Agenda

Nurse Informaticist Role and Patient Experience during the COVID Pandemic Response

The COVID-19 pandemic presented many information technology challenges and opportunities. Nurse informaticists played a unique role in planning, design, and implementation of tools supporting the front line clinical work. In particular, the use of telehealth was a pivotal tool in providing a bridge to patient care, and clinical and patient communication, while enhancing the patient experience with limited staff and family exposure.

Rolling Up Our Sleeves: Nurses Leading AI Projects. This presentation will inform the audience about the essentials nurses need to lead artificial intelligence (AI) projects in the 21st Century. It will help nursing informaticists understand how to identify the purpose and scope of AI projects, focusing on specific skills and tools needed for AI project leadership. The presenter will illuminate the evolving nursing roles critical for leading AI projects and discuss the importance of partnering with AI developers for successful product design. This discussion will summarize future nursing opportunities for AI project focus, dissemination of project outputs, and creating what’s next, leading the development and being the changemakers and creators of new AI-driven processes, models, services, and products in clinical settings.

To meet the needs of 21st century healthcare and practice partner leaders, nurses at both the entry and advanced levels must be competent in ten specific domains. This presentation will focus on the new American Association of Colleges of Nursing Re-Envisioned Essentials for all practicing nurses with attention to two domains, Population Health and Information and Healthcare Technologies. It is the goal of these domains to have nurses who can be full participants and leaders in health care transformation. We also plan to offer a one-month “Touch Back” session to participants who want to reconnect to discuss application of the new essentials.

Digital Transformation in Patient Engagement.

While the COVID-19 pandemic necessitated rapid acceleration in patient engagement on digital platforms across the nation, clinicians at the University of Pennsylvania Health System were fortunate to have had a solid foundation of digital health infrastructure in place pre-pandemic, which thereby enabled the successful scale of digital health operations within weeks. This session will communicate the digital transformation strategy of an academic health care system. We will provide case studies of digital transformation across the care continuum and discuss how we’ll capture value hereafter to sustain in the new digital world. We will demonstrate in impact digital transformation has had on Penn Medicine patients both locally and regionally, as well as communicate strategies we’ve implemented to mitigate the realisms of the digital divide.

UK and Australian Nursing Informatics Competencies.

This session will explore the development of nursing digital capabilities as a global issue which is necessary to facilitate health care organizations meet their digital transformation aspirations. The way in which the emergence of frameworks for nursing digital capabilities highlight the role nurses can, and will, play in an ever increasing digital society to support patient care in complex and challenging environments.

Health IT Innovations in a Time of Public Health Crisis Information technology development is accelerating at a record pace as highlighted by the COVID-19 pandemic. New technology and new uses for existing technology became the norm over the past year. This presentation highlights some of the innovations that were spurred by clinical necessity and takes a peek into the future of technology in the healthcare setting

The workgroup of nursing informatics experts has completed its charge to review and revise the 2015 Nursing Informatics: Scope and Standards of Practice, Second Edition. This session will present an overview of the revised definition of NI  and other changes integrated into the new publication slated for release this fall.

During the COVID-19 pandemic, there has been remarkable growth in the public adopting digital health programs globally. The adoption has occurred at various levels including the use of innovative technologies, government’s financial support, and policies. A major change occurred in patient engagement, and nurse informaticians have made significant contributions in this area. In this session, an international panel of speakers introduce various innovative approaches they have used to engage the public in self-care, during and after the pandemic.

If You are Not Counted, You Don't Count: The Important Uses of(Sexual Orientation and Gender Identity Data in Health Care.

This presentation will provide attendees with a foundational understanding of the health equity and access to care challenges facing the LGBTQ+ communities and the resulting health disparities that ensue. The presenter will discuss the importance of documenting Sexual Orientation and Gender Identity (SOGI) demographic data in addressing these challenges. The talk will also highlight both opportunities and potential care barriers within the area of sexual orientation-and gender identity-related informatics and healthcare technology.

This presentation will introduce participants to the application of artificial intelligence (AI) in health care. It will include a brief history of AI, an overview of commonly used terms and methods in AI, and practical advice regarding leading and participating in AI projects. The objective of the presentation is to help orient nurse informaticists to the AI development process so that they can adapt and use it to tackle challenges relevant to nursing practice.

Computational Methods for Next Generation Health Care Next generation healthcare will be driven by prevention and treatment strategies that take individual variability into consideration. Much of this variability is captured in the large amount of data of different types that has become available: clinical encounters, lab results, diagnostics, medications, genomics, and increasingly, physiological, lifestyle, social behavioral and environmental data. The challenge is how to leverage modern methodologies from machine learning, data mining, and decision science to extract insights from all this data collected over large populations, in order to apply them at individual level to improve health and wellness outcomes. The overarching goal of Computational Health Research is to enable this journey from complex and diverse health data to useful insights for individuals. At IBM Research we have been systematically developing advanced artificial intelligence and data science methodologies for healthcare, ranging from intelligent data preparation and pattern extraction, to complex models for actionable insights generation, to delivery and engagement optimization.  These methodologies have been applied to a wide range of use cases and disease areas. I will discuss these methods and use cases, lessons learned and important future directions.