Session 11 - Going Beyond the Pill with Data Democratization? - Challenges, best practices and way forward
Monday, September 14, 2020: 9:30 AM - 10:30 AM
/ CEU Credits:0.2
SESSION CHAIRS & SPEAKERS
What it takes to go beyond the "research - manufacture and - sale" model? Will data help healthcare to go "beyond the pill"? Projections indicate that there could be over 2000 exabytes of new healthcare data generated by the year 2020. With this explosion of data, and the contemporary technology boom, it's time to take a more in-depth look at how using and sharing data can transform healthcare. Also, in the digital era of connectivity, the healthcare product consumers are looking for the industry to step-up and be an active partner with them. Data democratization has the potential to answer to this demand by making data accessible to the average non-technical user of information systems. Healthcare data democratization could be the roadmap to a world in which patients equipped with data, technology, and expertise can take charge and manage their own health care. It also could be an answer to the global health issues where healthcare professionals around the world can take help from data-enabled systems to make the best healthcare decisions. Data Democratization also opens opportunities to access real-world patient experiences and to feed them back into clinical trial systems. Though cutting-edge technologies such as artificial intelligence and blockchain are breaking down silos and incentivizing robust and transparent data-sharing practices, there are still technological, cultural, ethical, and data privacy legislation related challenges on which the healthcare industry needs to work together. Data democratization pushes organizations to reinvent how they manage, distribute, and interpret data while safely freeing information from the silos into a borderless ecosystem of data. That often demands a massive cultural change within the organization. Organizations should also be aware of the ethical pitfalls because there are no common and shared best practices on how companies should interpret or analyze this data. Developing data democratization models and best practices pertaining to computing, analyzing, and sharing data securely is not a challenge to be faced by a single company. This session will explore the difficult data democratization challenges the healthcare industry is facing and try to provide a common platform for different stakeholders of this industry to kickstart collaboration and pave a path towards sustainable solutions.
- Will democratizing clinical trial data break down the barriers required to fundamentally change the way patients and healthcare work together?
- Key enablers, and obstacles of data democratization
- Considerations to develop data democratization models and best practices on computing, analyzing, and sharing data securely
- Considerations around data privacy legislation such as GDPR.
2.A new way for patients and healthcare work together - Patient Centricity
3.Data democratization models and best practices
4.Considerations around data privacy
CDM Certification Competencies::
Electronic Data Collection,Clinical Trials Processes, Roles, and Responsibilities,Processing External Data
DM Management,Programmer,Statistician,Data Scientist