Simon Mooijaart

OpenAI is exploring “consumer health tools”.
If an AI is giving health advice, that’s medicine at scale.

And if it’s medicine, three things are non-negotiable:

1️⃣ Doctors in the loop
2️⃣ Older people in the design – not as an afterthought
3️⃣ Data that actually contains older people

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Nearly 150,000 aged 90 and above wait 12 hours in England’s A&Es each year Older people left in their own excrement and wet beds for hours and forced to watch others die, Age UK report finds

The system isn’t broken. It’s obsolete.

We’re not overwhelmed by ageing.
We’re paying the price for decades of lazy design.

The healthcare system was never built for older people.
It was built for short-term fixes, single diseases, and people who recover fast.

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If you read (social) media about AI, you almost become afraid of what AI will do to healthcare.
Personally, I’m more afraid of what will become of care without AI.

Despite the hype, the mistakes, the hallucinations, the threats I believe AI can make care better.

❓ What do you think?

#AI #MedSky

People aged over‑70 spend more time online than 40‑somethings.

“Is that going to work for older people? Can they even use it?

Reality: yes they can!

Read further: buff.ly/UJ3Bw8N

#AI #medsky #geriatrics

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Simon Mooijaart: Patient Perspectives on Antithrombotic Therapy in Advanced Cancer - OncoDaily Simon Mooijaart: Patient Perspectives on Antithrombotic Therapy in Advanced Cancer / Anette Arbjerg Højen, antithrombotic therapy, cancer, Carme Font, Elin

“Who am I to stop taking my medication?"

Patient Perspectives on Antithrombotic Therapy in Advanced Cancer

#cancer #thrombosis #geriatrics #medsky #medication #sdm #palliative

oncodaily.com/voices/simon...

🧠 "#AI not one-size-fits-all”?
It’s not even one thing!

#AI is many has many faces:
🧮 Predictive models: Structured data — labs, claims, vitals — outcomes, stratify risk,.
🗣️ NLP, LLMs, and Generative AI: Messy, human language — summarize, interpret, engage

Read more on LinkedIn: buff.ly/mbYjbxB

“𝗪𝗵𝗼 𝗮𝗺 𝗜 𝘁𝗼 𝘀𝘁𝗼𝗽 𝘁𝗮𝗸𝗶𝗻𝗴 𝗺𝘆 𝗺𝗲𝗱𝗶𝗰𝗮𝘁𝗶𝗼𝗻?” - 𝘢 𝘱𝘢𝘵𝘪𝘦𝘯𝘵 𝘢𝘴𝘬𝘦𝘥 𝘪𝘯 𝘰𝘶𝘳 𝘳𝘦𝘤𝘦𝘯𝘵 𝘴𝘵𝘶𝘥𝘺.
That question stayed with me.

When doctors want to stop medication, wefocus on the clinical reasoning: Risk of bleeding. Limited benefit. A burden.
✔️ All true — but not enough.

Read more on LinkedIn
buff.ly/QxOg1f5

Yes, always verify the information you get from a credible source!

❓ 𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐭𝐨𝐨𝐥 𝐢𝐧 𝐦𝐲 𝐜𝐚𝐫𝐞 𝐟𝐨𝐫 𝐨𝐥𝐝𝐞𝐫 𝐩𝐞𝐨𝐩𝐥𝐞? 𝐋𝐢𝐬𝐭𝐞𝐧𝐢𝐧𝐠!
➡️ 𝐀𝐧𝐝 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐲 𝐈 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐩𝐫𝐨𝐦𝐢𝐬𝐞 𝐨𝐟 𝐀𝐈 𝐢𝐧
#Geriatrics

Reed more on LinkedIn
www.linkedin.com/feed/update/...

#medmastodon #ai #chatbot

Your turn: Have you caught AI in a confident mistake lately? How did you spot it?

(This example: I asked Claude Sonnet 4 about myself - see the confident but wrong response!)

#AIinHealthcare #Geriatrics #Delirium #HealthTech

8/8

Whether it's a confused patient telling me they're "fine" while clearly delirious, or an AI confidently giving me wrong info about someone...

