Workers spent five hours searching physical folders per request. Now, AI extracts online form data to create updatable digital records.
A German health technology startup serves the elderly care sector, which faces a chronic shortage of workers to support 5.7 million people in need of care.
Patient admissions were handled through paper-based legacy systems that took five hours per request. When facility capacity finally opened up,...
“Growing up, I could see how hard my mum was working on weekends. And my dad had a burnout due to the high stress of organising day-to-day operations in the sector.”
AI-powered CRM platform for the social economy and nursing care sector.
Cloud computing platform and on-demand infrastructure services.
CareMates's Patient admissions is part of this use case:
Related implementations across industries and use cases
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Four reps handled 40,000 cases, forcing 3-day waits for routine swaps. AI now resolves them in seconds, cutting costs to $2 per case.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Workers spent five hours searching physical folders per request. Now, AI extracts online form data to create updatable digital records.
A German health technology startup serves the elderly care sector, which faces a chronic shortage of workers to support 5.7 million people in need of care.
Patient admissions were handled through paper-based legacy systems that took five hours per request. When facility capacity finally opened up,...
“Growing up, I could see how hard my mum was working on weekends. And my dad had a burnout due to the high stress of organising day-to-day operations in the sector.”
AI-powered CRM platform for the social economy and nursing care sector.
Cloud computing platform and on-demand infrastructure services.
CareMates's Patient admissions is part of this use case:
Related implementations across industries and use cases
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Four reps handled 40,000 cases, forcing 3-day waits for routine swaps. AI now resolves them in seconds, cutting costs to $2 per case.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.