ReviewAMIA ... Annual Symposium proceedings. AMIA Symposium2020
Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting.
Review in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 0 citations in OpenAlex.
- Introducing GABLE: Lightweight infrastructure for longitudinal experiments using Google Apps Script.Behavior research methods · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
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.
Indexed as
Identifiers
33936400PMC8075470W3158092241What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.