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Project one: Digital health data in clinical studies

Bringing the industry together to define quality in study design and reporting for digital medicine by establishing consistency in the evidentiary base used to support clinical applications of digital medicine tools.

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To achieve broad adoption and positively impact health, digital medicine products require evidence to demonstrate that they are trustworthy. The quality and quantity of evidence required to deem a product fit-for-purpose are not agreed upon by industry, patient, or government stakeholders. Currently, there is no consensus on what constitutes “evidence” or what metrics should be used to distinguish high-quality evidence from low-quality evidence.

Defining quality in study design and reporting will drive the field of digital medicine towards maturity by establishing consistency in the evidentiary base used to support clinical applications of digital medicine tools. This will in turn allow trials to be run in a distributed fashion, collecting more critical data which will help produce better outcomes and more precision medicines.

The project will combine inputs from the key areas of digital medicine – patients, CROs, sponsors and technology companies to ensure that each stakeholders requirements are considered.

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SEED will enable a FAIR aligned comprehensive semantic capture and translation of data across eLN providers at the point of entry. Output will be computer readable standard data, increasing capacity for provenance and attribute connection for insight and analysis

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Volumes of unstructured eLN content are exponentially growing
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Retrospective data analysis and searching of generally unstructured content is a huge challenge
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Availability of persistent identifiers challenges the capability of making data to be digitally discoverable and hinders aggregation of data inter-applications
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Through collaboration and alignment across the pharma industry, the SEED project will create a standardized computer readable FAIR aligned data foundation.

A working prototype solution will be created to enable data discoverability/insights inter and intra eLN system.

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Clear and aligned agreement across those representing
Extensive Requirement gathering
Phased usecases to prove the value of the approach
Pharma endorsement and agreement of an Aligned Need
eLN provider embracing and enabling the guidance from Pharma
Defined stage gates of delivery of the project

Project three: User Experience for Life Sciences

We are a community of practitioners from the pharmaceutical, healthcare, and software industries. We have launched the User Experience (UX) for Life Sciences (LS) project to enable business to adopt UX principles and methods as they develop scientific software. Our first deliverable will be a toolkit.

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What will the project achieve?
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UX is a powerful tool for supporting the creation of effective and usable interfaces. Whilst UX is relatively widespread, the full potential of UX is still to be realised in the life sciences. The goal of this project is to empower life science professionals to get the most from these UX resources.

This project aims to enable UX in the R&D life sciences through engagement with a wider audience including stakeholders such as senior management. Our vision is to communicate the value added by UX at all levels of our organisations.

The project has built a toolkit which focus’s on issues faced in developing digital products specifically for R&D in the life science and healthcare environments. The UXLS toolkit includes UX techniques, methods and business-critical metrics.

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快喵vpv加速器官网网址-猎豹vp加速器官网

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快喵vpv加速器官网网址-猎豹vp加速器官网

快喵vpv加速器官网网址-猎豹vp加速器官网

快喵vpv加速器官网网址-猎豹vp加速器官网

快喵vpv加速器官网网址-猎豹vp加速器官网

快喵vpv加速器官网网址-猎豹vp加速器官网

快喵vpv加速器官网网址-猎豹vp加速器官网

Project one: Digital health data in clinical studies

快喵vpv加速器官网网址-猎豹vp加速器官网

Project three: User Experience for Life Sciences

快喵vpv加速器官网网址-猎豹vp加速器官网

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06 Oct 2025 - 08 Oct 2025

12 Oct 2025 - 10 Mar 2021

13 Oct 2025 - 14 Oct 2025

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