Due to unforeseen circumstances, we have made the difficult decision to cancel this program. All current registrations will be reimbursed.
OVERVIEW //
In today’s data-driven world, the identification, management, and successful implementation of bioinformatics tools has become a more complicated task, making it increasingly difficult to comprehend the pivotal role that data play in delivering innovative solutions to pervasive issues. This program brings together University of Chicago faculty and pharmaceutical industry experts to provide comprehensive instruction on health informatics, with the aim of supporting professionals across the pharmaceutical, academic medical, and private sectors to leverage biomedical informatics to improve health outcomes.
PROGRAM STRUCTURE //
The 2.5-day program will deliver an immersive experience for both deep learning and networking across industries. Attendees can expect 30-40 minute plenary lectures by distinguished speakers followed by moderated panel discussions. To provide personal, in-depth conversation, registration is limited to 150 attendees.
WHO SHOULD ATTEND //
- Mid-senior level pharma executives and CROs who seek to grow their expertise in biomedical informatics and institutional data usage
- Physicians in administrative leadership positions at academic and/or private healthcare organizations
- Founders, investors, and administrators in IT startups
- Payors and/or insurance companies who are interested in gaining insider perspectives
KEY TAKEAWAYS //
- Certificate of Completion from the University of Chicago and the Chicago Booth School of Business
- Toolkit with skills, disciplines, methods, and strategies for implementing informatics solutions that fit your institutional needs
- Access a diverse network of pharmaceutical and healthcare industry leaders
THE COMPLEXITIES OF BIOINFORMATICS //
This program will address the complexities of data collection and documentation and provide tools for leaders to implement sound data standards. The learning modules cover several topics, such as:
- Leveraging data standards to meet end-user needs in developing and documenting datasets, as well as in data transformation processes, information access provision, and timeliness.
- Creating executive management decision guides for internal and external data protection policies, ensuring secure and efficient data management.
- Establishing best practices for stakeholder alignment in platform trials, where information changes over time and data are shared for secondary use.
- Ensuring alignment of shared information when users make changes to data over time, maintaining consistency and accuracy.
- Developing a standardized framework for measuring data fidelity, ensuring that the information is reliable and consistent.
- Implementing controls to address data provenance and selection, safeguarding the integrity of information.
- Producing frameworks for acquiring new technologies and software, keeping pace with the latest developments and innovations.
- Overcoming other data-related barriers that limit strategic growth, maximizing the potential of bioinformatics information.
