~/talk

How AI Is Rebuilding Healthcare

Talkat DLD Health x BAIOSPHERE 2026 · on Friday, 2026-06-12· [ai-assisted-development]
name:Baringer
links:none on file
name:Rinser
links:none on file
name:Kuroczik
links:none on file
slides:none on file

Health systems face a looming 350,000 staff shortfall, GPs with seven minutes per patient and two days of admin weekly, and costs tripling since the 90s; a clinician-built AI called 321 Met already answers calls, books appointments and runs in thousands of offices. The practical solution is a workflow layer acting as a universal socket connecting calendars, telehealth and labs, combined with guardrails and escalation paths to manage LLM hallucinations. Longer-term goals include a digital twin for actionable prevention.

AI-written summary · about

  1. 0:00Healthcare system challenges
  2. 1:47AI reducing admin burdens
  3. 3:16AI-driven health coaching
  4. 7:33Healthcare AI fragmentation
  5. 10:24Moving to prevention
  6. 12:56AI-powered healthcare future
  7. 14:40AI adoption barriers
  8. 16:26Regulations as advantage
  9. 19:36Handling AI errors
  10. 21:44AI as assistant
  11. 23:12Closing remarks & Q&A
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