Prof. Mohamed Diaa Zain El-Abedeen, President of Ain Shams University, received Mr. Adam Gayle, President of KLAS Research, and Mr. Everton Santos, Vice President of the company, in the presence of Prof. Tarek Youssef, Executive Director of Ain Shams University Hospitals, Eng. Hossam Afifi, Director of Digital Business Development for Healthcare and Director of the University Hospitals Automation Program, and Mr. Mohamed Abdel Aal, Senior Director of Products and Strategy, representatives of Vodafone Egypt.

The meeting discussed in-depth the current status of hospital automation at Ain Shams University, including the challenges and opportunities associated with improving health services through digital transformation. The attendees also discussed the prospects of strategic cooperation between Ain Shams University and KLAS Research to support innovation and achieve an ambitious vision in developing the health sector.

Prof. Mohamed Diaa expressed his appreciation for the visit of the KLAS Research delegation, stressing the importance of partnership with leading global entities in improving the performance of health care systems.

For his part, Mr. Adam Gayle praised the great progress made by Ain Shams University Hospitals in the field of health process automation, stressing that KLAS Research is ready to provide support and advice through insights based on accurate and reliable research.

KLAS Research is a global institution specialized in providing independent analyses on the performance of IT providers in the healthcare sector. KLAS reports are based on the opinions and evaluations of end users, allowing healthcare institutions to make informed decisions about adopting new technologies. The institution aims to improve the quality of healthcare by providing accurate insights into digital solutions and digital transformation technologies in the medical field.

At the end of the meeting, it was agreed to enhance the frameworks of future cooperation between the two parties, with a focus on developing advanced automation systems that contribute to improving the quality of health services and achieving the desired digital transformation.