Clinical trials are becoming more and more complex. In this era, how standards and analytics can play an important role in optimizing business outcomes.
During our previous SDEs in 2018, we focused on how technology is changing the CDM landscape. The next step going forward is to talk about how standards are evolving in the age of digitalization. A standards-driven approach to clinical development enables more rapid study start-up and optimal data capture, facilitating the consolidation and aggregation of patient-centric datasets, interpretation, and integration. We will cover aspects of automation as to how repetitive tasks can be standardized plus exploring methods to efficiently process collection, management, and collaboration with clinical data. The other aspect of discussion also would be to explore and better understand the usage of MEDDRA and WHODD coding dictionaries.
Technology is evolving every day, leading the change to a new way of living. It helps us survive longer than we used to and to explore our world in more depth.
Through automation, technology is rapidly changing the way things are done across many industries. In terms of the healthcare industry, technology giants such as Amazon, Google or Apple are trying to approach this industry differently. For instance, Amazon is building its own electronic health record, Google is taking efforts on DNA sequencing, and Apple is turning its iPhone into a diagnostic data hub. These are only a few examples of all the new changes the healthcare sector is currently experiencing. Furthermore, IT companies are increasingly investing in the industry and accelerating their efforts to improve it by introducing new sensors, apps, and many other advanced tools.
Standards and its implementation with strong governance fundamental to the clinical trial process with CDISC providing the perfect framework for this metadata. In terms of the healthcare industry, HL7 standards and in terms of clinical trial CDISC standards trying to approach this industry to bring in multiple benefits. Thus, Metadata management and managing medical dictionaries across domains CDM and PV are becoming more effective. However, the session will be focused to explain and discuss live scenarios on standards management and of how Points to Considers & Standardized MedDRA queries are implemented and also understand WHODD to implement Standardized drug groups.
This conference will explore ideas and case studies to answer the below challenges in today’s CDM world and will look at harnessing new technologies to improve metadata management and terminology management
All this raises a major question: How to redefine the future of Clinical Standards & Terminology Management?
This conference will explore ideas and case studies to answer the below challenges in today’s CDM world and will look at harnessing standards to improve medical coding efficiency.
