CLINICAL TRIAL PATIENT TECHNOLOGY INSIGHTS
-
Why Patients Drop Out And How To Stop Them
From scheduling friction to silent financial stress, patient dropout derails trials. Here’s what’s causing it and the tech helping sites fight back.
-
Predictive Analytics Is Reshaping How Sponsors Run Clinical Trials
Predictive analytics is transforming clinical trial operations, from enrollment forecasting to risk-based monitoring. Here’s what sponsors need to know.
ECOA RESOURCES
-
Enhance hybrid trials with digitalization through remote data capture using smartphones, tablets, and computers, improving participant experience and data integrity.
-
A Japan-based pharmaceutical development company utilized Signant's eCOA solutions and knowledge to ensure the reliability of endpoints in their Phase 3 and extended-duration CNS trials.
-
A truly integrated eSource Solution, including DDC, eCOA, and eConsent, facilitates remote or decentralized clinical trials by ingesting data from multiple sources and consolidating it into a single data set.
ECONSENT RESOURCES
-
A truly integrated eSource Solution, including DDC, eCOA, and eConsent, facilitates remote or decentralized clinical trials by ingesting data from multiple sources and consolidating it into a single data set.
-
Find out how the Digital Medicine Society (DiMe), an interdisciplinary professional society for digital medicine, was able to deploy an eConsent module in less than two weeks to support its remote study to assess nocturnal scratching as an endpoint for patients.
-
Gain insight from several contributing experts for overcoming unique obstacles in rare disease research and learn how to better develop strategies.
EPRO RESOURCES
-
Explore the importance of involving caregivers in the care process and how electronic patient-reported outcomes technology can facilitate communication, tracking, and collaboration.
-
Gain insight from several contributing experts for overcoming unique obstacles in rare disease research and learn how to better develop strategies.
-
Learn why neuroscience therapy developers should start adopting strategies to improve data quality and assess responses using a combination of technology and expert clinician review.