Jennifer Paraschak, RN, BSN, CRC

Senior Director, Clinical Quality Operations

Jennifer Paraschack headshot - woman with dark hair smiling for photo with Inovalon spiral in background

Jennifer Paraschak, RN, BSN, CRC, helps lead the development and continuous improvement of clinical abstraction tools that support accurate, high-quality medical record review and risk adjustment. With nearly 30 years of healthcare experience, she partners with cross-functional teams to strengthen clinical quality, ensure data integrity, and support consistent outcomes across internal teams and vendor partners.

Before joining Inovalon 19 years ago, Ms. Paraschak built a diverse clinical background in critical care, post-anesthesia care, school health, and electronic health record integration. She is a Certified Risk Adjustment Coder (CRC) and earned a Bachelor of Science degree in Nursing.

Clinical Collaboration Council

Areas of Expertise

  • Nursing with concentration in critical care
  • Post anesthesia care unit
  • School health

Current Focus at Inovalon

The development, validation, and continuous improvement of medical record abstraction tools in cross-functional partnership with technical teams.

Speaking Topics

  • Medical record abstraction and clinical documentation
  • Risk adjustment coding and clinical validation
  • Clinical quality and data integrity
  • Cross-functional collaboration in healthcare technology
  • Clinical abstraction tool development and optimization
  • Medical record review best practices
Authored Content

INOvators logo with Kate Eshelman headshot and title
Payer

What’s Next for Risk Adjustment? The 2026 Landscape

In this INOvators episode, Kate Eshelman shares how risk adjustment processes may shift this year & what health plans need to do to prepare.

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A young man wearing glasses and a blue shirt sits at a desk in an office, reviewing RADV Audits papers in his hand while working on a computer. The background is bright with large windows.
Payer

RADV Audits: Taking a Proactive Approach in the Face of New Regulations

It’s no longer a question of if, but when. In May 2025, the Centers for Medicare & Medicaid Services (CMS) announced a more aggressive strategy for conducting Medicare Advantage Risk Adjustment Data Validation (RADV) audits.

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Woman in an office using a computer.
Payer

Medicaid Budget Cuts Test Risk Adjustment Program Readiness

In value-based care, shared goals between health plans and providers are only possible when both parties are working from the same playbook. But in reality, providers are often left to guess at the full picture. Many don’t have access to their patient’s complete medical history, especially those not using large EHR systems. That lack of visibility can mean missed care gaps, delayed diagnoses, and extra administrative burden for both the provider and the health plan. 

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Podcast promotional image featuring a headshot of Kathryn Eshelman, M.D., with text: Modernizing Medical Record Reviews in 2025 with the Help of AI and Healthcare Data Security. Inovalon logo and microphone icon are shown.
Payer

Modernizing Medical Record Reviews in 2025 with the Help of AI

Explore the transformative effects of AI in MRR, and what this may mean for health plan reporting and member care in 2025.

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Promotional image for a podcast titled “AI in Healthcare: The Value of Innovative Technology, Paired with Clinical Expertise,” featuring Kathryn Eshelman, M.D., M.P.H., VP of Medical Informatics, with her photo on the right.
Payer

AI and Clinical Expertise in Healthcare: A Combined Approach

Hear from Dr. Kathryn Eshelman on why AI and clinical expertise in healthcare must work together, not in place of each other.

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Healthcare professional looking at compliance data
Payer

Proactive CMS RADV Compliance: Identify Potentially Over-Coded Conditions Early On

Every year, the Centers for Medicare and Medicaid Services (CMS) conducts Medicare Advantage Risk Adjustment Data Validation (RADV) audits on Medicare Advantage (MA) plans to validate the accuracy and completeness of their data used in risk adjustment.

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