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Radv Jobs (NOW HIRING)

... RADV audits Crossfunctional Collaboration Partner with clinical providers to deliver Documentation Improvement CDI training ensuring that medical charts comprehensively capture a patients overall ...

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Provide Appeals support as RADV Subject Matter Expert at CMS request * Participate and contribute to QA Panel discussions for medical record review intake/coding and appeals, as needed. * Interact ...

Provide Appeals support as RADV Subject Matter Expert at CMS request * Participate and contribute to QA Panel discussions for medical record review intake/coding and appeals, as needed. * Interact ...

Risk Adjustment Coder II

Houston, TX ยท On-site

$27.69 - $34.61/hr

Ensure coding compliance by following the Official Coding Guidelines, HHS-RADV Protocols, and attending REGTAP calls. Stay current with coding standards, risk adjustment methodologies, and CMS ...

Senior Medical Coder

Baltimore, MD ยท On-site +1

$65K - $75K/yr

Provide Appeals support as RADV Subject Matter Expert at CMS request * Participate and contribute to QA Panel discussions for medical record review intake/coding and appeals, as needed. * Interact ...

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Radv information

What is the difference between Radv vs Radiologic Technologist?

AspectRadvRadiologic Technologist
CredentialsCertification in radiography, often specific to radiologyCertification in radiography or radiologic technology
Work EnvironmentHospitals, clinics, imaging centersHospitals, outpatient clinics, diagnostic labs
Employer & Industry UsagePrimarily in radiology departmentsBroader healthcare settings including radiology

Radv and Radiologic Technologist roles share similar credentials and work environments, often overlapping in hospitals and clinics. However, Radv may focus more specifically on radiology procedures, while Radiologic Technologists have a broader scope including various imaging techniques. Both are essential in diagnostic healthcare, with Radv often specializing in radiography.

What are the key skills and qualifications needed to thrive as a Radiologic Technologist, and why are they important?

To thrive as a Radiologic Technologist, you need a solid background in anatomy, patient care, and radiographic techniques, typically supported by an associate's degree in radiologic technology and ARRT certification. Familiarity with imaging equipment, PACS, and radiation safety protocols is essential. Attention to detail, strong communication, and compassion help provide quality patient experiences and ensure accurate imaging. These competencies are crucial for producing reliable diagnostic images, maintaining patient safety, and supporting effective healthcare delivery.

What are Radv?

Radv does not appear to be a recognized job title or profession. It is possible that 'Radv' is a typo, abbreviation, or a specific term used within a particular company or industry. If you have more context or details about the role or responsibilities associated with 'Radv', please provide them so I can assist you further.

What are some common challenges faced by Radiologic Technologists (Rad Techs) and how can they be managed on the job?

Radiologic Technologists often encounter challenges such as managing patient anxiety, adapting to rapidly changing technology, and maintaining high safety standards to minimize radiation exposure. Building strong communication skills can help ease patient concerns, while ongoing professional development ensures you stay current with advancements in imaging equipment. Additionally, collaborating closely with radiologists and other healthcare professionals is essential for accurate imaging and patient care. Emphasizing teamwork and continuous learning will help you navigate these challenges effectively.
More about Radv jobs
What cities are hiring for Radv jobs? Cities with the most Radv job openings:
What states have the most Radv jobs? States with the most job openings for Radv jobs include:
Infographic showing various Radv job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution.

Data Risk Analyst

Cliff Services Inc

Phoenix, AZ โ€ข On-site

Other

Posted 2 days ago


Job description

Data Risk Analyst

Location : Phoenix , AZ

Please find the JD Below

The Risk Adjustment Analyst serves as a data and strategic specialist who tracks health plan performance and financial risk By using advanced coding methodologies and data extraction tools they bridge the gap between clinical documentation and actuarial health forecasting Their overarching goal is to maintain absolute regulatory compliance while optimizing organizational revenue

Must Have

Data Analysis Modeling Gather clean and consolidate financial claims pharmacy enrollment and premium datasets into actionable models

Risk Score Calculation Analyze diagnostic patterns to calculate Risk Adjustment Factors RAF and forecast financial impacts using clinical metrics

Coding Quality Compliance Maintain deep familiarity with medical terminologies ICD10CM coding and Hierarchical Condition Categories HCC to isolate coding discrepancies or revenue gaps

Audit Support Provide backend reporting and data validation to assist with internal quality checks and federal Risk Adjustment Data Validation RADV audits

Crossfunctional Collaboration Partner with clinical providers to deliver Documentation Improvement CDI training ensuring that medical charts comprehensively capture a patients overall disease burden

Reporting Dashboards Design custom automated dashboards and adhoc financial plans to report risk trends directly to executive leadership

Skills Advanced proficiency in SQL for relational databases paired with statistical modeling in Python SAS or R

Nice to Have

Healthcare experience

Soft Skills

1 Strong communication and interpersonal skills

2 Good analytical and problemsolving skills

Skills

Mandatory Skills : Dimensional Data Modeling, MS SQL Server, Python for DATA, R - Data Science, SAS-Data Integrator
Good to Have Skills : Statistics-Data Science