Digital Health Adoption & Reimbursement Intelligence
Capitalize on digital transformation with insights into reimbursement design, technology adoption curves, and patient-centered engagement models.
5 Articles in Digital Health and Wellness
Direct Air Capture (DAC): Paving the Way to a Net-Zero Future
Direct air capture (DAC) refers to the process of removing CO2directly from the atmosphere by using various chemical processes. This CO2 is then either stored underground or used in various industrial processes, products, or fuel production. It is considered an important technology for removing CO2 and thus meeting the net-zero and sustainability goals.
Building a Sustainable Healthcare Infrastructure: Transforming Care for a Greener Future
Traditionally, hospitals were the only institutions where science and empathy were integrated to improve patients’ conditions. However, this has always represented a certain ecological impact, which has been recognized over time. The healthcare sector is a large consumer of energy. It generates complex waste and is one of the biggest emitters of greenhouse gases.
Ultra-Low Power Edge AI Chips for Medical IoT Devices: A Call to Build What’s Next
The need for more intelligent and effective devices is greater than ever in the quickly changing field of medical technology, particularly in the Internet of Medical Things (IoMT) space. Medical IoT devices can now run sophisticated AI algorithms locally without depleting battery life—thanks to ultra-low power edge AI processors, which are becoming an essential enabler of this capability.
Voice-Enabled Virtual Health Assistants in Patient Engagement
Voice-enabled virtual health assistants combine speech interfaces and AI to streamline access, self-management and routine clinical workflows. These are not only digital devices; they are the front-runners in delivering personalized, on-demand patient care, making healthcare more accessible, intuitive and efficient than ever before.
Bioprinting of Human Microtissue for Drug Testing
Drug development faces pressure to become faster, more predictive, and more human-relevant. The core problem is the apparent limitations in the way we test medication candidates before human trials. The primary issue with traditional testing methods, including 2D cell cultures and animal experiments, is their inability to replicate the dynamic biological processes that occur in human bodies.
