ACENDIO conference Rome 2023
- 16-18 march 2023
- Rome, Italy
Nursing-generated data: predictive analytics and eHealth strategies
the board of ACENDIO thanks all speakers and participants for an interesting and inspiring conference. See you in Rotterdam in 2025?
Acendio conference
Rome, Italy
Keynote Speakers
Associate Professor Gianfranco Sanson
RN, MSN, PhD
Gianfranco Sanson is an Associate Professor of Nursing at the University of Trieste (Italy). He worked for most of career in clinical practice. He is working on the research topic regarding the use of standardized nursing languages as a measure of the nursing complexity and prognostic factor. His research fields also comprise multidimensional predictive models of hospital outcomes, safety and reliability of ultrasound-guided peripheral venous catheters, preterm newborn adaptive responses to daily nursing in neonatal ICU, and social sciences and humanities culture for care practices (health humanities).
Associate Professor Lisiane Pruinelli
RN, MS, PhD, FAMIA
Lisiane Pruinelli is an Associate Professor in the College of Nursing with a joint appointment with the College of Medicine, University of Florida, Gainesville, FL. At the UF, she is part of the UFHealth AI – a multi-college network of investigators harnessing AI to benefit science and health in exciting new ways. She has more than 10 years of clinical experience in both multi-transplant organ coordination and information systems development and implementation, and during the last 12 years have applied her clinical knowledge to research better models of care impacting patient outcomes. Her expertise is on applying innovative informatics tools and cutting-edge data science methods to investigate the trajectory of complex disease conditions suitable for clinical implementations. Her work aims to use data to identify the problems and targeted interventions for better patient outcomes. She is a Fellow of the American Medical Informatics Association, serves as a member of the JAMIA Editorial Board, and the co-founder of the NAILCollab, the Nursing and Artificial Intelligence Collaborative. She has more than 70 peer-reviewed manuscripts on the field of informatics, transplantation, and complex conditions, and has been speaking internationally on the use of data and artificial intelligence in nursing.
Professor Ulla-Mari Kinnunen
RN, PhD, FIAHSI
Ulla-Mari Kinnunen is a Professor of Health and Human Services Informatics at the University of Eastern Finland, and Adjunct Professor in Evidence Based Research and Development. Her research interest is in data structures and classifications in EHR, evidence-based health care and informatics competencies both for professionals and citizens including educational and organizational factors in enhancing digitalization in health and social care services. She is a board member of the Finnish Social and Health Informatics Association, of the scientific editorial board of the Finnish Journal of eHealth and eWelfare, a chair of the Finnish nursing terminology expert group and a member of the Evidence Based Practice Working Group IMIA SIGNI. She is a core staff member of the Finnish Centre for Evidence-Based Health Care: A Joanna Briggs Institute Centre of Excellence.
Conference topics:
From Predictive Analytics to Personalized Care: The Power of Nursing Data
The keynote by Prof. Lisiane Pruinelli provided insights on predictive analytics in the EHR. Predictive analytics have the potential to drive personalized (patient-centered) care. Nursing-generated data along with other data fields that represent the whole person are critical to improve patient outcomes. Nursing, as a profession, has the power to lead innovative ways of using data that represent the whole person for predictive analytics toward better health outcomes. This talk covered the successes, promises and challenges to empower nurses to be at the center of teams to drive clinical decision-making informed by data.
Toward a Solid Foundation for Nurse Relevant AI and Machine Learning
An inspiring panel session led by experts on artificial intelligence (AI) and machine learning (ML) models.
Present current state of nurse relevant ML and AI in Europe and the US were presented and discussed with ACENDIO members.
Best practices for building a solid nurse relevant ML foundation were proposed with the goal of nurses delivering value at the bedside.
ACENDIO Research Grant 2023
The winners of the ACENDIO grant 2023 were announced at the conference.
Nurses’ eHealth competencies - strategy and current competency level
The keynote by Prof. Ulla-Mari Kinnunen was on nurses' eHealth competencies and strategies.
The content of the Digital Social and Health Services Strategy of the
Finnish Nurses Association's was disclosed.
Furthermore, the level of the
eHealth competencies based on a previous national survey to nurses was presented.
Babel nursing languages? How to harmonize this?
Different SNLs exist in nursing. Are they a richness or a limit to SNL implementation? So many different standards are really a standard to follow? A round table with leaders on the different SNLs discussed pros and cons of this topic and how to harmonize this critical issue.
ACENDIO working groups
In 2019 ACENDIO started two working groups based on ACENDIO's Constitution and Position Statements. The working groups presented their work and involved ACENDIO members in the last ACENDIO workshop. Join us in the working groups on the development of practical implementation guides on implementing SNLs in education or practice.
eHealth, Terminologies and Artificial Intelligence
There were the following oral presentations:
1) The impact and evidence of digital transformation and health terminology: policy analysis in a European perspective;
2) Community healthcare and electronic nursing documentation;
3) Voice analysis in chronic diseases through artificial intelligence.
Who cares about nursing care? Nursing data as a guide for clinical care and healthcare policies
The keynote of Prof. Gianfranco Sanson inspired on how nursing-generated data can guide clinical care and healthcare policies.
Data generated by healthcare organizations can improve the quality of healthcare delivery and reduce the associated costs. As part of such health
records, nursing information systems aim to improve data collection and storage methods to enhance the efficiency of decision-making processes. Nursing diagnosis identified by standardized terminologies has great potential to measure the degree of nursing complexity and to be associated with key patient's outcomes.
Oral/poster presentations
ACENDIO members presented their research/projects with oral or poster presentations.
General Assembly and Election of Board Positions
All members were welcomed to the General Assembly. The board reports were presented and new board members were elected.
