This bundle includes a selection of three technology session recordings from PALTC24. Recorded sessions include: 

  • Audio synced to slides 
  • Ability to download session handouts

Unlocking the Power of Electronic Health Records for Research, Policy, and Quality

This session will provide an overview of how EHR data can be leveraged for enhancing the care of persons in the PALTC continuum, conducting research, measuring the quality of care, as well as the challenges encountered in its use. Real-world examples from the Netherlands, Canada, and the United States will include discussions on how routine EHR data can be used to supplement public health surveillance and response; how EHR data were used to understand the practice-based quality of PALTC physicians through chart- and electronic-based approaches; and how an integrated EHR module helps practitioners collect additional data during practice for when routine healthcare data is insufficient for audit and feedback purposes. Attendees will also hear about opportunities to engage with the Long-Term Care Data Cooperative’s innovative linkage of EHR data with administrative claims to create a comprehensive, longitudinal patient record.

Learning Objectives:

At the completion of this session, learners will be able to:

  • Understand current EHR reporting practices and varied use of EHR data for research, policy, and quality
  • Discuss the impact of ineffective EHR reporting strategies, enabling the identification of specific areas for improvement in EHR reporting.
  • Examine best practices and innovative approaches to optimize data collection and documentation, and discuss future directions including development of long-term care data networks

 Age-Inclusive Telehealth: What Is It and How Can We Achieve It?

Although the public health emergency ended in Spring of 2023, clinicians will continue to use telehealth. Ensuring age-inclusive telehealth focuses on delivery of high-quality, high-value care to older adults. To ensure this bar is reached, clinicians should assess their telehealth programs to ensure that they are delivering age-inclusive care in that it accounts for older adults’ unique needs and is aligned with principles and guidelines for telehealth and aging.

Learning Objectives:

At the completion of this session, learners will be able to:

  • Understand the principles of age-inclusive telehealth
  • Identify telehealth practices that are not age-inclusive
  • Access and utilize national resources on age-inclusive telehealth use and implementation

Ethical Considerations in Applying Artificial Intelligence to Post-acute and Long-term Care

This session, based upon thorough literature review, sentiment expressed by popular media coverage and participants’ own background and experience with ethics, will present a comprehensive overview of this emerging technology and provide thought-provoking topics for ongoing discussion. The intent is to separate the hype from the real and dispel dystopian fears to show a practical path forward, tempered with rational debate. We will clarify key terminology, discuss existing and experimental use-cases, discuss key ethical principles that need to be considered when adopting this new technology in a long-term care setting. We intend to create enthusiasm, so all participants can welcome the use of this technology without fear.

Learning Objectives:

At the completion of this session, learners will be able to:

  • Demonstrate understanding of the core Health Care Artificial Intelligence (AI) concepts and be able to leverage actionable insights to enhance patient care and safety in a long-term care (LTC) setting.
  • Demonstrate understanding of the six ethical principles outlined in the World Health Organization (WHO) guidance for ethics in Health Care AI and be able to apply these guiding principles to scenarios in LTC setting.
  • Describe cutting-edge use-cases, highlighting the ethical challenges in AI analysis and apply this knowledge to the development of relevant policy within the LTC setting.
  • Improve LTC care by utilizing AI-enhanced tools in areas such as delirium, falls, mobility, and pressure injuries.