Data lived in paper registers; monthly snapshots meant crises surfaced too late. Staff now run offline dashboards, no engineers or internet.
A global humanitarian organization providing health care and aid to 16.8 million people annually through more than 2,700 facilities across 40 countries, relying entirely on data from national health systems it cannot control or standardize.
Health data from facilities begins in paper registers, manually transferred to Excel by IRC staff in formats that differ across countries and even...
“With health programs, there’s a lot of seasonality to it, or windows for intervention periods close.”
Provides emergency relief and humanitarian aid to people affected by conflict and disaster.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
International Rescue Committee's Health data dashboards is part of this use case:
Related implementations across industries and use cases
Engineers spent months pulling reports from siloed data. Now, an AI assistant lets clinicians instantly flag high-risk patients via chat.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Deep research capped at 12 voices; broad surveys flattened stories to checkboxes. Claude now tags sentiment across 300 workers at once.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Scared patients chased cures through forums no one had vetted. Sage answers only from the Foundation's reviewed library — or declines.
Each worker negotiates alone — no HR, no coworkers. Ask Aya turns the movement's collective wisdom into guidance she can hold in her hand.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Data lived in paper registers; monthly snapshots meant crises surfaced too late. Staff now run offline dashboards, no engineers or internet.
A global humanitarian organization providing health care and aid to 16.8 million people annually through more than 2,700 facilities across 40 countries, relying entirely on data from national health systems it cannot control or standardize.
Health data from facilities begins in paper registers, manually transferred to Excel by IRC staff in formats that differ across countries and even...
“With health programs, there’s a lot of seasonality to it, or windows for intervention periods close.”
Provides emergency relief and humanitarian aid to people affected by conflict and disaster.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
International Rescue Committee's Health data dashboards is part of this use case:
Related implementations across industries and use cases
Engineers spent months pulling reports from siloed data. Now, an AI assistant lets clinicians instantly flag high-risk patients via chat.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Deep research capped at 12 voices; broad surveys flattened stories to checkboxes. Claude now tags sentiment across 300 workers at once.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Scared patients chased cures through forums no one had vetted. Sage answers only from the Foundation's reviewed library — or declines.
Each worker negotiates alone — no HR, no coworkers. Ask Aya turns the movement's collective wisdom into guidance she can hold in her hand.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.