AI for Healthcare & Pharma

Why AI Matters for Healthcare & Pharma

Clinicians spend 2 hours on paperwork for every 1 hour of patient care. Prior auth takes 14 days and costs $31 per transaction. Drug development averages 10-15 years and $2.6B per approved drug. AI can change these numbers — here is how.

The documentation burden is crushing clinicians

If you work in healthcare, you already know this number feels right even before you see the data: for every one hour a physician spends with a patient, they spend nearly two hours on documentation and administrative tasks. The Annals of Internal Medicine published this finding, and it has only gotten worse since.

Emergency physicians spend an average of 4,000 keystrokes per hour during a shift. Hospitalists spend 50% of their time interacting with the EHR rather than patients. Nurses report spending up to 40% of their shift on documentation. And this is not because anyone chose poor workflows — it is because the regulatory, billing, and liability requirements of modern healthcare demand comprehensive documentation for every encounter.

The result: a burnout epidemic. Over 60% of physicians report symptoms of burnout, with EHR-related documentation consistently cited as a top contributor. Burnout drives turnover, and turnover drives costs — the estimated cost of replacing a single physician ranges from $500,000 to $1 million when you factor in recruitment, onboarding, lost revenue, and temporary coverage.

The documentation burden is not just a quality-of-life issue. It is an operational crisis with direct financial impact on every health system.

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Where does documentation burden hit hardest in your organisation?