The lesson is the same: verify, don't just trust.

7/8

With #AI, we should do the same - fact-check, cross-reference, and ask for evidence.

The risk is identical in both cases: the falsehood sounds convincing, and not catching it is dangerous.

6/8

In patient care, I always confirm with:
- Collateral history
- Objective facts
- Physical examination

We literally cannot trust what seems obvious without verification.

5/8

🧠 In humans: delirium is the brain under stress
🤖 In AI: it's algorithms filling gaps with patterns that sound plausible, but aren't anchored in reality

Both create false confidence in wrong information.

4/8

AI "hallucinations" tick some of these boxes - sudden onset, lack of true awareness, confident but flawed logic.

But here's the key difference... 🧵

3/8

Both AI and delirium can produce convincing, yet completely wrong realities.

In patient care, delirium means:
- Acute onset & fluctuating course
- Disturbance in attention & awareness
- Cognitive change
- Direct consequence of medical condition

2/8

Help, my AI has a delirium 😵💫

Last week - as a test - I asked an AI "who is Simon Mooijaart?" It gave me a confident, detailed answer... about someone else entirely 🙃

As a geriatrician, this instantly reminded me of delirium - a condition I see daily at the bedside: #delirium

🧵 1/8

The Most Common Kind of Cancer Patient in America Is the One We Study the Least At 82, would former President Joe Biden even qualify for the trials he funded?

Well said. Not including older adults in research studies about diseases that primarily affect older adults is just ageism, pure and simple.
slate.com/technology/2...

Incredible evening launching @acha020.bsky.social having a peek into the amazing research and community work for the population of East London planned with the fabulous @proflizsampson.bsky.social & @adamgordon1978.bsky.social

t.co/WCgXPtK7Vc

☑️ The original CAM does work when used by trained raters

‼️ But an unvalidated CAM variant - with no cognitive testing/interview - is widely used in clinical practice

⚠️ This 'CAM-Lite' has dangerously low sensitivity

➡️ New blog on this critical issue in #delirium care

Link below⏬

🥳 Superproud of this bunch: the management team of the CoClarity #RCT. Submitted the trial protocol today.

#CoClarity: A Shared Decision Support Tool to reconsider the use of Anti-Thrombotic Therapy in patients with #cancer in the last phase of life:

✅ Lower risk of #thrombosis
🛑 Risk of bleeding

Very nice #thesis defense by Jonathan Bogaerts earlie this week. 🧑🏻‍🎓

Depresribing of antihypertensive medication in the very old, an inspiring topic for lively (and funny) discussion!

🥳 Congratulations, Jonathan!

#geriatrics #hypertension #medsky

Shared Opportunities and Challenges – ACHA forges a research collaboration with the LUMC Centre for Medicine for Older People - Academic Centre for Healthy Ageing

The latest in our @acha020.bsky.social blog series - Shared Opportunities and Challenges - ACHA forges a research collaboration with the LUMC Centre for Medicine for Older People.

@wilcoachterberg.bsky.social @drsimonpm.bsky.social @proflizsampson.bsky.social

acha.qmul.ac.uk/research/sha...

So inspiring! Looking forward to your return visit already 😀

Use of #AI decreases with increasing age.

✅ #AI offers a lot of promises also in care for older people
❌ #AI is not tailored to needs of older people

➡️ We have work to do

🔗 JAMA, buff.ly/2jxuUhz

#geriatrics #digital #medsky

Very nice #thesis by Jonathan Bogaerts:

📓 High blood pressure and its treatment in the very old - balancing benefits and risks
🧑‍🎓 Defense April 16th at #Leiden University

😀 really looking forward

#geriatrics #hypertension #medsky

Nice presentation by #PhD candidate Denise Abbel about the complex choice to use #antithrombotic therapy in patients with #cancer in the last phase of life:

✅ prevention of thrombic events
❌ risk of bleeding

❓what is more important?

#oncology #geriatrics

Interesting! Can you share a link please?

Nice hike 🥾 exploring the surroundings of the Symposium 😀