Artificial Intelligence (AI) and Emerging Technologies Toolkit for Healthcare Organizations

Introduction

The HIMSS Nursing Innovation Advisory Workgroup has been developing a comprehensive AI & Emerging Technologies Toolkit to aid healthcare organizations in their technology selection and implementation processes. This toolkit includes an AI Instructional Slide Deck, a technology Heat Map, and Definitions of Emerging Technologies. Each one of these tools has a unique practical application by healthcare leaders. Leveraging these resources, healthcare organizations can make informed decisions and successfully implement new technologies to enhance patient care and operational efficiency.

The AI & Emerging Technologies Toolkit serves as a structured guide for healthcare organizations to navigate the complexities of adopting AI technologies. It provides a framework for understanding AI's role in healthcare, outlining best practices and strategies for successful implementation. The toolkit includes a graphic representation that visually communicates the key components and considerations when evaluating the pursuit of AI solutions in healthcare settings.

AI Instructional Slide Deck

"Artificial Intelligence: A Primer for Nurses" was developed by the HIMSS Nursing Innovation Advisory Workgroup and is designed to educate nurses on the fundamentals and applications of AI in healthcare. It aims to equip bedside care nurses with the knowledge needed to understand and leverage AI technologies effectively. The slides cover a comprehensive agenda, including an introduction to AI, its types, applications in healthcare, and the specific roles nurses play in AI development and implementation. The presentation emphasizes the importance of integrating nurses' insights into AI design to enhance clinical decision-making and patient care. By automating low-value tasks, AI allows nurses to focus on high-value activities, improving patient engagement and satisfaction. This educational tool is crucial for healthcare leaders to foster a technologically adept nursing workforce capable of navigating the evolving landscape of healthcare technology.

Authors: Kathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAAN;Chad B. Carroll, DNP, MS, RN, NI-BC, FHIMSS; Whende Carroll, MSN, RN, NI-BC, FHIMSS, Anna Schoenbaum, DNP, MS, RN, NI-BC, FHIMSS, FAAN; Darren Batara, MS, BSN, RN, CPHIMS; Nelita luppa, DNP, MS, BSN, RN, NI-BC, NEA-BC, FHIMSS; Olga Kagan, PhD, RN, CIMI, FHIMSS, FAAAAI; Hiyam Nadel, MBA, RN, CCG; Angela Ross, DNP, MPH, RN, PMP, DASM, PHCNS-BC, FHIMSS

Heatmap & Definitions of Technologies

The HIMSS Nursing Innovation Advisory Workgroup selected criteria for developing a heat map to provide evidence-based guidance for decision-making in pursuing technologies. A group of experts within the HIMSS Nursing Innovation Advisory Workgroup aimed to develop an Innovation Inventory Heatmap as a snapshot in time to evaluate the top healthcare technology trends in nursing as a visual comparison guide to evaluate the degree of difficulty and overall value for organizations when compared to top industry experts who have implemented these innovative solutions. Incorporating heat map data into the decision-making process will allow organizations to assess the feasibility of proposed innovation. This approach ensures that technological advancements are user-centered, feasible, and systematically implemented for optimal results.

The Definitions for Top 10 Emerging Technologies of 2024 PowerPoint provide a comprehensive overview of the most impactful emerging technologies in healthcare for 2024. It aims to inform healthcare professionals about the definitions, implementation settings, and key considerations for each technology, including healthcare predictive models, mobile application management, generative AI in electronic health records, staffing workload predictions, smart whiteboards, remote patient monitoring, virtual nursing, fall surveillance, healthcare staff scheduling solutions, and alert/alarm communications. The slides serve as a valuable resource for understanding how these technologies can enhance patient care, optimize operations, and address critical challenges in various healthcare settings.

Authors: Anna Schoenbaum, DNP, MS, RN, NI-BC, FHIMSS, FAAN; Olga Kagan, PhD, RN, CIMI, FHIMSS, FAAAAI; Nelita luppa, DNP, MS, BSN, RN, NI-BC, NEA-BC, FHIMSS; Darren Batara, MS, BSN, RN, CPHIMS; Hiyam Nadel, MBA, RN, CCG; Angela Ross, DNP, MPH, RN, PMP, DASM, PHCNS-BC, FHIMSS; Chad B. Carroll, DNP, MS, RN, NI-BC, FHIMSS; Kathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAAN

5 Rights of AI in Healthcare

The concept of the "Five Rights of AI" draws inspiration from the "Five Rights of Medication," a concept with roots in early 20th-century nursing practices to guide nurses toward safe and accurate medication administration to enhance patient safety and advancing quality improvement. Recognizing the factors that contribute to errors, these rights were established to offer a structured approach for safer patient care. The adaptation of these rights for AI considers the recommendations of the WHO recommendations for ethical and safe use of AI for health and the White House AI Bill of Rights and aims to provide a clear and practical framework for applying and managing Artificial Intelligence (AI) in healthcare settings. These guidelines are designed to assist in the planning, use, and integration of AI technologies in healthcare. The five rights of AI assist in applying a systematic and standardized process to help ensure optimal application, safe, compassionate, and effective outcomes are achieved.

Authors: Robbie Freeman, DNP, RN, Kathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAAN, Olga Kagan, PhD, RN, CIMI, FHIMSS, FAAAAI

References:

  • Dziadzko, M. A., Gajic, O., Pickering, B. W., & Herasevich, V. (2016). Clinical calculators in hospital medicine: Availability, classification, and needs. Computer Methods and Programs in Biomedicine, 133, 1–6. https://doi.org/10.1016/j.cmpb.2016.05.006
  • Hult, M., Halminen, O., Linna, M., Suominen, S., & Kangasniemi, M. (2021). Cost-effectiveness calculators for health, well-being and safety promotion: A systematic review. European Journal of Public Health, 31(5), 997–1003. https://doi.org/10.1093/eurpub/ckab068
  • Ross, A., Freeman, R., McGrow, K. & Kagan, O. Implications of artificial intelligence for nurse managers. Nursing Management (Springhouse) 55(7):p 14-23, July 2024. | DOI: 10.1097/nmg.0000000000000143
  • Soleimanpour, N., & Bann, M. (2022). Clinical risk calculators informing the decision to admit: A methodologic evaluation and assessment of applicability. PLOS ONE, 17(12), e0279294. https://doi.org/10.1371/journal.pone.0279294

Contributors:

  • Whende M. Carroll, MSN, RN, NI-BC, FHIMSS, Clinical Informatics Advisor, HIMSS
  • Cait Obenauf, MBA, SHIMSS, Senior Program Manager, HIMSS
  • HIMSS Nursing Informatics Committee
  • HIMSS Nursing Informatics Networking & Education Task Force

Acknowledgements:

We sincerely acknowledge and appreciate the contributions of the focus group members whose valuable insights helped refine the INSIGHT Calculator.