Dual (dotted) report to product and engineering
Designs, configures, implements, and supports the Electronic Health Record (EHR) and the AI Assistant, including internal and external models (Claude)
Acts as prompt engineer proxy for the ongoing optimization of AI assistant
Accountable for clinical outcomes reports design with Quality & Safety & Clinical Outcomes Director
Midi Rx clinical configuration (athena setup) & clinical flows (training, FAQs, documentation)
Customizes, evaluates, and documents workflows to align with clinical needs.
Manages Athena account creation and onboarding for new users.
Configures clinical inboxes, task assignments, and overrides in Athena.
Ensures hygiene of intake forms and updates based on organizational needs.
Participates in product and engineering sprints and project and product rollouts
AI Model Training and Updates: Regularly optimize and train the AI Assistant (e.g., Claude) for better alignment with clinical operations and user feedback.
Cross-Functional Collaboration: Act as the bridge between product, engineering, and clinical teams to ensure seamless integration of AI and EHR solutions.
Data Hygiene and Analysis: Maintain integrity of intake forms, user-generated data, and system logs; use data insights to recommend workflow and process improvements.

Education:

Required: Bachelor’s degree in Computer Science, Health Informatics, or a related field.
Preferred: Advanced degree (e.g., MD with engineering background or Engineering with a focus on Healthtech).
Certifications preferred: Athena EHR Certification or equivalent credentials in health informatics or AI technology.

Qualifications:

Experience: 3-5 years of experience in EHR configuration, preferably Athena Health, with exposure to AI integration in healthcare systems.
Technical Expertise: Proficiency in AI model optimization, prompt engineering, and EHR system setup, including clinical workflows and configurations.
Analytical Skills: Strong ability to evaluate and document workflows to meet clinical and operational needs.
Collaboration: Demonstrated experience in dual reporting roles, working with product and engineering teams to align technical solutions with organizational goals.
Regulatory Knowledge: Familiarity with healthcare regulations and compliance standards related to data privacy and security.
Communication: Exceptional skills in training, documentation, and cross-functional communication.