
201 - 500 employees
🏥 Healthcare
☁️ SaaS
⚕️ Healthcare Insurance
💰 $100M Series C - Vytalize Health on 2023-02
Healthcare • SaaS • Healthcare Insurance
Vytalize Health is a healthcare technology and services company that helps primary care practices and Accountable Care Organizations (ACOs) transition to value-based care. It combines data-driven analytics, virtual and in-home clinical support, and care management services to improve patient outcomes, enable Medicare-approved remote services for chronic conditions, and help practices earn shared savings under value-based contracts. Vytalize partners with independent PCPs, group practices, community health centers and existing ACOs to deliver clinical enablement, practice-tailored workflows, and performance insights.
🕒 July 21
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👔 Manager
🦅 H1B Visa Sponsor
👻 Ghost score 31%
Where this job comes from
Posted on Vytalize Health's careers page, not through a job board
First seen by Remote Rocketship July 21
Still open on Vytalize Health's site. Checked 8 hours ago.

201 - 500 employees
🏥 Healthcare
☁️ SaaS
⚕️ Healthcare Insurance
💰 $100M Series C - Vytalize Health on 2023-02
Healthcare • SaaS • Healthcare Insurance
Vytalize Health is a healthcare technology and services company that helps primary care practices and Accountable Care Organizations (ACOs) transition to value-based care. It combines data-driven analytics, virtual and in-home clinical support, and care management services to improve patient outcomes, enable Medicare-approved remote services for chronic conditions, and help practices earn shared savings under value-based contracts. Vytalize partners with independent PCPs, group practices, community health centers and existing ACOs to deliver clinical enablement, practice-tailored workflows, and performance insights.
• Manage a team of Clinical Applications Specialists, providing day-to-day direction, mentorship, and escalation support • Serve as a subject matter expert for EHR systems and clinical applications, owning issue resolution end-to-end • Manage clinical data integration activities, including data feed operations, vendor coordination, and integration deployments • Ensure data flowing from partner EHRs into downstream infrastructure is complete and accurate • Identify and remediate data gaps with internal engineering, EHR vendors, and partner practices • Support QRDA I file acquisition and submission, including extraction coordination, file validation, and error follow-up • Support EHR workflow guidance and optimization at partner practices, driving discrete data capture at the point of care • Collaborate with Practice Transformation Managers, Operations, and internal technology teams on EHR optimization and clinical application implementation
• Bachelor's degree in Information Systems, Healthcare Administration, Business, or related field • 4–5 years of experience in healthcare data integration, EHR operations, or clinical application management • Hands-on experience with EHR integrations, including setting up integrations, troubleshooting data quality issues, and coordinating with vendors on resolution • Experience working directly with provider practices, clinical staff, or Practice Transformation teams • Experience with EHR platforms including Epic, Athenahealth, eClinicalWorks, Oracle (Cerner), Practice Fusion, or similar systems • Familiarity with ACO programs including MSSP, ACO REACH, or Medicare Advantage • Familiarity with HL7, FHIR, CCD-A, QRDA I, and flat file clinical data standards • Prior team lead or mentorship experience • Strong project management and cross-functional coordination skills • Excellent organizational and communication skills with an emphasis on problem-solving and accountability • Preferred: experience with cloud-based data environments (Databricks, Azure, or equivalent) • Preferred: familiarity with the clinical data model or similar standardized clinical data frameworks • Preferred: SQL proficiency sufficient to query and validate data and identify field-level gaps • Preferred: knowledge of clinical workflow analysis techniques and structured data capture strategies
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