AINurse22: 1st Workshop on Artificial Intelligence in Nursing: Advances, Methods and Path Forward Dalhousie University Halifax, Canada, June 14-18, 2022 |
Conference website | https://sites.google.com/umn.edu/nursingaiaime2022 |
Submission link | https://easychair.org/conferences/?conf=ainurse22 |
Submission deadline | April 8, 2022 |
Artificial intelligence (AI) is poised to revolutionize healthcare via data driven solutions to improve patient outcomes. Nurses, the largest sector of healthcare providers internationally, are rapidly adopting AI technologies in their everyday work. Existing nursing AI technologies help nurses to identify patients at risk, assist in prioritizing nursing care, and improve nursing workflows. On the other hand, AI has the potential to introduce unintended consequences, including racial or other biases or erroneous care recommendations. AI technologies are being increasingly applied on data generated by nurses and nurses are becoming one of the largest sectors to use AI in healthcare. This generates an increasing interest in safe, ethical and clinically appropriate use of cutting edge AI technologies in nursing.
This workshop, organized by the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, will focus on AI in nursing and provide a platform for discussions about the recent advances, cutting edge AI methods, and chart a path forward for nursing AI. These goals will be achieved through a combination of presentation types, including paper presentations, invited talks, panels, demos, and general discussion. Intended workshop participants are individuals involved in developing and applying AI for nursing, including those with clinical (e.g., nursing, medicine), technical (e.g., machine learning, computer/data science) and human factors (e.g., visualization and UI/UX) backgrounds. AIME participants who are focusing on using AI technologies based on nursing data or intended to be used by nurses will benefit from this workshop by learning about current AI applications and cutting-edge methods. The workshop will also chart AI research areas that require further development to advance patient outcomes.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers (up to 10 pages, including references)
- Extended Abstract (3 pages) or Demonstration paper (1 page) describingf either:
- a short research project
- a demonstrated of implemented systems
- late-breaking results (work-in-progress)
- Panel proposal (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 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.
List of Topics
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Clinical decision support: development and implementation of nursing clinical decision support systems in clinical practice;
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Standardized health terminologies: development, refinement and application of standardized health terminologies to capture nursing data and build nursing AI systems;
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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;
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Natural language processing: development and implementation of nursing narrative data- driven natural language processing algorithms;
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Implementation science: development and implementation of nurse-centered AI technologies with special attention to human factors, UI/UX design and workflow integration;
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Algorithm biases: detection and elimination of algorithmic biases to improve health equity, including racial and other biases.
Important Dates
Submission opens: March 3rd, 2022
Paper submission deadline: April 8th, 2022
Notification of acceptance: April 18th, 2022
Camera-ready submission deadline: May 2nd, 2022
Program and Organizing Committee
- Maxim Topaz, PhD, RN, MA - Columbia University, USA
- Charlene Ronquillo, PhD, RN, MSN - University of British Columbia Okanagan, Canada
- Laura-Maria Peltonen, PhD, MNSc, RN - University of Turku, Finland
- Lisiane Pruinelli, PhD, MS, RN, FAMIA - University of Minnesota, USA
- Martin Michalowski, PhD, MS, BSc, FAMIA - University of Minnesota, USA
Invited Speakers
- Opening keynote: Michelle Acorn, DNP, NP PHC/Adult, MN/ACNP, FCAN, CGNC, Chief Nurse, Nursing and Programmes, International Council of Nurses
Venue
The conference will be held in co-location with the 20th International Conference on Artificial Intelligence in Medicine (AIME 2022) hosted by Dalhousie University in Halifax, Nova Scotia, Canada.
Contact
All questions about submissions should be emailed to ainurse22[at]easychair[dot]org.