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The role of digital health technology tools in supporting medical adherence
In this article in Pharmaceutical Market Europe, Dr Peter Schueler and Dr Isaac R Rodriguez Chavez outline the role of digital health technology tools in supporting medical adherence. 2022 PM Group
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Voice enabling participant diary collection powered by AI on AWS – Part 2
Together with Amazon Web Services (AWS), the ICON team worked to understand how to develop voice capabilities in the context of an operational plan to establish a framework that can be extended when demand for Voice in clinical research grows.
By understanding how to develop a private AMAZON VOICE SKILL using ALEXA/LEX framework for eCOAs including ePROs, and documenting future integration points with the ICON Digital Platform (IDP), ICON has completed foundational steps in the implementation of voice capabilities.
This blog outlines considerations for integrating voice-enabled diary data within a clinical trial, and serves as an example of how ICON applies innovation to enable efficient and effective patient participation in clinical research.
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The Use of Predictive Analytics to Improve Quality in Clinical Trials Quality Assurance
Rose Kidd, Executive Vice President, Quality and Compliance at ICON, discusses how predictive analytics provide a real opportunity to develop new and innovative processes in the area of QA.
This article is taken from International Pharmaceutical Industry, Volume 14, Issue 3, pages 32-33. Senglobal Ltd
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The surge of digital health technologies modernising clinical research
Dr. Isaac R. Rodriguez-Chavez outlines the key considerations when developing digital health technologies.
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Precision medicine
Ewa Kleczyk, Vice President, Advanced & Custom Analytics, offers her insights on the use of precision medicine in clinical trials.
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The silent problem: Machine learning model failure - How to diagnose and fix ailing machine learning models
This article considers the current issues around the applicability of Machine Learning Models.
Bennett, M. Balusu, J., Hayes, K., & Klecyzk, E. J., The Silent Problem- Machine Learning Model Failure - How to Diagnose and Fix Ailing Machine Learning Models. Cornell University ArxIV. doi: 10.48550/arXiv.2204.10227
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How healthcare can develop through digital innovation
Gerard Quinn and Barbara Skerritt offer their insights into the rapid acceleration of digital innovation in clinical research in the past two years.
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Will big tech dominate healthcare in the years ahead?
Louisa Roberts, VP of Corporate Development and Partnerships, considers the benefits of partnerships with tech companies.
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Identifying integrated digital platforms designed for a decentralised future
Matt Harrington, VP of Connected Health Technology Solutions, explores how the use of digital platforms and associated services can contribute to more adaptable, accessible and efficient clinical trials.
