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With more data being collected directly from patients, either via wearable devices and sensors, electronic clinical outcome assessment (eCOA), and/or telehealth platforms, there is an urgent need to shift our thinking from reactive strategies into proactive planning and technology-based solutions to replace the query and listing-based reviews of trials past.
The challenge for those in Data Management leadership and those working directly on trials themselves is how best to incorporate an ever-increasing list of data sources, novel data types, and analytic tools executing the core function of Data Management - ensuring that the clinical data collected is fit for purpose.
This white paper explores how Data Management can be better equipped to provide engagement from protocol design, to data visualisation development and patient-centric technology solutions in any phase of a decentralised trial.
