Iran’s AI platform digitizes health research boosting accuracy, cutting costs and supports e-records, e-prescriptions, and telemedicine.
Tehran: An Iranian knowledge-based company hosted at the Health Science & Technology Park of Shahid Beheshti University of Medical Sciences has deployed an AI-enabled research platform that moves medical research from paper-based processes to a fully digital workflow boosting accuracy, shortening timelines, and reducing costs across universities and research centers under the Ministry of Health.
CEO Hossein Zakaei said the platform provides a unified research infrastructure, overcoming years of fragmented foreign software, isolated in-house tools, and paper forms. Over the past five years, more than 300 research projects have been executed on the “Rabit” platform, starting with a cohort study on ageing supported by the Ministry of Health effectively shifting national research practice from paper to digital.
The system has expanded into clinical operations as a configurable framework for e-prescriptions, electronic medical records (EMR), appointment scheduling, telemedicine, and virtual visits. To date, the platform has created over 20,000 electronic records for cancer patients and digitized over 10,000 legacy medical forms, giving clinicians faster access to longitudinal patient histories and enabling better, data-driven decisions.
As part of its social responsibility track, the platform working with the Health Insurance Organization and several medical universities has produced map-based dashboards visualizing 400–500 million health data points (mortality, cancer status, and noncommunicable disease risk factors) by age, gender, and province. The Shahid Beheshti University alone is running 70 disease registry projects on the platform. During the COVID-19 outbreak, a patient-tracking programme was implemented with the Ministry of Health and the Central Bank to support evidence-based policymaking.
The ecosystem also supports mobile mammography and a breast-cancer screening app that estimates individual risk using symptoms, lifestyle, and family/genetic history, then generates a personalized action plan.
By consolidating research and clinical data flows in one AI-ready stack, Iran’s new platform marks a pivotal step toward paperless health research, scalable registries, and analytics-driven public health.