AI-powered speech recognition technology boosts healthcare in Saudi Arabia

3M unveiled the 3M M*Modal Fluency Direct, the most recent speech and AI-powered technology, at the 2022 HIMSS Middle East Health Conference & Exhibition in Riyadh. This move is in keeping with its ongoing plans to support the Kingdom of Saudi Arabia’s Vision 2030 Health Sector Transformation Programme. This technology will assist physicians in all care settings to accurately and completely record the patient story while concentrating on providing high-quality patient care. Its goal is to accelerate the transformation of digital health in the Kingdom.

This technology is aimed to be made into an all-in-one solution to vocally make, review, edit and sign clinical notes straight into electronic health records by physicians. Documentation of clinical processes will increase thanks to this technology and also bear down on administrative burden for healthcare professionals across the nation. The experience of both clinician and patient will better along with productivity in the healthcare system with the use of this technology.

  To help clinicians proactively address any typical documentation deficiencies at the moment of note production, the system leverages artificial intelligence to offer proactive nudges to clinicians as they enter patient interactions into electronic health records. It will enable more accurate classification and proper reimbursement in addition to raising the calibre of documentation.

Erik Van Hoeymissen, Vice President Global Clinician Solutions at 3M Health Information Systems said “In recent years, healthcare has evolved considerably. Today, there is a clear need to reduce the administrative burden on healthcare professionals, which will allow them to have more time to focus on patient care and improve the overall patient experience. 3M M*Modal Fluency Direct is a solution that enables clinicians to do exactly that: it significantly speeds up the clinical documentation process by enabling a voice-driven conversational interaction with the electronic health record, while at the same time improving clinical documentation quality by proactively nudging clinicians and surfacing important information in real-time through AI-based speech understanding technology.”