Abstract: Today’s care delivery platforms are changing the nature and location of care and how health and services are coproduced, untethered by walls or geographical setting. Nurse, patients and care team members are in an early learning curve to leverage new digital health data types and sources (smart devices, sensors, wearables, and digital twins) for real time feedback into care activities, for in person and virtual care. Real time digital health data generated by the patient and about the patient including interactions with the nurse, care partners, and the environment offer feedback loops to shape the design and evaluation of care interventions and care models. The use of AI, algorithms, machine learning, advanced computer vision, and environmental sensing technologies require a next generation of decision support for shared care activities with patients. This panel will discuss three case studies of how to leverage real time digital health data to shape the design and evaluation of interventions and care models.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Participants will be able to explore ways to leverage the use of smart devices, sensors and wearables, and digital twins for real time learning and care delivery design.
Susan Hull (Presenter)
Michael Wang (Presenter)
Dana Womack (Presenter)
Rosemary Kennedy (Presenter)