UM6P Tests Virtual Hospital Model

Why this is here: An AI algorithm used in virtual hospitals can predict patient deterioration up to 17 hours before adverse clinical outcomes.

Professor Rachid El Fatimy at University Mohammed VI Polytechnic (UM6P) in Morocco is exploring how virtual wards are changing patient care. Health systems globally face increasing strain from shrinking workforces and rising chronic disease, with the WHO forecasting an 11 million healthcare worker shortage by 2030.

UM6P’s geriatric center is developing an AI-powered system for monitoring patients at home. This aims to reduce hospitalizations and improve care for older adults.

Virtual hospitals reduce avoidable admissions and shorten hospital stays, freeing up roughly three beds daily in one study. An evaluation in southeast England showed virtual wards generated an annual net benefit of £10.4m ($13.9m). Patients supported by virtual clinics experienced a 14.9% readmission rate, compared to 20.1% with standard care.

However, successful implementation requires overcoming challenges like data integration, digital literacy gaps, and equitable access to technology and reliable home medical devices. The work at UM6P and elsewhere continues to refine and expand this model.