Is this training suitable for nurses and care managers?
Yes, clinical staff including nurses and care managers are part of the intended audience. Examples focus on support tasks and human review, not replacing clinical responsibilities.
Audience training
AI Training for Healthcare Teams: Responsible AI for Clinical and Operations Staff
AI training for healthcare teams is practical education for clinical and operations staff, led by Augusta Uwah, MD, MPH, in Indianapolis and central Indiana or virtually nationwide.
Who this is for
This training is for nurses, medical assistants, care managers, social workers, practice managers, revenue cycle teams, administrative staff and healthcare leaders. Different roles encounter different information and responsibilities. A shared discussion helps a team identify boundaries without assuming that the same AI use is appropriate for every person.
Clinical and operations staff can examine the handoffs around documentation, patient communication and administrative work. A care manager may need a clearer educational draft, while an administrator may need to organize an internal agenda. Each task still needs an appropriate reviewer and permission to use the underlying information.
What participants learn
The focus is on useful support skills, not automatic patient care or a promise of operational results. Participants practice framing a task, reviewing a draft and identifying when the right next step is to ask a colleague rather than an AI tool. Six concrete skills provide a shared starting point.
- Organize documentation support using fictional examples, checking that the draft does not introduce clinical facts, diagnoses or decisions that were never supplied.
- Draft patient communications from approved general material, then ask the appropriate clinician to review language, accuracy and suitability before anything is shared.
- Summarize provided literature, guidelines or policy passages while preserving limitations and verifying the summary against the original source.
- Create administrative drafts such as meeting agendas, process outlines and internal communications without uploading confidential operational or personnel information.
- Look for bias, missing context and inaccurate claims in AI output, especially when a draft could affect access, understanding or treatment of a person.
- Protect patient information: never enter PHI into non-approved tools, follow HIPAA and organizational policies, and identify the responsible reviewer for each workflow.
Session formats
AI for Physicians is a 60 to 90 minute session covering clinical documentation, patient communication and diagnostic workflow support. For operations-oriented groups, AI as Your Personal Assistant offers a 45 to 60 minute hands-on session. AI Literacy for the Modern Workforce is a 90 minute or half-day workshop on practical tools, responsible use and workflow integration.
Discuss your mix of clinical and operations roles when requesting a session so the focus fits the work. Workshops are delivered in person across Indianapolis and central Indiana or virtually nationwide. Organizations can request a private session through the homepage form or discuss their needs on a 20-minute call.
Responsible AI: verify, protect and keep people involved
AI can produce confident answers that are inaccurate, incomplete or biased. A fluent draft is not evidence. Check factual claims against original sources, inspect assumptions and decide whether the output fits the people it will affect. Ask what is missing, whose perspective is absent and who should review the work before it is shared.
Never enter PHI or confidential information into non-approved tools. Follow your organization's policies and, in healthcare settings, HIPAA requirements. A paid account or privacy setting alone does not establish approval for patient data. Use fictional examples during practice and ask your organization's appropriate teams which tools and uses are permitted.
Sessions are educational and are not medical, legal or compliance advice. Participants should follow their organization's policies. Keep a human responsible for the final work, and do not use AI-generated text as a substitute for professional judgment, qualified advice or an established review process.
Why physician-led: meet Augusta
Augusta Uwah, MD, MPH is a board-certified internist and Physician Advisor, a practicing hospital medicine physician in Indianapolis, and a CPPD-accredited AI consultant. She is Founder & CEO of Clinefficiency Pro LLC, a physician-led healthcare AI company based in Carmel, Indiana.
Certified in Physical AI, Agentic AI, and AI Evaluation in Healthcare, Harvard Data Science Initiative. Augusta is a 2026 Women To Watch Honoree, Black Leaders Worldwide. Her clinical perspective keeps the discussion focused on real work, responsible use and the judgment people bring to every task.
Frequently asked questions
Can revenue cycle and administrative staff attend?
Yes, operations and administrative staff can participate. Drafting, summarization and organizing work can be discussed without sharing patient or confidential financial data.
Will the session address patient privacy?
Yes, patient privacy is a core boundary. Never enter PHI into non-approved tools, and follow HIPAA and organizational policies; the session is not compliance advice.
Is this appropriate for healthcare leaders?
Yes, leaders can use the session to discuss responsible use and review expectations with their teams. It does not replace formal organizational governance or qualified advice.
Can you train a whole department?
Yes, request a private session for your department through the homepage form. Include team roles, audience size, preferred workshop and format.
Are sessions available in person and online?
Yes, in-person sessions are available across Indianapolis and central Indiana, with virtual delivery nationwide. Discuss your preferred format when requesting training.
Do participants need AI experience?
No, beginners and mixed-experience teams are welcome. The focus is practical AI literacy and checking outputs, not programming.