A palliative care doctor visits patients at 8 PM — not out of passion, but because she spent four hours after clinic closing doing reports, billing codes, insurance forms, and documentation.

This is not an exception.

This is healthcare in 2025.

And it’s breaking the system.

In this Quick Byte, Malcolm takes you inside a classroom in Buchs, Switzerland — the first major AI course for Medical Practice Assistants in the DACH region — where he makes a shocking discovery:

Out of 30 healthcare professionals,

only ONE uses AI for documentation.

The very thing they hate most.

The thing that consumes 4 hours a day.

The thing that Voice AI can reduce to minutes.

🔥 What You’ll Learn

1. The 8 PM Problem

Why doctors, nurses, and assistants are drowning in administrative work — and why this crisis is growing across Europe.

2. The Two-Step Revolution of Voice AI

Most doctors are stuck at Step 1: speech-to-text.

The real breakthrough is Step 2: AI processing.

One voice note →

✓ Patient note

✓ Referral letter

✓ Billing codes

✓ Inventory updates

✓ Medication checks

✓ Lab request

All generated automatically.

3. The Productivity Impact

• 66% of doctors already use AI
• But only 21% use it for documentation
• Cleveland Clinic: 70% adoption, 1M+ encounters, 30% productivity boost
• 14 minutes saved per doctor per day
• Practices lose €5,000–15,000 yearly in forgotten billings

4. The 10 Commandments of Voice AI

Malcolm explains the practical framework:

• Record AFTER patient visit (DACH-specific)
• Don’t aim for perfection — dialects & chaos are fine
• Use natural language cues (“this is urgent”, “please prioritize”)
• Do multiple 30–90 sec brain dumps per day
• Record conferences & journal clubs
• Build workflows, not transcripts
• Integrate CRM for context
• Create templates
• Parallelize tasks
• Collaborate with MPAs

5. Why the Market Is Exploding

AI medical coding market: $2.4B → $8.4B by 2033

Fastest tech adoption in healthcare history

Doctors are not desperate for AI —

They’re desperate to get their lives back.

6. Your Next Move

Tomorrow morning, after your next patient:

Hands off the keyboard.

Record in natural language.

Drop it into a HIPAA/GDPR-compliant AI tool.

Save 20–30 minutes that day — and hours by month’s end.

This is not disruption.

This is not innovation theater.

This is giving healthcare professionals their time back so they can give patients their attention back.

And Malcolm leaves you with one final challenge:

Next time you visit your doctor, ask them:

“How are you using AI already?”

If the answer is no…

Find a new doctor.

🔥 KEY TOPICS

• The hidden burnout crisis for doctors & MPAs
• Why administrative load destroys healthcare capacity
• The two-step misunderstanding of Voice AI
• Step 1: Voice Recording
• Step 2: AI Workflow Processing
• Why 97% of healthcare workers are stuck in Step 1
• Case studies from Cleveland Clinic and DACH region
• The 10 Commandments of Voice AI
• How to start tomorrow with real, measurable gains

💬 NOTABLE QUOTES

• “This isn’t occasional — this is every. single. day.”
• “Only one out of thirty healthcare professionals used AI for documentation.”
• “Welcome to the medical Neanderthal world.”
• “You’re not talking to a human. You’re talking to an AI.”
• “Stop hiding behind the data protection dinosaur.”
• “If your doctor doesn’t use AI — find a new one.”

🔗 WHERE TO FIND MALCOLM

LinkedIn: https://www.linkedin.com/in/malcolmwerchota/

Website: https://www.werchota.ai

YouTube: https://www.youtube.com/@werchota

X: https://x.com/malcolmwerchota

Instagram: https://www.instagram.com/malcolmwerchotaai

TikTok: https://www.tiktok.com/malcolmwerchota

✉️ CONTACT

Direct: malcolm@werchota.ai

Podcast Team: social@werchota.ai

🎓 AI FIT ACADEMY

Become AI-productive in 2 weeks.

Ship First. Study Later.

https://www.werchota.ai/ai-fit-academy

🔎 SEO TAGS (EN)

Voice AI healthcare, medical documentation AI, doctor burnout, AI productivity, healthcare automation, HIPAA AI tools, GDPR medical AI, parallel workflow automation, healthcare AI adoption