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STS Data Abstractor: Part-Time

Q-Centrix is a leading provider of clinical data management solutions to acute care hospitals, seeking a Data Abstraction Specialist to support healthcare outcomes through quality data solutions.

Skills

  • Clinical data abstraction
  • MS Office proficiency
  • Critical thinking
  • Time management
  • Technical savvy

Responsibilities

  • Apply specialized clinical knowledge to categorize, code, summarize, interpret, and calculate registry information.
  • Ensure quality submission of all data in specified registries.
  • Prioritize and organize multiple concurrent tasks while meeting tight deadlines.
  • Navigate new technical systems and troubleshoot issues.
  • Contribute to best practices and identify process improvement opportunities.
  • Stay updated on regulatory requirements.

Education

  • RN or LPN Credential or substantial clinical experience

Benefits

  • Flexible work environment
  • Learning and development opportunities
  • Competitive pay
  • Robust benefits
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$60360 / YEARLY (est.)
min
max
$56160K
$64560K

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What You Should Know About STS Data Abstractor: Part-Time, Q-Centrix

Join the Q-Centrix team as a Part-Time STS Data Abstractor, where your specialized clinical expertise can truly make a difference! We’re passionate about delivering quality data management solutions to acute care hospitals and believe that clinical data is central to providing safe and effective healthcare. In this role, you'll have the opportunity to work remotely while engaging with multiple hospital partners, helping to categorize, code, and interpret data from patient medical records. You'll manage various tasks, ensuring that all data submissions meet the high accuracy standards we pride ourselves on. With your strong analytical skills and attention to detail, you’ll help drive improved patient outcomes while also navigating technical systems like EMRs and data registries. The perfect candidate is someone who is self-motivated, enjoys problem-solving, and keeps up-to-date with regulatory requirements. By joining Q-Centrix, you're not just taking on a job; you’re contributing to a meaningful mission—bringing safer, more consistent healthcare to all. Plus, you’ll be part of a supportive community that values innovation and learning. So, if you’re ready to make a real impact in the healthcare industry, apply today and be part of reshaping clinical data management!

Frequently Asked Questions (FAQs) for STS Data Abstractor: Part-Time Role at Q-Centrix
What responsibilities does a Part-Time STS Data Abstractor have at Q-Centrix?

As a Part-Time STS Data Abstractor at Q-Centrix, your primary responsibilities will include applying your clinical knowledge to categorize and interpret data from patient medical records. You will also ensure the accurate submission of data in specified registries, manage multiple concurrent tasks with tight deadlines, and navigate technical systems such as electronic medical records. You'll have the opportunity to contribute to best practices and data guidelines while maintaining high standards of data accuracy to support improved healthcare outcomes.

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What qualifications are required to be a Part-Time STS Data Abstractor at Q-Centrix?

To qualify for the Part-Time STS Data Abstractor position at Q-Centrix, candidates should have direct abstraction experience with cardiac or thoracic registries. Proficiency with MS Office, particularly Excel, is necessary, and familiarity with various patient medical record systems is an asset. Preferred qualifications include having clinical experience or holding an RN or LPN credential. Additionally, strong analytical skills, attention to detail, and the ability to adapt to changing requirements are essential.

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What skills are important for the STS Data Abstractor role at Q-Centrix?

Important skills for the STS Data Abstractor role at Q-Centrix include strong analytical and critical thinking capabilities, a keen attention to detail, and technical savvy. The ability to effectively communicate with hospital partners and manage multiple tasks simultaneously while adapting to changing priorities is also crucial. A successful candidate will thrive in an independent work setting and demonstrate self-organization and time management prowess.

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Can you explain the work environment for a Part-Time STS Data Abstractor at Q-Centrix?

The work environment for a Part-Time STS Data Abstractor at Q-Centrix is fully remote, offering flexibility and a focus on results. Team members are encouraged to work independently while collaborating with a supportive community. Q-Centrix fosters an inclusive culture that values diversity and personal growth, making it an ideal setting for those passionate about making a meaningful impact in healthcare.

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What are the total rewards for the Part-Time STS Data Abstractor position at Q-Centrix?

