AI Wants Your Job—Unless You Learn to Lead It.

Welcome to Healthlista!

Hey there, Joyce here 👋 

Every week, we gain more clarity on how artificial intelligence is quietly—and quickly—becoming embedded in the everyday fabric of healthcare. From hospitals exploring AI-powered diagnostics to Ambient AI scribes being piloted across the NHS—automatically documenting patient consultations to free up clinicians—AI is already reshaping how care is delivered.

Even outside traditional healthcare settings, innovation is accelerating. OpenAI recently announced a collaboration with Jony Ive, the legendary Apple designer, to create a sleek, intuitive AI device—described as the “iPhone of artificial intelligence.” The goal? To humanize AI and integrate it naturally into our daily lives—including how we experience healthcare.

For healthcare professionals, AI literacy is no longer optional—it’s the currency of the present. Leading institutions are already building systems where AI, healthcare, education, and research work in harmony to expand access and reduce friction. The endgame is simple: make high-quality, affordable care scalable and sustainable.

This isn’t just about keeping up—it’s about leading the change. Start small. Start learning. But start now.

🧠 Career Pivot Notes

I learned about the following new AI roles this week:

• AI Diagnostics Specialist: Utilizes machine learning to analyze medical images and patient data for early disease detection and personalized treatment plans.

• AI-Powered Patient Coordinator: Employs AI to manage appointments, provide personalized health information, and monitor patient adherence to treatments.

• Healthcare AI Data Analyst: Analyzes large datasets to identify trends and develop predictive models for patient outcomes and resource allocation.

• AI Healthcare Ethicist: Ensures ethical considerations in AI applications, focusing on bias detection, transparency, and patient data privacy.

• AI Research Nurse: Participates in clinical trials and studies focused on AI applications in healthcare, aiding in the design and analysis of AI-driven research.

• Remote Patient Monitoring Specialist: Uses AI systems to track patient health metrics remotely, facilitating continuous care without hospital visits.

• Healthcare AI Engineer: Develops and implements AI solutions to address healthcare challenges, requiring knowledge of healthcare data standards and machine learning.

• Chief AI Officer (CAIO): A C-suite role responsible for an organization's AI strategy, implementation, and governance, ensuring alignment with business objectives.

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📄 I also wrote a mini-guide for medics trying to enter healthtech.
Want a copy? Click here!

💼 Highlight of my week

📺 Funny video I watched on Tiktok

👀 Who’s Hiring ?

Looking to make the jump too?

• Leia health, a medical app digitalizing postpartum experience.

  (Let me know if you want a curated job list every week!)

💬 Quote of the Week

🐝 From One Medic to Another...

Never put yourself in a box, constantly amaze yourself😎

If this resonated, forward to a friend or reply to share your story. I always read them.

Till next week,
— [Joyce]