Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Medical robotics is poised to transform all aspects of medicine—from surgical intervention to
targeted therapy, rehabilitation, and hospital automation. A key area is the development of …

Objective The purpose of this study was to describe the process and cost of delivering a
physical therapist–guided synchronous telehealth exercise program appropriate for older …

Background Implementation strategies increase the adoption of evidence-based practices,
but they require resources. Although information about implementation costs is critical for …

Objectives Implementation of value-based initiatives depends on cost-assessment methods
that can provide high-quality cost information. Time-driven activity-based costing (TDABC) is …

Autonomous artificial intelligence (AI) for pediatric diabetic retinal disease (DRD) screening
has demonstrated safety, effectiveness, and the potential to enhance health equity and …

Importance Identifying high priority pediatric conditions is important for setting a research
agenda in hospital pediatrics that will benefit families, clinicians, and the health care system …

Micro-costing studies still deserving for methods orientation that contribute to achieve a
patient-specific resource use level of analysis. Time-driven activity-based costing (TDABC) …

Human cognitive time has become a key asset of the digital economy, yet we lack the means
to manage it. In response to that need, we propose a technology to manage cognitive time in …

Health care is uncertain, dynamic, and fast growing. With digital technologies set to
revolutionise the industry, hospital capacity optimisation and planning have never been …