Healthcare AI Keynote Speaker: What Hospital Leaders Need to Hear in 2026

A healthcare AI keynote should help the audience examine a decision. For hospital leaders, that may involve an AI purchase, a governance responsibility or the next stage of a pilot.

Ask the speaker to explain how the session will address your audience’s responsibilities and which evidence will support the discussion.

For a healthcare conference, leadership retreat or board education day, use the following themes and planning questions to prepare the session.

Five messages hospital leaders need in 2026

One: the buying already happened, the governing did not

Adoption is no longer the story. Among US hospitals running Epic, 62.6 percent had adopted ambient AI documentation tools as of June 2025 (Yang F, Graetz I, American Journal of Managed Care, 2026).

Oversight is a different picture. In a Black Book Research survey of 182 hospital leaders in late 2025, only 29 percent had implemented and enforced policies covering AI model inventory, lineage, and sign-offs, and only 22 percent were highly confident they could produce a full AI audit trail within 30 days (Black Book Research release).

These studies measure different things in different samples. They can inform separate discussions about adoption and governance, but their percentages do not show how many hospitals adopted AI without adequate oversight.

Two: the vendor's accuracy number is not their accuracy number

The Epic Sepsis Model reached hundreds of US hospitals before independent evaluation. Researchers at Michigan Medicine studied it across 38,455 hospitalizations and found a hospitalization-level area under the curve of 0.63, with 67 percent of sepsis cases missed and 18 percent of hospitalizations hypothetically flagged. The analysis was retrospective, used a score threshold of at least 6 for these misses and hypothetical flags, and excluded hospitalizations eligible for actual alerts. According to PubMed, that is Wong A, Otles E, Donnelly JP, et al., JAMA Internal Medicine, 2021 (DOI).

Use this study to discuss local validation, alert thresholds and the difference between retrospective evaluation and prospective use.

Three: the regulator now has a calendar

On June 1, 2026, The Joint Commission launched a voluntary Responsible Use of AI in Healthcare certification built on five domains: governance, data management, risk and bias reduction, monitoring and validation, and transparency with education and training (Joint Commission announcement). State-law requirements are separate and vary by jurisdiction. Georgia's SB 444, effective January 1, 2027, requires a qualifying natural person to conduct utilization review with a clinical peer participating before AI or software issues an adverse determination; the software cannot supersede that peer's judgment.

Ask which requirements apply to your organization and distinguish voluntary certification from legal obligations. Confirm current requirements with the appropriate internal advisers.

Four: the real case is capacity, not accuracy

In March 2024, the AAMC projected a national shortage of up to 86,000 physicians by 2036 (AAMC March 21, 2024 report announcement). That projection alone does not establish which staffing options will work for a particular health system.

A workforce discussion should examine the task, staffing context and evidence needed to assess whether a proposed tool improves capacity.

Five: judgment is the job that does not get automated

Clinical decisions often involve incomplete information, uncertainty and competing needs. A session on AI should make the limits of automation and the role of human judgment explicit.

Ask the speaker to distinguish which tasks a tool can support, where human review remains necessary and how users can challenge an output.

What makes a healthcare AI keynote land

Consider these three elements when reviewing a proposed session.

Relevant experience for the session. For a clinical audience, ask how the speaker’s experience relates to the setting and decisions being discussed. Use public or deidentified examples, with permission where required.

Sources the audience can review. Ask for study names, publication dates and links. For regulation or policy, distinguish the publication date from the effective date and confirm which jurisdiction applies.

A practical next step. Agree on a realistic session output, such as questions for a vendor meeting or a framework to discuss with the appropriate internal committee.

Signature talks

The current Harvey Castro speaking page lists three signature sessions. Use the audience and discussion goals below to start a planning conversation.

Accountable Intelligence: Who decides, and who answers. For boards and executive teams. Examine who retains decision authority, who reviews AI recommendations and who is responsible for oversight.

