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Certified Oncology Data Specialist PRN

AdventHealth Central Florida
On-site
Orlando, Florida, United States
Data Specialist

The expertise and experiences youโ€™ll need to succeed\:

  • Completion of education program and/or work experience required for Oncology Data Specialist Certified, as defined by the National Cancer Registrarsโ€™ Association.
  • degree in Healthcare or Health Information Management or 2 years cancer registry abstraction experience
  • degree in Healthcare or Health Information Managementย 
  • Current and valid Oncology Data Specialist certification

All the benefits and perks you need for you and your family:

  • Benefits from Day One
  • Paid Days Off from Day One
  • Student Loan Repayment Program
  • Career Development

Our promise to you\:

Joining AdventHealth is about being part of something bigger. Itโ€™s about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind and spirit. AdventHealth is a place where you can thrive professionally, and grow spiritually, by Extending the Healing Ministry of Christ. Where you will be valued for who you are and the unique experiences you bring to our purpose-minded team. All while understanding that together we are even better.

Schedule:ย  PRN (Remote)

Shift\:ย Day

Location\: 601 East Rollins Street Orlando, FL 32803

The community youโ€™ll be caring for\: AdventHealth Orlando

  • Located on a lush tropical campus, our flagship hospital, 1,368-bed AdventHealth Orlandoย 
  • Serves as the major tertiary facility for much of the Southeast, the Caribbean and South Americaย ย 
  • AdventHealth Orlando houses one of the largest Emergency Departments and largest cardiac catheterization labs in the countryย 
  • We are already one of the busiest hospitals in the nation, providing service excellence to more than 32,000 inpatients and 125,000 outpatients each yearย 

The role youโ€™ll contribute:

The Oncology Data Specialist Certified is responsible for improving quality and outcomes for the Cancer Institute across the Central Florida Division. The ODS-C completes casefinding, abstracting, longitudinal patient follow-up, and completes additional activities as needed to meet standards set by the American College of Surgeons Commission on Cancer (ACoS CoC) as well as the Florida Cancer Data Systems (FCDS).The ODS-C is responsible for ensuring all clinical elements accurately reflect the care provided by AdventHealth to allow for accurate state, federal, and public reporting. The ODS-C serves as the Cancer Registry content expert to review patient diagnosis, treatment, and outcomes across the care continuum. The ODS-C is responsible for alerting leadership of potential discrepancies in documentation or clinical care variation as part of ongoing performanc improvement. Actively participates in continuing education in order to stay abreast of all applicable changes in the cancer industry with regards to coding and compliance.

The value youโ€™ll bring to the team\:

  • Serves as the Cancer Registry content expert responsible for identification of potential cancer registry candidates in strict compliance with standards and abstracting rules set by federal, state, and national accrediting body requirements.
  • Responsible for abstracting and clinically coding accurate patient data using appropriate cancer classification and coding systems as well as the most current cancer staging manuals, National Comprehensive Cancer Network (NCCN) guidelines, and other pertinent reference manuals for all cancer patients diagnosed and/or treated by AdventHealth facilities.
  • Accountable for identifying any potential clinical variability or discrepancies of documentation that vary from national guidelines and outcome measures. These instances of trends are escalated to leadership to allow for timely intervention and feedback to front line clinicians.
  • Responsible for using critical thinking and independent judgement when conflicting clinical information is present to determine appropriate categorization of data elements and outcomes. This may include making clinical inferences with autonomy to accurately capture all required metrics.