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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.

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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Photo of Dr. Poorna Kushalnagar, a principal investigator from the Center of Deaf Health Excellence at Gallaudet University

Bridging the Gap: ASL-Fluent Navigators and the Future of Cancer Screening

In the realm of preventative medicine, a one-size-fits-all approach often leaves historically underserved populations behind. For adults who are Deaf, Deafblind, and Hard of Hearing (DDBHH), the path to a routine cancer screening is frequently blocked by a complex web of systemic barriers. From the lack of health information available in American Sign Language (ASL) to the recurring struggle of ineffective patient-physician communication, these challenges do more than just cause frustration—they lead to delayed diagnoses and poorer health outcomes.

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Photo of Christiane Melchior, a postdoctoral researcher at Lappeenranta-Lahti University and her colleagues from the Université de Montréal

Ratios of Trust: the Rise and Fall of the WHO’s Popular Legitimacy

In the digital age, a ratio on social media is more than just a fleeting moment of internet drama, it can be a measurable signal of institutional trust. As global health crises like COVID-19 unfold, the battle for public confidence moves from official press releases to the real-time arena of social platforms. But can we scientifically measure something as complex as popular legitimacy simply by looking at how the world interacts with an organization on X?

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Breaking barriers: accessible VR for mental health

Breaking Barriers: Accessible VR for Mental Health

Virtual Reality (VR) can be a powerful tool in mental health care, particularly for assisting with relaxation. By immersing users in calming natural environments, VR can effectively lower stress and anxiety. However, despite its potential, high-quality VR relaxation remains largely locked away in specialized clinics. The barriers are clear: stand-alone headsets are expensive, the software can be difficult to operate, and many apps aren't available in local languages.

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Beyond the Table: Using Graph Methods to Modernize Clinical Trial Protocols

fhir4pharma: Digitalizing Clinical Trial Protocols with FHIR

Clinical trials rely heavily on the Schedule of Activities (SoAs), the detailed roadmap that dictates what data must be collected and precisely when. Traditionally, this roadmap is presented as a static, tabular chart within the study protocol. However, real-world research is rarely static. Patients miss visits, unexpected events occur, and complex study designs (like in oncology) require multiple treatment cycles and conditional branching.

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