Healthcare is something we all care about—whether it’s our own, our family’s, or our loved ones’. But with so much information circulating online, how do we know what’s reliable? Misinformation is everywhere, from exaggerated headlines to promotional claims disguised as facts. Understanding the basics of how healthcare evidence is generated and evaluated can empower you to make informed decisions.
Have you ever come across a study and wondered if it’s credible? Do you know the difference between a preprint and a peer-reviewed publication? These distinctions matter when interpreting medical claims, whether they’re about a new drug, a cutting-edge AI tool, or a supposed breakthrough in treatment.
Not Knowing What to Trust—And When
Once, mass media was widely trusted. Today, social media floods us with information in every shade of truth.
Some research papers are rigorously peer-reviewed; others are not.
With so many conflicting narratives, how do we even agree on the facts, let alone the premises?
No wonder we struggle to “agree to disagree.”
Understanding the essentials of decoding healthcare news can make all the difference.
It helps you assess credibility, recognize potential biases, and determine which sources deserve your trust—and when.
This isn’t about telling you what to believe. Instead, this guide equips you with practical tools: different perspectives, logical cues, and frameworks for interpretation. With the same data, you’ll learn to uncover more insights (and doubts) than you did before—enhancing your ability to navigate the Spectrum of Interpretation with confidence.
The Spectrum of Interpretation refers to the range of ways the same healthcare data can be framed, understood, or even manipulated based on different perspectives and biases. By recognizing this, you’ll be able to read between the lines and make more informed judgments.
Cutting Through the Hype: AI & Emerging Technologies in Healthcare
Artificial intelligence and machine learning are transforming healthcare, from diagnostic algorithms to personalized medicine. But how do we distinguish genuine advancements from overhyped claims? Understanding how AI models are trained, validated, and tested in real-world settings helps separate reality from marketing.
Get Personalized Guidance from a Published Expert
For those who want a deeper understanding but don’t have the time to enroll in formal courses, we offers tailored 1:1 online lessons on demand. These private sessions are designed to give you a clear and concise overview, focusing on key insights without unnecessary complexity. Whether you need a crash course on medical research, insights into AI in healthcare, or a guide to evaluating pharmaceutical claims, these lessons will help you navigate healthcare information with confidence.
Our Recent Publications on AI:
Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov:
Cross-Sectional Study With Temporal Trends, 2010-2023
Journal of Medical Internet Research (2024)
Public Disclosure of Results from Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)
Journal of Medical Internet Research (2025)
We can Help
You’ll be better equipped to navigate AI news, spot misleading claims, and make informed health decisions. Knowing how to evaluate evidence is your best defence against misinformation.
Stay informed, stay critical, and take control of your healthcare knowledge!