Epic Cadence Analyst (Decision Tree) - Remote

Job Description

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Grow your career at Cedars-Sinai!

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The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems implementation is fueled through the alignment of the right people, processes, and technologies. Cedars-Sinai has once again solidified its position as a global healthcare technology leader, receiving top accolades in not one but two prestigious surveys.

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Why work here?

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Cedars-Sinai placed in the top 20 on Newsweek’s “ World's Best Smart Hospitals 2024 ” list, which highlights hospitals that have excelled in the utilization of electronic functionalities, telemedicine, digital imaging, artificial intelligence and robotics.

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The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “ CHIME Digital Health Most Wired “ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in the areas of infrastructure, interoperability, and population health innovation.

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What you will be doing:

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The Epic Cadence (Decision Tree) Analyst provides an intermediate level of operational and application build in completing routine and occasionally more sophisticated assignments to meet customer goals and desired outcomes. Task and assignment focus are typically on medium to large projects, performing workflow analysis, build, and documentation in collaboration with internal and external team members.

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  Based on core knowledge of application and operational requirements can translate requirement/concepts into functionality.

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  Assigned to various work/projects and demonstrates an ability to successfully complete assigned tasks/assignments, proactively connect with manager to prioritize workflow and mitigate risks, track issues, provide solution-oriented escalation, and understand fundamental project management methodologies.

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  Participates in re-engineering of operational work-flow processes with end-users/business owners and maintains fundamental understanding of assigned departmental operations.

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  Facilitates end-user/business owner needs into system specifications and configuration requirements.

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  Handles navigation of migration paths, change control process/governance, and ticket management processes.

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  Maintains high standards for quality application design, build, testing, and other tasks; ensures adequate documentation is provided for support and end-user training.

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Prefer someone living locally or willing to relocate to LA area, but Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas

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Qualifications

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Experience Requirements:

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Two (2) plus years of Epic Cadence design, build, implementation experience.

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One (1) plus years of Decision Tree design and build experience required.

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Provider Template Optimization, Visit type consolidation, Department and Provider build experience preferred.

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Project management experience. Ability to handle multiple priorities simultaneously.

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Educational/Certification Requirements:

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High School Diploma/GED.

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Bachelor's degree in Computer Science, Information Technology, Healthcare, or related field. (preferred)

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Epic Cadence Certification required. Decision Tree Badge preferred.

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#LI-Remote

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Req ID : 11436

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Working Title : Epic Cadence Analyst (Decision Tree) - Remote

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Department : CSMC 8480012 CS Link Access Team

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Business Entity : Cedars-Sinai Medical Center

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Job Category : Information Technology

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Job Specialty : Business Sys & System Analysis

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Overtime Status : EXEMPT

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Primary Shift : Day

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Shift Duration : 8 hour

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Base Pay : $96,324.80 - $154,128

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Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.