

Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting.

Alex Butler1, Junghwan Lee1, Yat So1, Linda Busacca1, Karen Marder1, Henry N Ginsberg1, Dianne Frederick1, Ismael Castaneda1, Elizabeth Guerridoi1,2, Chunhua Weng1,2.   

Abstract

Rapidly increasing costs have been a major threat to our clinical research enterprise. Improvement in appointment scheduling is a crucial means to boost efficiency and save cost in clinical research and has been well studied in the outpatient setting. This study reviews nearly 5 years of usage data of an integrated scheduling system implemented at Columbia University/New York Presbyterian (CUIMC/NYP) called IMPACT and provides original insights into the challenges faced by a clinical research facility. Briefly, the IMPACT data shows that high rates of room and resource changes correlate with rescheduled appointments and that rescheduled visits are more likely to be attended than non-rescheduled visits. We highlight the differing roles of schedulers, coordinators, and investigators, and propose a highly accurate predictive model of participant no-shows in a research setting. This study sheds light on ways to reduce overall cost and improve the care we offer to clinical research participants. ©2020 AMIA - All rights reserved.

Entities:  

Year:  2021        PMID: 33936400      PMCID: PMC8075470     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  18 in total

1.  A randomized database study in general practice yielded quality data but patient recruitment in routine consultation was not practical.

Authors:  Georgio Mosis; Jeanne P Dieleman; Bruno Ch Stricker; Johan van der Lei; Miriam C J M Sturkenboom
Journal:  J Clin Epidemiol       Date:  2006-03-13       Impact factor: 6.437

2.  Clinical research sites--the underappreciated component of the clinical research system.

Authors:  Robert M Califf
Journal:  JAMA       Date:  2009-11-11       Impact factor: 56.272

3.  Patient no-show predictive model development using multiple data sources for an effective overbooking approach.

Authors:  Y Huang; D A Hanauer
Journal:  Appl Clin Inform       Date:  2014-09-24       Impact factor: 2.342

4.  An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems.

Authors:  Chunhua Weng; Yu Li; Solomon Berhe; Mary Regina Boland; Junfeng Gao; Gregory W Hruby; Richard C Steinman; Carlos Lopez-Jimenez; Linda Busacca; George Hripcsak; Suzanne Bakken; J Thomas Bigger
Journal:  J Biomed Inform       Date:  2013-05-16       Impact factor: 6.317

5.  Reducing appointment no-shows: going from theory to practice.

Authors:  Todd Molfenter
Journal:  Subst Use Misuse       Date:  2013-04-22       Impact factor: 2.164

6.  Preference based load balancing as an outpatient appointment scheduling aid.

Authors:  Uthpala Subodhani Premarathne; Fengling Han; Ibrahim Khalil; Zahir Tari
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

7.  Barriers, enablers, and incentives for research participation: a report from the Ambulatory Care Research Network (ACRN).

Authors:  Suzanne Bakken; Rafael A Lantigua; Linda V Busacca; J Thomas Bigger
Journal:  J Am Board Fam Med       Date:  2009 Jul-Aug       Impact factor: 2.657

8.  Missed appointments in resident continuity clinic: patient characteristics and health care outcomes.

Authors:  Douglas L Nguyen; Ramona S Dejesus; Mark L Wieland
Journal:  J Grad Med Educ       Date:  2011-09

9.  Prediction of hospital no-show appointments through artificial intelligence algorithms.

Authors:  Sarab AlMuhaideb; Osama Alswailem; Nayef Alsubaie; Ibtihal Ferwana; Afnan Alnajem
Journal:  Ann Saudi Med       Date:  2019-12-05       Impact factor: 1.526

10.  Data Analytics and Modeling for Appointment No-show in Community Health Centers.

Authors:  Iman Mohammadi; Huanmei Wu; Ayten Turkcan; Tammy Toscos; Bradley N Doebbeling
Journal:  J Prim Care Community Health       Date:  2018 Jan-Dec
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.