3 minute read
Empower Your Team
With so much attention being paid to the processes and technology needed to push digital transformation initiatives forward, the people who ground the important work behind clinical development should not be forgotten. These teams celebrate wins and inspire change; empowering them to work smarter is just as vital to meeting research goals as investments in technology are.
Hiring team members who share a passion for collaboration and represent a broad range of perspectives is one way to ensure that problems will be tackled from many points of view. Diversity in experience unlocks innovation and when new ideas are fostered by resources, teams are given room to thrive and discover. Here are ways to tap into critical insights to achieve research objectives:
• Frame the problem: Instead of focusing on the technology, consider the problem you are trying to solve. What happens when the known assumptions of that problem are tested? Crucial information is gleaned from looking first at the challenge. A solution may arise when a problem is approached in a new way. • Set the goals: To achieve success, look to the results that you want to exceed in a specific model. If those results become the standard, experiments and efforts can be targeted to surpass those goals in clinical research. • Commit to networking: Create an ecosystem that promotes entrepreneurship. By connecting with professionals who can extend your knowledge, you’re establishing a group of trusted professionals who can be relied on for consistent support or advice.
This raises awareness of your research and increases the potential to discover new approaches and methods that can lead to breakthroughs in clinical development.
Data proliferation will continue to rise and demand for talent in key data management roles will only increase along with it. The 2019 Tufts-eClinical Solutions Data Strategies and Transformation study looked at how organizations are handling the influx of clinical trial data and showed the manual work required by data managers and other team members is both time-consuming and tedious. The implementation of a clinical data platform can support teams and help them avoid burnout.
The hidden costs of data management churn from burnout include financial fallout and added workload on others, while important initiatives get shelved. There is a better way forward with technology that enables data managers to automate and unify all data sources into a single source of truth. This allows for projects to be more transferable within teams for faster transitioning and ramp up for new team members while reducing manual data review activities by 35%1 .
1 eClinical Solutions (2019 –2021). Internal Analysis of 39 Studies Using eClinical Data Services that Leverage the elluminate Clinical Data Cloud.
Current State
There are not enough highly qualified Data Managers (DMs) to work on your projects.
There are
4,000+
open DM jobs1 There is a high turnover rate in data management
The Problem is Compounding
70%
coming from outside of EDC2 Trials are increasingly complex
Volume, velocity and variety overall – accelerated by decentralized data sources. Technology infrastructure lagging
75%
of companies are still using SAS or EDC/Excel as the core of their data integration and review strategy. Manual work takes a long time
Data review using SAS & Excel is difficult, manual and time consuming and suitable for greater automation!
The Dead-End Cycle of Burnout
Lose team member Remaining team works 15 - 30% harder
Team burns out
67%
of all workers believe burnout has worsened during the pandemic.3
Losing a Team Member You Lose: Almost 1/2 of your time spent:4
. Transitioning work . Recruiting . Training new hires for 4 months You are forced to...
Only focus on critical path work
De-prioritize important initiatives such as planning & standardization What if I outsource everything?
Having your data spread across numerous vendors only compounds the problem - impacting data quality & timelines. The providers you work with are experiencing, on average, higher churn rates.
On the Insider Blog: The Top Three Hidden Costs of Data Management Churn
