Outcomes Selection
Overview: The overall aim of the Big Data for Better Outcomes (BD4BO) programme is to facilitate the use of ‘big data’ in the development of a more value-based and outcomes-focused healthcare systems Europe.
Collecting the same outcomes across a range of sources has many advantages including enabling the pooling of outcome data across a wider population.
DO-IT looked at how to identify, select and measure core outcomes sets, focusing on how we create transparency in how outcomes are selected and involving a wide range perspectives including patient representatives so that outcomes are meaningful for all stakeholders.
Enabling effective big data use
Overview: an overall aim of the BD4BO project is to facilitate the wider use of big data and real world data. Realising the potential of big data and real world data requires the correct tools for credible and acceptable evidence and conditions that enable data sharing. DO-IT has engaged with HTA bodies to understand their perspective on real work evidence and has produced a review of econometric methods for real world data analysis and undertake a case study review of core outcome sets with consideration of their availability in real world data.
Knowledge Management
Overview: DO-IT as the CSA serves to support and amplify the work of the range of DSPs sitting under the BD4BO banner. The project has increased the visibility and ease of access to BD4BO outputs by creating a central portal for accessing outputs produced across the programme. Outputs from BD4BO projects cross a range of disease areas but share similarities in the methodological, data and privacy issues, the BD4BO Knowledge Hub enables BD4BO projects and other parties in big data analysis to learn from each other's work.
Data privacy
Overview: ensuring consent, confidentiality and patient privacy is protected is a prerequisite for building trust in big data and real world evidence. Sharing data across different legal systems is a challenge for big data research. DO-IT has produced an informed consent form and other outputs to encourage data sharing with the potection of privacy.
Advocacy and engagement
Overview: Something on advocating the use of big data and creating spaces for engagement and collaboration
Outreach events
- UK outreach event
- TLV outreach discussion in Jan 2017
- Germany outreach activities
- Spain outreach activities
- DIA Europe conference
- Eyeforpharma conference
- BD4BO Symposium
- Nordic Conference on RWE
- CEE Webinar
- TLV Webinar on acceptability of evidence
- Brussels GA outreach event on AI/future of big data
Future challenges and opportunities for big data
Overview: Big data research involves new challenges beyond those of traditional research projects. There is also great potential for the use of big data and real world evidence, DO-IT have produced a road map outlining the challenges and opportunities for big data and a review of unmet big data needs.