At Q-Centrix, the total rewards for the Part-Time STS Data Abstractor position include a competitive hourly wage ranging from $27.00 to $31.00, based on experience and performance. Additionally, you’ll benefit from a flexible work environment, opportunities for learning and development, and a comprehensive rewards package that aims to support both health and financial wellness. Q-Centrix prioritizes employee engagement and career development, ensuring a rewarding and fun place to work.

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Common Interview Questions for STS Data Abstractor: Part-Time
How do you ensure accuracy when abstracting clinical data?

To ensure accuracy in clinical data abstraction, I follow established protocols and guidelines meticulously. I double-check data entries against source documents and maintain an organized workflow to minimize errors. Additionally, I stay current with changes in data requirements by participating in training and discussions with team leads, which helps me continuously improve my accuracy.

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Can you describe your experience with electronic medical records (EMRs)?

In my previous roles, I've worked with a variety of electronic medical record systems, including navigating patient records and extracting necessary data for abstraction. I am comfortable using EMR tools to locate specific information and troubleshoot any access issues. My ability to adapt quickly to new systems has always helped me maintain efficiency and accuracy in my work.

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How do you prioritize tasks when managing multiple hospital partners?

When managing multiple hospital partners, I prioritize tasks by assessing deadlines, the urgency of requests, and the complexity of the data involved. I create a daily checklist to track my progress and stay organized. Regular communication with my team also helps me effectively manage expectations and adjust my workload as necessary.

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What strategies do you use to handle tight deadlines in data abstraction?

To handle tight deadlines, I first break down the work into smaller, more manageable tasks and set mini-deadlines for each. This method helps me focus on completing each aspect efficiently. Additionally, I communicate proactively with hospital partners to clarify any urgent needs and remove potential bottlenecks, ensuring that I deliver high-quality work on time.

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How do you stay updated with regulatory requirements related to clinical data?

I stay updated with regulatory requirements by regularly reviewing guidelines from relevant federal and state agencies and participating in training sessions and webinars. Additionally, I engage with professional networks and forums where industry colleagues share insights and updates. This proactive approach ensures that I'm always informed and compliant in my work.

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How do you approach resolving technical issues with data entry systems?

When facing technical issues with data entry systems, I first try to diagnose the problem by referencing user manuals or help documentation. If issues persist, I reach out to team resources or technical support for assistance. I believe in documenting any issues encountered and their resolutions to streamline future troubleshooting processes.

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What role does teamwork play in your work as an STS Data Abstractor?

Teamwork is crucial in my role as an STS Data Abstractor, as collaboration leads to higher quality data management. I value input from my peers and actively participate in discussions to share best practices. Regular check-ins and open communication help us tackle challenges collectively and ensure that we’re all aligned with the organization's goals.

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What makes you a good fit for the Part-Time STS Data Abstractor role at Q-Centrix?

I believe my blend of clinical knowledge and data abstraction experience aligns well with the Part-Time STS Data Abstractor role at Q-Centrix. I have a strong commitment to delivering high-quality data, and my proactive approach to problem-solving will contribute positively to the team. Additionally, my compatible work ethic and eagerness to learn from my colleagues make me a valuable addition to Q-Centrix.

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Can you give an example of how you implemented a process improvement in your previous role?

In a previous role, I noticed inefficiencies in how data was being categorized. I initiated a process improvement by developing a standardized data dictionary that clarified definitions and coding practices for our team. This resource improved our accuracy and efficiency in data abstraction, significantly reducing the time spent on audits and corrections.

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How do you maintain confidentiality and security when handling patient information?

Maintaining confidentiality and security of patient information is paramount. I strictly adhere to HIPAA regulations and organizational policies regarding data handling. I use secure channels for sharing information and ensure that sensitive data is protected in accordance with best practices. Additionally, I foster a culture of compliance within my team, stressing the importance of privacy in all discussions.

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To measurably improve the safety and quality of patient care by unlocking the value of clinical data

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$56,160/yr - $64,560/yr
EMPLOYMENT TYPE
Part-time, remote
DATE POSTED
December 23, 2024

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