Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Latin America's top-ranked hospital, processing more than 120,000 imaging exams per year across a network of 10,000 physicians serving public and private patients with equal quality of care.
To identify patients needing follow-up, clinicians manually reviewed free-text radiology reports case by case and assembled patient cohorts in...
“Some of our physicians joked that they would need to go back to school just to query their own data.”
Private healthcare system for hospital services, research, and medical education.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Hospital Israelita Albert Einstein's Clinical data queries is part of this use case:
Related implementations across industries and use cases
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Latin America's top-ranked hospital, processing more than 120,000 imaging exams per year across a network of 10,000 physicians serving public and private patients with equal quality of care.
To identify patients needing follow-up, clinicians manually reviewed free-text radiology reports case by case and assembled patient cohorts in...
“Some of our physicians joked that they would need to go back to school just to query their own data.”
Private healthcare system for hospital services, research, and medical education.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Hospital Israelita Albert Einstein's Clinical data queries is part of this use case:
Related implementations across industries and use cases
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.