Artificial intelligence can take over repetitive clinical paperwork such as note-taking and medical coding, helping health systems cope with a projected global shortage of 10 million health workers by 2030, according to a report from QuickBlox.
The report, published Aug. 16, points to a widening gap between the number of healthcare workers available and the demand for care. The World Health Organization has warned that the shortfall will hit hardest in regions where health systems are already stretched.
Where AI fits in clinical work
Documentation and coding are among the most exhausting parts of a clinician's job, the report said. AI tools can prepare clinical documentation for doctors to review instead of requiring them to create every note manually.
QuickBlox's Q-Consultation platform includes an AI-enabled scribe that drafts SOAP notes and suggests ICD-10 and CPT codes for clinician review. The company stresses that doctors remain in control of the final documentation.
"Inefficiency in healthcare doesn't exist in isolation-it collides with something bigger: the workforce gap," said Nate MacLeitch, CEO of QuickBlox. "Put simply, the numbers don't add up. The current system can't hold. Without telemedicine platforms for providers that help patients connect to the right clinician at the right moment, reforms-no matter how well-meaning-will fall short. And if we don't introduce tools that ease the paperwork and admin load, the staff left behind will keep burning out."
The report cites Kaiser Permanente's rollout of AI scribes across 600 offices and 40 hospitals, saying the tools improved accuracy and allowed physicians to spend more time with patients.
Guiding patients to the right care
The report also examined the patient side of the problem. Patients are often directed to the wrong part of the system, creating unnecessary appointments, repeated assessments, and additional pressure on clinicians.
AI can help at both ends, the report argues: directing patients to appropriate care and reducing the documentation burden on professionals once they are providing that care.
For professionals working in healthcare, the practical takeaway is that AI scribes and coding assistants are becoming standard tools rather than experiments. The technology targets the administrative load that contributes to burnout, and the AI for Healthcare training path can help clinicians evaluate these tools. Professionals in medical billing and coding may want to review how AI-assisted documentation affects their workflow, since the report suggests these tasks increasingly shift from manual creation to review.
Why this matters for healthcare professionals
The report's central argument is that AI's role in healthcare is not about replacing doctors. It is about helping systems make better use of the workers they already have at a time when the number of available professionals may not meet future demand.
For clinicians, that means the paperwork burden is likely to shrink as AI scribes and coding tools become more common. The skills that matter will shift toward reviewing and verifying AI-generated documentation, not producing it from scratch. Understanding how these tools work now, before they become standard, is a practical way to stay ahead of the change.
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