By providing CT-SCOUT™ to your clinical sites you will both facilitate their contribution to your studies and get a better overview of the site recruitment activities for your studies. You can also further enlarge your patient reach by providing ToTem4me to referral sites, with no need to train them on your studies.
Telemedicine Technologies favors direct contact with patients (with the medical team via ct-scout) and (with an expert clinical trial coordinator via ToTem4me) to involve them wherever they are and empower them to make the decision to participate in a clinical trial.
Through a questionnaire based on a powerful and reliable algorithm, you can pre-select qualified patients for your trial.
A coordinator is made available to the patient following registration on ToTem4me to follow up with the patient before, during and after inclusion in a clinical trial. A notification is sent to the clinical research team once a pest has been detected on CT-SCOUT™.
December 19, 2024
2-4 February 2025 – Copenhagen | Booth 21 We’re thrilled to showcase CleanWeb™, our advanced eClinical Suite for managing Clinical Trials, Registries, and Managed Access Programs. With 20+ integrated modules, CleanWeb™ simplifies research and drives innovation. Meet our team and discover how we can support your upcoming clinical projects. Alongside our CRO Alliance partners (CERC, […]
December 19, 2024
Trial Site News The United Kingdom (UK) government has announced a £100 million public-private investment to establish 20 research/trial site hubs across the country, a move aimed at bolstering clinical trials and advancing treatment access. This initiative, part of the Voluntary Scheme for Branded Medicine Pricing, Access and Growth (VPAG) Investment Programme, is a collaboration between the […]
December 19, 2024
Med City News LLMs bring great potential to help the healthcare industry center care around patients’ needs by improving communication, access, and engagement. However, LLMs also present significant challenges associated with privacy and bias that also must be considered. Large language models (LLMs) have generated buzz in the medical industry for their ability to pass […]