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imagine what 18.5 million saved hours could mean in healthcare. that’s the equivalent of over 9,000 full-time doctors working for a full year.
it could mean millions more appointments for seniors waiting months to see a specialist, faster diagnoses for families anxiously awaiting test results, and more time for compassion—not just charting.
instead, those hours are buried in paperwork, billing codes and redundant data entry.
while politicians debate long-term recruitment strategies, an immediate solution exists: ai-powered healthcare tools that are already proving transformative globally.
telus health’s latest white paper, discussed at a recent gathering of industry experts at the company’s annual conference, demonstrates how ai tools could immediately unlock these trapped hours. by automating routine documentation, streamlining billing processes and converting voice to structured medical notes in real-time, we can redirect thousands of hours back into patient care.
the technology exists today. the question isn’t whether we should use ai in healthcare—it’s why aren’t we moving faster to implement these game changing solutions?
for millions of canadians waiting for care, every hour counts.
reducing complexity, minimizing friction and improving coordination, ai offers an immediate solution by accelerating decision-making, as well as automating routine tasks such as charting, billing and documentation. electronic medical records can be easily integrated with ai-powered workflows to halve the time spent on finding clinical data, creating patient charts and matching inbox files.
similarly, ai scribes—tools that automatically take medical notes in a clinical setting—can reduce documentation time by up to 29 hours per month, per clinician, while tripling charting speed over traditional entry by hand. a
pilot project by ontariomd demonstrated that tools like these can reduce documentation burnout by an astounding 69.5 per cent. and that’s just the beginning.