Ontario family doctor says new AI notetaking saved her job

Healthcare incentives & workload

• Several commenters blame Canada’s (and other countries’) payment models: fee‑for‑service and low capitation rates push doctors to short visits and high volume.
• Documentation and admin work are legally required but often unpaid, driving burnout and exits from family medicine.
• Some note recent reforms (e.g., in BC) that move away from pure fee‑for‑service, but say systemic pressure and shortages remain.

Perceived benefits of AI scribes

• Many see AI note‑taking as analogous to human scribes: capturing history, exam, and decision‑making so clinicians can focus on patients.
• Reported benefits include 30–120 minutes saved per day, reduced after‑hours charting, and better capture of secondary details mentioned in visits.
• Supporters argue that even imperfect tools can improve overall care if they reduce delays and cognitive load.

Risks: accuracy, hallucinations & overreliance

• Strong concern about transcription and summarization errors, with examples of dangerous or embarrassing mistakes in other systems.
• Fear that as AI tools get “good enough,” clinicians will stop thoroughly checking notes, similar to autopilot complacency in aviation or cars.
• Some argue reading and lightly editing AI drafts is still less work than writing from scratch; others counter that this mindset itself is risky.

Privacy & data use

• Multiple comments worry about medical conversations being sent to cloud providers (e.g., big US tech), questioning legality and consent.
• HIPAA (and Canadian equivalents) are described as strict but leaky in practice: complex vendor chains, frequent breaches, and low caps on penalties.
• Patients often sign broad data‑sharing forms without understanding them; some report explicit attempts to route data to non‑compliant third parties.

Liability & regulation

• General agreement that AI systems themselves shouldn’t be legally liable; responsibility lies with clinicians, institutions, and vendors who deploy them.
• Some argue that AI tools that alter clinical text should be treated as medical devices, requiring rigorous certification—possibly hard for LLMs.

EMRs, billing, and system design

• Many see EMRs as primarily billing and compliance tools, not patient‑care tools; documentation is optimized for reimbursement codes.
• Critics say the real fix is to pay clinicians for charting and simplify requirements, not add another layer of tech that they must supervise.

Open-source and market dynamics

• Interest in open‑source scribes (e.g., SOAP generators using Whisper/LLMs) and local processing to improve privacy and lower cost.
• Skepticism that such tools will remain open: expectation that larger vendors will buy and bundle them into expensive proprietary systems.