Apply specialized clinical knowledge to categorize, code, and summarize patient data from medical records with high accuracy.
Manage multiple concurrent tasks, prioritize deadlines, and propose solutions to obstacles in a timely manner.
Navigate electronic medical records and registry tools, contributing to team best practices and process improvements.
Q-Centrix delivers data abstraction solutions for hospital partners to improve patient outcomes and advance research. They have a supportive, remote-first culture recognized as a Great Place to Work multiple years in a row.
Apply specialized clinical knowledge to categorize, code, and interpret registry data from patient medical records.
Ensure quality submission of data in specified registries, maintaining high accuracy standards.
Prioritize tasks, meet tight deadlines, and troubleshoot technical issues with EMR systems.
Q-Centrix partners with hospitals to deliver quality clinical data solutions, specializing in cancer registry and data abstraction. With a remote-first culture and employee-centric leadership, the company has earned the Great Place to Work distinction multiple years.
Accurately abstracts and cleans clinical data for CMS and national registries.
Provides feedback on measures and comparative data to physicians and management.
Participates in multidisciplinary teams to identify improvement opportunities in documentation and practice patterns.
UnityPoint Health is a healthcare system focused on providing quality care and fostering a culture of belonging. Recognized as a Top 150 Place to Work in Healthcare, they offer competitive benefits and support for team members.
Perform clinical medical record review and abstraction to support healthcare quality and compliance.
Apply established review criteria consistently and document findings clearly and objectively.
Work independently to complete accurate reviews within project deadlines while managing multiple priorities.
Health Services Advisory Group (HSAG) is transforming the delivery of healthcare in the United States. They are a growing team dedicated to improving healthcare quality, with a focus on community and collaboration.
Serve as a subject matter expert on cancer registry data standards, abstraction workflows, and reporting requirements.
Review data models, variable mappings, and potential automation use cases for consistency with registry standards.
Participate in periodic remote review meetings to guide technical and product teams on oncology data conventions.
John Snow Labs is an award-winning AI and NLP company that accelerates progress in data science by providing state-of-the-art software, data, and models for healthcare and life science. Founded in 2015, it is a global team of specialists, with 33% holding a Ph.D. or M.D. and 75% holding at least a Master's degree.
Identifies and abstracts reportable cancer cases for registry entry according to national and central requirements.
Performs annual follow-up reviews on active patients and interacts with them discreetly and professionally.
Maintains work records, runs quality edits in software, and meets department performance standards.
The University of Kansas Health System in Kansas City is a world-class healthcare provider and destination for complex care and diagnosis. It is part of the region's premier academic medical center, driven by commitment to service, continuous improvement, and excellence.