-
-
Diabetes Self-Management in the Digital Health Era: A Concept Analysis Using Natural Language Processing
Diabetes self-management is increasingly shaped by digital health technologies, yet existing conceptual definitions do not fully reflect this evolving landscape. This study aimed to refine the concept of diabetes self-management in the digital health era by applying Rodgers’ evolutionary method integrated with Natural Language Processing (NLP). Ninety-seven studies were analyzed through a dual-phase design combining…
-
A Centralized Virtual Care Support Model for Improved Telehealth Operational Outcomes
As telehealth achieves a steady state in the post–Covid-19 pandemic health care landscape, health systems require operational models that can support clinicians across service lines. The authors describe a highly successful case study of a centralized telehealth support model, the Virtual Care Center (VCC), within Duke University Health System, a large academic health system. Duke…
-
AI Engineers Nanoparticles for Improved Drug Delivery
Biomedical engineers at Duke University, including Center member Daniel Reker, have developed a platform that combines automated wet lab techniques with artificial intelligence (AI) to design nanoparticles for drug delivery. The approach could help researchers deliver difficult-to-encapsulate therapeutics more efficiently and effectively. Read the article
-
Digital twins for noninvasively measuring predictive markers of right heart failure
Digital twins offer a promising approach to advancing healthcare by providing precise, noninvasive monitoring and early detection of diseases. In heart failure (HF), a leading cause of mortality worldwide, they can improve patient monitoring and clinical outcomes by simulating hemodynamic changes indicative of worsening HF. Current techniques are limited by their invasiveness and lack of…
-
Physical artificial intelligence in nursing: Robotics
Robotics, driven by advancements in physical artificial intelligence (AI), offers potential solutions–yet many challenges– to creating innovative care models to meet the needs of the future. Purpose To present an overview of robotics across various industries and explain how physical AI is aiding the development and integration of robots into skilled nursing. We discuss the…
-
-
Human-Centered Design of a Virtual Reality Intervention to Promote Early Mobility in a Cardiothoracic ICU
Creative solutions are needed to enhance mobility activities in the ICU to combat the sequela of prolonged bed rest. Virtual reality has gained favor for use in outpatient areas, yet the user experience of the ICU patient is relatively unknown. This qualitative study aimed to explore the patient experience of ICU mobility as it relates…
-
Deep brain stimulation for depression informed by intracranial recordings
The success of deep brain stimulation (DBS) for treating Parkinson’s disease has led to its application to several other disorders, including treatment-resistant depression. Results with DBS for treatment-resistant depression have been heterogeneous, with inconsistencies largely driven by incomplete understanding of the brain networksregulating mood, especially on an individual basis. We report results from the first subject treated with…
-
Holographic visualization for stereotactic neurosurgery research
Invasive brain neuromodulation therapies are continuously evolving to address a range of neurologic and psychiatric disorders [1]. These clinical efforts rely on the strategic placement of depth electrodes in the brain to interface with the neural circuitry. However, defining the target position and trajectory in the brain for an electrode is an inherently complex 3D problem that requires the integration…
