Typing handwritten notes bottlenecked patient care. Now, doctors speak freely while AI structures clinical data directly into records.
A German acute care hospital with 218 beds that treats thousands of patients annually across general medicine, surgery, and pediatric departments.
Doctors spent 10 to 15 minutes per consultation manually typing up handwritten notes, completing medical histories, and transferring medication...
“Since going live in March 2025, the system has already transcribed over 1,300 conversations and recorded around one million words. This saves our medical staff around ten minutes per consultation. That adds up to two hours a day that we can devote directly to our patients.”
Regional hospital providing emergency, specialized, and outpatient medical services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Developed and implemented an AI-supported documentation system for the hospital's clinical practice.
Related implementations across industries and use cases
Heavy documentation burdened physicians and limited patient focus. Now, ambient AI drafts clinical notes directly from consultations.
Detailed notes broke patient eye contact. Now, AI drafts reports for clinician approval, driving same-day reporting from 5% to 85%.
Answering one regulatory question averaged two hours. AI now provides instant, cited answers in seconds.
Heavy documentation burdened physicians and limited patient focus. Now, ambient AI drafts clinical notes directly from consultations.
Detailed notes broke patient eye contact. Now, AI drafts reports for clinician approval, driving same-day reporting from 5% to 85%.
Clinicians struggled to stitch together charts. Claude now delivers instant, cited summaries, cutting latency by 61%.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
Silos hid the true cost of delays. Now, AI weighs crew, cargo, and passenger factors to calculate optimal recovery plans in real time.