Insights & research

The Alana Health blog

Field-tested perspectives on AI medical receptionists, occupational medicine automation, workers' comp workflows, and HIPAA-aware clinic operations.

AI in Healthcare

What if employer clients could track their workers' comp claims without ever calling your office?

How AI-enabled employer portals are transforming client services in occupational medicine — real-time claim visibility, RTW forecasting, and OSHA reporting.

March 20264 min read
AI in Healthcare

AMA Survey: 81% of doctors now use AI — so why are workers' comp clinics still stuck in 2015?

The AMA's 2026 Physician Survey shows 81% of doctors now use AI. What it means for occupational medicine and workers' compensation clinics.

March 20267 min read
AI in Healthcare

Transforming work status form processing with AI for occupational medicine clinics

How AI for occupational medicine can automate CA-17, CA-20, and work status form requests. HIPAA-aware voice automation that cuts costs by 59%.

February 20268 min read
AI in Healthcare

What is AI for occupational medicine? A plain-English guide

A plain-English guide to AI for occupational medicine clinics. What it is, why occ med is uniquely suited to AI, and how to get started.

February 20267 min read
AI in Healthcare

5 ways AI is reducing administrative burden for occ med clinics in 2026

Five concrete ways AI is cutting administrative overhead for occupational medicine clinics in 2026, from work status automation to intelligent billing.

February 20267 min read
Strategy Guide

The complete AI strategy roadmap for occupational health clinics

A 4-phase AI strategy roadmap for occupational health clinics — from foundation assessment to full-scale optimization over 18+ months.

February 202610 min read
Workers' Compensation

How AI is transforming workers' comp case management

How AI is automating workers' compensation case management — intelligent intake, deadline tracking, predictive modelling, and communication automation.

February 20269 min read
AI Strategy

Why 90% of AI projects fail — and how healthcare orgs can beat the odds

MIT and Forbes research finds 85–90% of AI projects fail due to poor data quality. Why governance is the #1 predictor of AI success in healthcare.

February 20269 min read