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Related Concept Videos

Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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Related Experiment Video

Updated: Jun 4, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Near-Real-Time Clinical Trial Accrual Dashboard in a National Cancer Institute-Designated Cancer Center: Mixed

Sam Pepper1,2, Isuru Ratnayake1,2, Mohammod Mahmudur Rahman1

  • 1University of Kansas Medical Center, Kansas City, KS, United States.

JMIR Medical Informatics
|June 2, 2026
PubMed
Summary

A new near-real-time clinical trial accrual dashboard enhances data quality and transparency in cancer centers. This system shifts accrual monitoring from retrospective reporting to proactive operational review, improving trial oversight.

Keywords:
R Shiny dashboardcancer center operationsclinical trial accrualdata qualityimplementation science

More Related Videos

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Related Experiment Videos

Last Updated: Jun 4, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Area of Science:

  • Clinical research operations
  • Health informatics
  • Cancer clinical trials

Background:

  • Current clinical trial accrual monitoring often relies on outdated manual methods like spreadsheets.
  • These methods provide delayed and incomplete insights, hindering timely identification of recruitment challenges.
  • Scalable, real-time oversight systems are uncommon in academic cancer centers.

Purpose of the Study:

  • To design, implement, and operationalize a near-real-time clinical trial accrual dashboard.
  • To evaluate the dashboard's impact on accrual monitoring workflows within an academic cancer center.
  • To assess user adoption and operational changes resulting from the dashboard implementation.

Main Methods:

  • Developed an enterprise dashboard integrating daily clinical trial management system data.
  • Incorporated automated data quality validation and time-series accrual forecasting.
  • Utilized RE-AIM and digital health reporting frameworks for implementation and evaluation.

Main Results:

  • The dashboard achieved institution-wide use, logging 1605 user sessions and improving data reliability.
  • Replaced manual monthly reports with continuous monitoring, enabling earlier identification of lagging studies.
  • Accrual forecasting supported anticipatory planning; initial user resistance decreased with workflow maturation.

Conclusions:

  • Near-real-time accrual dashboards are feasible and sustainable in academic cancer centers.
  • These systems enhance data quality, transparency, and workflow integration for improved accrual oversight.
  • Dashboards facilitate a shift from retrospective reporting to proactive, institution-wide operational review.