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Nursing Informatics


The Data-Tightrope: How Nurses Can Balance AI Efficiency with Clinical Judgment
AI is moving fast in healthcare. Nurses sit at the center of safety, workflow, and patient-centered care. This post gives you a simple framework to use AI tools without losing clinical judgment.

Dr. Alexis Collier
3 days ago3 min read


The Rise of AI in Nursing: Opportunities, Risks, and What Leadership Needs to Know
AI is transforming nursing practice with both promise and peril. With 64% of nurses wanting more AI tools and 44% of metro hospitals already adopting them, nursing leaders must navigate opportunities in clinical decision support, workflow automation, and education—while addressing critical risks around bias, data quality, and workforce impact. This article provides an evidence-based roadmap for responsible AI integration

Dr. Alexis Collier
Oct 272 min read


From Data Glitches to Patient Safety: Why Clinical Vigilance Trumps Algorithmic Certainty
Clinical vigilance, not algorithmic certainty, protects patients. Nurses lead when judgment and technology work together.

Dr. Alexis Collier
Oct 212 min read


Synthetic Patients, Real Ethics: Why Nurses Must Shape the Future of Healthcare AI Training Data
Synthetic data is reshaping AI in healthcare, but without nurse input, these tools risk repeating systemic blind spots. This piece makes the case for why nurse leadership is essential in designing ethical, inclusive data.

Dr. Alexis Collier
Oct 143 min read


When Data Lies: A Nurse’s Guide to Recognizing and Reducing Bias in Clinical Data
Bias hides in the data that shapes every diagnosis, treatment plan, and algorithm. Nurses are on the front line of spotting these blind spots. From flawed pulse oximeters to inequitable risk scores, biased data can cost lives. This post explores how bias shows up in clinical practice, real-world examples that prove the stakes, and practical steps nurses can take to protect patients and push healthcare toward fairness.

Dr. Alexis Collier
Sep 163 min read


When Algorithms Meet Empathy: What AI Needs to Learn From Nurses
AI is transforming the clinical workspace, but machines also need to learn from nurses. This article explores the hidden skillset nurses bring to AI-driven care and why empathy and context are vital for patient safety.

Dr. Alexis Collier
Sep 23 min read


Cybersecurity Is Patient Safety: Why Nurses and Clinicians Can’t Ignore Digital Threats
Cybersecurity is not just an IT issue. In healthcare, it is patient safety. Cyberattacks can delay medications, block lab results, and put lives at risk. Nurses and clinicians must treat every system failure or phishing attempt as a potential safety threat. This article reframes cybersecurity through a clinical lens and offers steps for building a cyber-aware culture.

Dr. Alexis Collier
Aug 192 min read


From Bedside to Boardroom: How Nurses Can Build Tech‑Driven Careers Without Burning Out
The nursing profession is evolving. Today’s nurse leaders are combining clinical expertise with technology to design smarter, more efficient care systems. Discover how to transition from bedside to boardroom while preventing burnout and building a tech‑driven career you love.

Dr. Alexis Collier
Aug 52 min read
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