AI That Survives the Workflow: From demo to durable adoption. For leaders evaluating AI pilots. Discuss how workflow, trust, safety, governance, incentives and measurement inform a decision to expand, revise or stop a proposed use.

SAFE AI: A physician-led framework. For clinicians and medical conferences. Discuss risk, clinician involvement, monitoring and human oversight, drawing on the SAFE AI TEDxBabsonCollege talk.

Confirm the session scope, format, language and availability during planning. These are educational discussion goals, not promised organizational or clinical results.

Prepare a board or executive session

Start with the decision the audience needs to examine. A board education session might clarify oversight responsibilities; an executive retreat might examine whether an AI pilot is ready for wider use. Put that decision in the event brief so the speaker can prepare relevant questions.

1. Define the audience. Note which board members, clinical leaders, technology teams and operational owners will attend. Identify differences in their familiarity with AI.
2. Choose one planning case. Describe a proposed use, its intended users and the workflow it would affect. Use a public or deidentified example. Keep patient information and confidential vendor terms out of the inquiry.
3. Set the discussion output. Decide whether the session should produce a list of evidence questions, an oversight responsibility map or a set of next review steps. Agree on what is practical within the available time.
4. Plan participation. Allow time for questions and name a moderator. Confirm whether the event needs a keynote, a facilitated discussion or a workshop before fixing the agenda.
5. Assign follow through. Name the internal owner who will take questions from the session to the appropriate committee. A speaker session does not replace the organization's own review and approval process.

Use the existing AI proposal decision worksheet to prepare the discussion. For a broader shortlist, see how to choose a healthcare AI speaker. Include your audience, event date and intended discussion output when you start a planning conversation.

Audience fit

Health system leadership retreats and board education sessions. Hospital association and society annual meetings. Health IT and digital health conferences. Physician group and specialty society meetings. Payer and life sciences leadership events. Government and ministry-level health policy convenings.

Sessions are available in English and Spanish. Confirm your preferred presentation language during planning.

Formats

Discuss a keynote, workshop, fireside chat, panel or virtual session. Confirm duration, audience participation and preparation needs before fixing the agenda.

Why a physician for this topic

Harvey Castro, MD, MBA is an emergency physician, healthcare AI speaker and founder of Signal & Stage. Explore his published books and current speaker biography when planning your event.

Match the speaker’s relevant experience to the questions your audience needs to examine. Clinical, technical, governance and organizational perspectives may require more than one voice.

Six questions to ask any healthcare AI speaker

Use these questions to assess fit before confirming a speaker.

1. Do you currently practice, or have you practiced clinically? Ask when they last saw a patient.
2. What sources will appear on your slides? Ask for examples of the evidence that will support the session.
3. How will you customize this for our audience? Listen for questions back about your attendee mix.
4. What will attendees be able to examine or do afterward? Ask for realistic session takeaways and a proposed next step.
5. Have you spoken to a board, and how did you adapt the session? Ask how the discussion will address oversight and organizational responsibilities.
6. What do you say when someone asks whether AI will replace clinicians? The answer reveals whether the speaker understands the room.

Use the answers alongside the speaker’s approved profile, speaking sample and a discussion of your event needs.

How to book

Share the event date, audience and intended discussion output. Confirm fit, scope and availability before booking.

Book Harvey Castro, MD, DR GPT™ for your board, leadership retreat, or healthcare AI event.

www.HarveyCastroMD.com | /HarveyCastroMD | #DRGPT

Related DR GPT™ reading

• AI Governance in Healthcare: A Physician's Framework for Boards and Executives
• What Every Hospital CEO Should Know Before Buying AI

More from DR GPT™: who DR GPT™ is, healthcare AI keynotes, speaking, TEDx talks, books, and the media kit.

Book Harvey Castro, MD, MBA, known as DR GPT™, for your board, leadership retreat, or healthcare AI event. Start the conversation.

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