What is AI file summarisation?
Medical files can run to dozens or even hundreds of pages — notes, test results, correspondence and medication history. In referrals, handovers and multidisciplinary team meetings, healthcare professionals need to quickly get to grips with the file. Manual summarisation takes an average of 15–30 minutes per file.
AI reads the complete file and generates a structured summary with the key findings, current medication, relevant history and outstanding questions.
How does it work?
Natural Language Processing analyses the complete file and extracts relevant information based on medical ontologies (SNOMED CT, ICD-10). The system distinguishes current problems from historical information and structures the summary according to your preferred format.
Summaries are tailored to their purpose: a referral summary contains different information from a summary for a multidisciplinary team meeting or an emergency admission.
What does it deliver?
Healthcare professionals report 60% time savings on file preparation, faster handovers and better-informed decision-making. According to research by Erasmus MC, structured file information improves the quality of referrals by 30%.