Akido

Akido

EHR Training & Support Specialist

Cranston, Rhode Island

Sponsorship not specified$80k-$90kDetected 23 days ago
ComplianceHIPAAEpicCernerEHR/EMRLeadershipCommunicationCollaborationProblem Solving

About the role

  • This is a critical role as RI Primary Care Medical Group continues to grow through acquisition.

Responsibilities

  • Design and implement updated workflows that integrate across departments, systems, and third-party partners with minimal disruption
  • Develop workflow documentation, process maps, and transition guides
  • Facilitate communication across practices, internal departments, and external partners to ensure alignment
  • Develop training programs that connect system use to broader operational and clinical context
  • Provide at-the-elbow (ATE) support during go-lives, upgrades, and workflow transitions
  • Create and maintain training materials, quick reference guides, tip sheets, and SOPs
  • Support adoption of emerging tools, including AI-assisted applications

Requirements

  • Experience assessing and redesigning clinical or administrative workflows
  • Ability to learn and train on new systems quickly
  • Experience with a major EHR platform (Epic, Cerner, athenahealth, eClinicalWorks, or similar)
  • Familiarity with primary care operations and multi-site environments
  • Assess end-user proficiency and provide follow-up training as needed

Nice to have

  • Clinical background (MA, LPN, RN, or similar) strongly preferred

Compensation

  • $80,000 - $90,000 USD
  • Regular travel to practice sites across Rhode Island is required.
  • A combination of remote, on-site, and office-based work applies depending on project needs.

Benefits

  • Healthcare Workflow Integration & Change Management

Equal opportunity

  • Akido Labs, Inc. is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.

This listing is sourced directly from Akido's careers page and normalized into a canonical job model.