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Reviewed by Kayleigh-Ann Clegg, PhD

Scientific News Editor @ JMIR Publications with a diverse background in clinical psychology, academic research, and digital health program development. I'm passionate about knowledge translation and accessibility, as well as data- and values-driven innovation. My goal is to make vital scientific knowledge clear and accessible to everyone so that we can better our lives and the world around us.

Bridging the Clinical XR Gap

The Experience Gap: Better Appraisals for Clinical XR

Formative evaluation is a vital pillar of implementation science, used to identify early barriers to adoption before deploying new health technologies. Traditionally, this process relies on gathering stakeholders’ expectations through preuse questionnaires. While this works well for standard screen-based apps, it hits a bottleneck when applied to immersive systems like Extended Reality (XR).

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Blog post for Heart Rate at the Limit: Validating the Samsung Galaxy Watch 6 for Maximal Exercise

Heart Rate at the Limit: Validating the Samsung Galaxy Watch 6 for Maximal Exercise

As wearable technology becomes a staple in both fitness and clinical monitoring, the demand for high-accuracy heart rate (HR) tracking continues to grow. While most smartwatches perform well at rest, the real challenge lies in maximal-intensity exercise, where heavy movement and physiological stress can interfere with optical sensors.

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Clean Lab Data for Oncology

Fixing the Foundation: High-Fidelity Lab Data for Oncology Research

Real world data (RWD) is increasingly a key engine behind modern drug discovery and clinical decision making. However, anyone who has worked with electronic health records (EHRs) knows that this engine often relies on data that are fragmented and inconsistent. Laboratory results, which are the backbone of oncology care, are frequently plagued by inaccurate codes and missing units.

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The Blueprint for Clarity: The Four Pillars of Health Care Dashboard Design

Mastering the Dashboard Revolution in Health Care

The landscape of health care management is undergoing a digital transformation. From the frantic pace of emergency departments to the strategic boardrooms of national health systems, data dashboards are no longer a luxury—they are a clinical necessity. These visual tools are redefining how providers track patient safety, how administrators allocate resources, and how public health officials communicate with the world.

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From Chatbots to Surgeons: Navigating the AI Revolution in Medical Education

Redefining the Future of Medical Education with AI

The landscape of medical training is undergoing a seismic shift. From the hallowed halls of traditional lecture centers to the interactive screens of global learning platforms, Artificial Intelligence (AI) is no longer a futuristic concept, it is a present-day reality. AI is redefining how future doctors learn, how they are assessed, and how they will eventually treat patients.

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