Topics of Interest

• Clinical decision support: development and implementation of nursing clinical decision support systems in clinical practice;

• Standardized health terminologies: development, refinement and application of standardized health terminologies to capture nursing data and build nursing AI systems;

• Machine learning/Data mining/Deep learning: Development and implementation of machine learning/Data mining/Deep learning algorithms focused on improving patient outcomes and decreasing patient risk;

• Natural language processing: development and implementation of nursing narrative data- driven natural language processing algorithms;

• Implementation science: development and implementation of nurse-centered AI technologies with special attention to human factors, UI/UX design and workflow integration;

• Algorithm biases: detection and elimination of algorithmic biases to improve health equity, including racial and other biases.

Submissions

Papers should be submitted to the workshop Easychair page. The workshop features regular papers in three categories (please note if your submission has a student as the first author by selecting the "Student-led paper" topic during submission):

1. Full research paper (up to 10 pages, including references)

2. Short research paper (up to 5 pages, including references)

3. Extended Abstract (up to 3 pages) or Demonstration paper (1 page) describing either:

   • • a research project,

     • a demonstration of implemented systems, or

     • late-breaking results (work-in-progress).

We are also accepting the following two proposals. Please email a PDF of these proposal types directly to Maxim Topaz:

1. Panel proposal (up to 2 pages) describing the proposed topic and including the invited moderator and panelists

2. Debate on topics related to AI and nursing (up to 2 pages) describing the proposed topic and including the invited moderator and panelists

Papers should be formatted according to Springer's LNCS format and one of the topics must be selected during submission (Full research paper, Short research paper, Extended Abstract paper). Authors can include an appendix that does not count towards the page limit, however there is no guarantee that reviewers will read it. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer’s proceedings LaTeX templates are also available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. All accepted papers will appear in the workshop proceedings which will be published as part of Springer's Lecture Notes in AI series. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Important Dates

Submission opens: March 3rd, 2022

Paper submission deadline: April 8th, 2022 (via Easychair)

Notification of acceptance: April 18th, 2022

Camera-ready submission deadline: May 2nd, 2022

Student Presentation Award

During the workshop, student presenters will compete for the best Student Presentation Award. The awardee will be announced at the conclusion of the conference.

Additional workshop activities

• During the workshop, several interactive activities will take place. These activities will include small group work on issues related to AI in nursing in clinical practice, policy and research.

• In addition, the organizing committee is considering an "AI in Nursing" mutual art creation activity (including creating an NFT). More details to follow!