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Research
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The Research Institute (RIM)
The Research Institute at Mayanei Hayeshua Medical Center (RIM) was established in 2020 to significantly advance the standard and quality of care and improve outcomes through research and development. In its initial stage, research focuses on mental health and women’s health, with plans to expand into additional fields in the future.
The Institute provides researchers with access to advanced technologies, tests, and services available at the medical center. Led by Dr. Or Friedman, the team advises researchers, broadens their capabilities, and fosters collaborations with partners in Israel and around the world — generating discoveries and insights that shape treatment and benefit patients.
RIM supports mental health and women’s health research by providing technical support and high-quality services, along with access to the resources researchers need, such as controlled access to databases and their analysis, support for publications, advice, and training. This helps answer not only today’s research questions but also the medical needs of tomorrow.
The Institute primarily supports the medical center’s own staff, helping translate technology into medical practice and streamline processes. Its collaborations include Tel Aviv University, Bar- Ilan University, the Holon Institute of Technology (HIT), and the Jerusalem College of Technology (Lev Academic Center).
RIM's vision is to improve quality of care through extensive access to unique patient populations. Its central location, the rapid and continuous growth in patients and medical staff, the breadth of its facilities and fields of care, and its early adoption of advanced technologies all help bring that vision to life.
Mayanei Hayeshua’s Research Institute was the first to use AI tools to collect and analyse data and improve medical decision-making. These insights strengthen mental health care and help advance mental health treatment across Israel.
Caring for populations with distinct cultural characteristics allows the Institute to collect vast amounts of data. Careful analysis of this data yields especially valuable insights in mental health and women’s health — all conducted under strict regulation and without using patients’ identifying information.
In research, NLP is used to build data-driven learning systems that scan clinical records, extract keywords and phrases, interpret the intent behind language, and identify patterns and trends across an entire body of text — comparing them to derive insights that improve care. Mayanei Hayeshua’s modern databases give therapists and researchers a foundation for testing hypotheses and developing new ideas.
Leading Divisions in Research Activity
- 12,000 babies a year
- 13 state-of-the-art, fully equipped delivery rooms
- 10 reception rooms for childbirth
- A variety of birthing options
- A team of experts with extensive experience across all aspects of childbirth
- A gynaecology department specialising in all areas of the field
- 12,000 babies a year
- 13 state-of-the-art, fully equipped delivery rooms
- 10 reception rooms for childbirth
- A variety of birthing options
- A team of experts with extensive experience across all aspects of childbirth
- A gynaecology department specialising in all areas of the field
Simulation Center
The Simulation Center provides advanced training for medical teams, preparing them to handle complex and emergency situations through realistic, scenario-based simulations. Sessions are led by senior physicians and instructors using advanced equipment and technology that
recreate a wide range of real-life medical conditions.
Training is tailored to different fields and teams, including neonatal and NICU care, paediatrics, women and maternity care, adult medicine, and emergency medicine. Topics include resuscitation, ventilation, neonatal IV procedures, paediatric sedation, childbirth emergencies, complex maternity cases, care of ventilated patients, urgent medical treatment, and more.
Ongoing simulation training and repeated practice in realistic environments equip teams to respond more effectively in emergencies — and help save lives.



