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.
Developed and implemented an AI-supported documentation system for the hospital's clinical practice.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Klinikum Landsberg am Lech's Clinical documentation is part of this use case:
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%.
Documentation glued doctors to screens. Now, an AI drafts notes from conversations, leaving physicians to simply review and approve.
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%.
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.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
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.
Developed and implemented an AI-supported documentation system for the hospital's clinical practice.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Klinikum Landsberg am Lech's Clinical documentation is part of this use case:
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%.
Documentation glued doctors to screens. Now, an AI drafts notes from conversations, leaving physicians to simply review and approve.
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%.
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.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.