Informessor

ChatGPT Health Breakdown: The Most Important Health Product of the Decade?

The next decade of healthcare will not be won by the flashiest sensor or the cleverest algorithm. It will be won by whoever makes health information finally feel coherent to ordinary people, without turning privacy into collateral damage. In that sense, ChatGPT Health arrives with a bold promise: not better data, but a better relationship […]

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Fixing Emergency Department Delays: How Health Informatics Can Help

Walk into almost any busy emergency department and you will feel it before you measure it. The waiting room is full, but the bigger problem is hidden behind the doors. Hallway beds. Patients who already need inpatient care still parked in the emergency department because there is nowhere to send them. Clinicians working at sprint

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Wellness App or Medical Device? How Wearables Cross The Line

Wearables are no longer just tracking habits. They are shaping decisions. The same sensor that counts steps can also trigger a notification about a possible condition. The moment your product language or UX nudges a user toward diagnosis, treatment, or prevention, you are no longer shipping a wellness feature. You are shipping something regulators may

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AI in Drug Discovery & Clinical Trials: How Far Have We Come?

Artificial intelligence in drug discovery and clinical trials has been sold as a cure for the industry’s patience problem. Faster discovery. Cheaper trials. More precise therapies. But on this date in late 2025, how much of that promise is real and how much is still projection? Here’s a quick answer:AI in drug discovery and clinical

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Will AI Replace Healthcare Data Analysts? Here’s What Actually Changes

You’re likely living through the most important shift your role will ever see. AI copilots can already suggest SQL, draft documentation, summarize research papers, and even outline dashboards. In many organizations, leaders are asking a quiet question: If AI can do this much, what do we still need analysts for? The answer is not “better

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Top 10 Healthcare Technology Trends For 2026

Healthcare is moving into a pivotal moment. Rising labor pressure, severe cost constraints, and fast moving patient expectations are forcing hospitals, payers, and health technology companies to rethink how they deliver value. What once felt experimental now feels inevitable. The year 2026 is shaping up to be a turning point where artificial intelligence, next generation

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AI in Hospitals: What Is Actually Working vs What Is Still Hype

Picture this. A primary care doctor finishes the last visit of the day, closes the exam room door, and instead of turning back to a mountain of notes, taps a button on a phone. The visit is already drafted. The ambient AI scribe has captured the conversation, suggested a structured note, and the physician only

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10 Essential SQL Patterns Every Healthcare Data Analyst Should Master

Healthcare organizations ask the same analytic questions over and over, yet many teams still rebuild SQL from scratch each time. This guide collects essential SQL patterns for healthcare data analysts and turns them into a practical playbook you can reuse for daily work. Essential SQL patterns for healthcare data analysts are reusable query structures that

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The 5 Most Valuable AI Skills

What To Expect: The five most valuable AI skills are workflow automation, AI agents, prompt engineering, LLM management, and SaaS development. Together they convert data into decisions and time savings. Use automation for repeatable tasks, agents for multi step work, prompts for accuracy, LLM management for safety and cost, and SaaS to package value for scale.

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Top 10 Most Promising Careers in Health Informatics

Health informatics connects clinical insight, data fluency, and product thinking. The strongest careers in this space pay well, scale skill by skill, and make a measurable difference at the bedside and beyond. Quick answer box.The most promising careers in health informatics include clinical informatics specialist, health data analyst, data scientist, health data engineer, interoperability and

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