Healthcare AI Implementation Consultant
Position Overview
We are seeking an experienced Healthcare AI Implementation Consultant to bridge the gap between cutting-edge artificial intelligence technology and clinical healthcare environments. This role requires a unique combination of technical AI expertise and deep understanding of hospital operations, EHR systems, and clinical workflows. You will lead AI deployment projects from assessment through go-live, ensuring successful adoption that improves patient outcomes and operational efficiency.
Location : Remote / Hybrid (willing to travel 30-40%)
Salary Range : $120,000 – $160,000 + Performance Bonus
Employment Type : Full-Time
Key Responsibilities
Strategic Planning & Assessment
- Conduct comprehensive AI readiness assessments for hospital clients, evaluating technical infrastructure, workflow integration points, and organizational change management needs
- Design end-to-end AI implementation roadmaps aligned with hospital strategic objectives and regulatory requirements
- Identify high-value use cases for AI deployment including ambient clinical documentation, predictive analytics, revenue cycle optimization, and clinical decision support
Implementation & Integration
Lead cross-functional teams in deploying AI solutions within Epic, Cerner, Meditech, and other major EHR platformsConfigure and customize AI applications to align with specific hospital workflows and clinical protocolsManage vendor relationships with AI solution providers (Nuance DAX, Google Health, AWS HealthLake, etc.)Oversee data integration, API connections, and interoperability requirements for AI systemsChange Management & Training
Develop and deliver training programs for clinical staff, IT teams, and hospital leadership on AI tools and best practicesCreate user adoption strategies that address resistance and promote engagement with new AI systemsDesign feedback loops to continuously improve AI performance based on end-user inputCompliance & Quality Assurance
Ensure all AI implementations comply with HIPAA, state privacy laws, and healthcare regulatory requirementsEstablish AI governance frameworks including bias monitoring, model validation, and ethical use guidelinesDocument implementation processes and create standard operating procedures for ongoing AI operationsPerformance Optimization
Monitor AI system performance using key metrics (accuracy, adoption rates, ROI, efficiency gains)Conduct post-implementation reviews and identify opportunities for expansion or optimizationProvide ongoing consultative support to maximize value realization from AI investmentsRequired Qualifications
Education & Certification
Bachelor’s degree in Healthcare Informatics, Computer Science, Information Systems, or related fieldMaster’s degree preferred (Healthcare Administration, Health IT, Data Science)Epic, Cerner, or Meditech certification highly desirableProject Management Professional (PMP) or Certified Healthcare CIO (CHCIO) a plusExperience
5+ years of experience in healthcare IT consulting or hospital system implementation2+ years working directly with AI / ML technologies in healthcare settingsProven track record implementing complex healthcare technology projects on time and within budgetExperience with EHR optimization, clinical workflow design, or healthcare data integrationTechnical Skills
Deep understanding of healthcare AI applications (NLP for clinical documentation, predictive modeling, computer vision for imaging)Proficiency with healthcare data standards (HL7, FHIR, DICOM)Familiarity with cloud platforms (AWS, Azure, Google Cloud) and healthcare-specific servicesKnowledge of healthcare analytics tools and data visualization platforms (Tableau, Power BI)Experience with AI / ML concepts including model training, validation, and monitoringHealthcare Domain Expertise
Strong knowledge of clinical workflows in hospital settings (inpatient, outpatient, ED, specialty care)Understanding of revenue cycle management, coding, and reimbursement processesFamiliarity with quality metrics, patient safety protocols, and clinical decision support systemsKnowledge of healthcare regulations including HIPAA, HITECH, 21st Century Cures ActPreferred Qualifications
Clinical background (RN, MD, PA, NP) or certified clinical informaticistExperience implementing ambient AI documentation tools (Nuance DAX, Abridge, Suki)Consulting experience with Big 4 firms or healthcare-focused consultanciesPublished articles or presentations on healthcare AI implementationMultilingual capabilities for diverse healthcare settingsCore Competencies
Stakeholder Management : Ability to influence C-suite executives, physicians, nurses, and IT leadersProblem-Solving : Creative solutions to complex technical and organizational challengesCommunication : Translate technical AI concepts into clear business value propositionsAdaptability : Thrive in fast-paced, ambiguous environments with emerging technologiesEmotional Intelligence : Navigate change resistance with empathy and strategic influence#J-18808-Ljbffr