2025 Call for Presentations Form

The deadline to submit presentations is July 31st.

Things to consider before submitting a proposal online:

• • Content must be unbiased and free of commercial influence.
  • References to products, inclusion of product names, screenshots of applications, and references that include specific vendor organization names are all considered elements of commercialism and are not permitted.
  • If the above exists in a proposal, the proposal should be balanced (i.e., three or more examples of the same type of commercial item are included).
  • If accepted, information submitted will be used in marketing materials and is subject to New Jersey & Delaware Valley HIMSS final approval/edits.
  • Provide complete, detailed answers to all text questions. Proposals are scored lower if there are few details.
  • Proposal information may be saved as a draft before it is actually submitted. The “Save” option is located on the bottom of each page of the proposal form. Submitters may then log back into the system to update/complete the proposal at a later time.

• Responsible Innovation in Healthcare
• As AI adoption accelerates, so too does the urgency to address ethical concerns, bias, data privacy, and regulatory frameworks. This subtopic calls for abstracts that explore how healthcare organizations and developers are building trustworthy, equitable, and transparent AI systems. Topics may include patient consent, algorithmic fairness, regulatory compliance (e.g., GDPR, FDA), and frameworks for responsible innovation that protect both clinicians and patients.
• Enabling the Digital Frontline: AI for Healthcare Workforce and Patient Engagement
• AI and digital tools are reshaping how healthcare providers interact with patients and how care teams collaborate. Submit abstracts on AI-driven or AI-managed solutions that enhance the experience and efficiency of healthcare professionals, as well as those that empower patients through digital engagement. Case studies, pilot programs, and research exploring tools like automating clinical documentation, patient communication that is personalized, virtual assistants are welcome.
• From Hype to Impact: Real-World Applications of AI in Clinical Settings
• As AI continues to make headlines, healthcare systems are increasingly moving from theoretical potential to practical implementation. This subtopic invites presentations that highlight successful, evidence-based AI applications across clinical workflows — from diagnostics and predictive analytics to workflow automation and decision support. Speakers are encouraged to share outcomes, challenges, and lessons learned in real-world deployments, bridging the gap between hype and healthcare impact. Enhancing patient safety through real-time surveillance and early warning systems. AI-enabled clinical decision support and risk prediction. Reducing documentation burden through natural language processing and automation
• AI Governance
• As AI becomes increasingly integrated into healthcare systems—supporting diagnostics, treatment recommendations, patient monitoring, and administrative workflows—governance plays a critical role in addressing issues such as data privacy, algorithmic bias, accountability, and transparency. It also ensures compliance with health regulations and fosters trust among patients, providers, and other stakeholders. Submissions may cover theoretical applied research, case studies and/or upcoming implementations that explore how governance can enable responsible and effective use of AI in healthcare settings and healthcare decisions.

Requirements:

• 1. The proposal must not promote an organization, product and/or service. Avoid endorsements: do not explicitly endorse any products, solutions or services in your presentation. Your role as speaker is to inform, not to sell.
  2. It is recommended that proposals submitted by consultants or market suppliers include a provider/user participant as the primary speaker. For continuing education purposes, any form of commercialism or vendor bias in the proposal will not be accepted.
  3. When submitting a proposal, please ensure you provide comprehensive details and substantiating evidence that supports your content. This will not only strengthen your proposal but also facilitate the review scoring process. Detailed proposals with clear evidence enable reviewers to fully understand the scope, feasibility, and impact of your submission.
  4. Complete all components of the proposal (i.e. measurable outcomes, etc.).
  5. Be succinct in your text answers and avoid redundancy. Convey the critical points under each content section.
  6. Check for spelling errors.
  7. Include any URL links to charts/graphs/figures. Include references to existing works to build a case/rationale and discuss the broader generalizability of a case study. May also contain hyperlinks to open-source tools/websites.
  8. Identify and cite all sources and/or include all necessary acknowledgements.
  9. Obtain written permission from copyright holder to reproduce/include previously published figures, tables or text excerpts and acknowledge the original source in the figure caption or as a footnote.
  10. All necessary approvals/clearances are obtained before submission.
  11. Proposal should not contain plagiarism, invasion of privacy, violation of proprietary right or copyright, libelous or injurious matter.

• HIMSS requires the use of Bloom’s Taxonomy. Click here to learn more about learning objectives.
• List 3 learning objectives, utilizing Bloom’s Taxonomy, to describe what attendees will gain by attending this session. At least three learning objectives are required.
• Each learning objective should be one-sentence, short and concise, without a period at the end of the sentence. All learning objectives need to start with active verbs and define an operational or behavioral objective. 50 words max for each learning objective, do not use periods.