Sheba Medical Center to Implement AI to Reduce Doctor Workload by Half
Translated & summarized from Israel Hayom by baba
The Sheba Medical Center will implement a new AI system on January 1st to reduce doctors' workload by 50%, enabling more patient focus. Director Professor Yitzhak Kreiss stated the system will automate medical record entries from conversations. He highlighted that organizational change and training are crucial for AI adoption in healthcare, noting AI's potential to reduce medical errors.
The story in 6 lines · by baba
- Sheba Medical Center will launch an AI system on January 1st to cut doctor workload by 50%.
- The AI will automatically transcribe doctor-patient conversations into medical records.
- Professor Yitzhak Kreiss stated AI could reduce medical errors compared to humans.
- Sheba aims to make all 11,000 employees users and developers of AI tools.
- Organizational culture change and training are considered 70% of the AI revolution.
- Sheba is building a new 'hospital of the future' in the Negev, set to open in six years.
Beginning January 1, the Sheba Medical Center will deploy a new artificial intelligence system designed to cut doctors' workload by approximately 50%, allowing them to focus more on patient care. Professor Yitzhak Kreiss, director of the Sheba Medical Center, announced this initiative at the Israel Information Technology Conference 2026 in Tel Aviv. The AI system will listen to doctor-patient conversations, automatically transcribe them, and input the information directly into electronic medical records, eliminating the need for manual typing and reducing the screen barrier between physicians and patients.
Kreiss explained that the Western healthcare system faces a growing gap between public needs and available resources. To address this, Sheba, recognized as a leading global hospital, is strategically transforming its 11,000 employees into users and developers of AI tools tailored for each department. He emphasized that the technology itself is only 10% of the AI revolution, with 70% of the challenge lying in organizational culture change, employee training, barrier removal, and ethical considerations.
Addressing concerns about AI errors in medicine, Kreiss cited trials indicating that AI makes fewer mistakes than humans, particularly under conditions of high workload and fatigue, such as during night shifts in the emergency room. He also mentioned Sheba's ongoing project to build a new hospital in the Negev, expected to open in about six years as a "hospital of the future." Kreiss believes this integration of medicine and advanced technology, originating from Israel, has the potential to reshape global healthcare.
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