STS Quality Data Lead

As the STS Quality Data Lead at Q-Centrix, you will oversee quality tasks including team member orientation, performance coaching, and case validations. You’ll manage data integrity tasks ensuring accurate reporting and collaborate closely with the Clinical Services Lead on case-related concerns while designing educational materials for your team.

To qualify for the STS Quality Data Lead role at Q-Centrix, candidates should have a minimum of 2 years of direct data abstraction experience in the STS Registry. Experience with EMRs, proficiency in MS Office, and strong analytical skills are crucial. Preferred credentials include RN, LPN, RT, RVT, or RCIS.

Essential skills for the STS Quality Data Lead position include strong analytical and critical thinking abilities, high attention to detail, technical savvy, and excellent communication skills. Additionally, time management and the capacity to adapt to changing project requirements are also important.

At Q-Centrix, the training process for the STS Quality Data Lead involves a comprehensive orientation where you will be introduced to our proprietary technology, quality processes, and your responsibilities. You'll be supported by experienced team members who will help guide you through your initial weeks.

The work environment for the STS Quality Data Lead at Q-Centrix is fully remote, offering flexibility in your schedule. The company promotes an inclusive culture where learning, growth, and collaboration thrive, ensuring that employees feel supported and engaged in their meaningful work.

In your response, highlight your systematic approach to ensuring quality through regular performance reviews, coaching, and using metrics to monitor and improve accuracy. Discuss how you would implement feedback loops and reinforce best practices within the team.

Share a specific example where you've identified inefficiencies in the data abstraction process, outlined what steps you took to streamline it, and reflected on your team’s performance and quality improvements as a result.

Discuss your individualized coaching methods, emphasizing open communication, setting clear expectations, and providing constructive feedback. Mention how you adapt your style based on the needs of each team member to foster a productive environment.

Explain how you prioritize tasks, utilizing organizational tools to keep track of deadlines and deliverables. Share your technique for balancing workload and maintaining quality while adapting to shifting project timelines.

Articulate your understanding of data analysis as a means to drive decisions. Share examples where you've analyzed data trends to create actionable insights, enhance team performance, or improve partner satisfaction.

Discuss your conflict resolution approach, emphasizing communication and collaboration. Describe how you create an open dialogue for team members to voice their concerns while driving toward a resolution that maintains team harmony.

Outline your method for addressing performance issues, such as one-on-one discussions to understand the underlying causes and implementing tailored support to help the team member improve their quality output.

Provide insights into challenges like keeping up with evolving guidelines, data complexities, or team dynamics. Discuss how you plan to tackle these challenges proactively while maintaining a focus on quality.

Talk about your commitment to continuous learning through webinars, certifications, and industry publications. Share how you encourage your team to do the same and share knowledge within the group.

Express your passion for healthcare and quality data abstraction, and illustrate how Q-Centrix's mission aligns with your career goals. Highlight the company's culture as a significant reason for your enthusiasm to contribute to their success.